initial reaction process for subbituminous coal pyrolysis with molecular dynamics simulation
卤氨化反应英语
卤氨化反应英语Here is an English essay on the topic of "Halogenation Reactions" with a word count of over 600 words:Halogenation reactions are a fundamental class of organic chemical transformations that involve the introduction of a halogen atom, such as chlorine, bromine, or iodine, into an organic compound. These reactions are of great importance in organic synthesis, as they provide a means to functionalize and modify organic molecules, leading to the creation of new and useful compounds.One of the most common types of halogenation reactions is the electrophilic halogenation of alkenes. In this process, an alkene, which is a carbon-carbon double bond, reacts with a halogen molecule (e.g., Cl2, Br2, or I2) to form a haloalkane, also known as an alkyl halide. The mechanism of this reaction typically involves the initial formation of a bromonium or chloronium ion intermediate, followed by the attack of a nucleophile, such as a halide ion, to displace the halogen and form the final product.For example, the reaction of ethene (C2H4) with bromine (Br2) would proceed as follows:C2H4 + Br2 → CH2Br-CH2Br (1,2-dibromoethane)The bromonium ion intermediate is formed first, and then the bromide ion attacks to displace one of the bromine atoms, resulting in the formation of 1,2-dibromoethane.Another important class of halogenation reactions is the radical halogenation of alkanes. This process involves the use of a radical initiator, such as ultraviolet light or peroxide, to generate a halogen radical, which then abstracts a hydrogen atom from the alkane to form a new alkyl radical. This alkyl radical then combines with another halogen molecule to produce the haloalkane product.For example, the reaction of methane (CH4) with chlorine (Cl2) under radical conditions would proceed as follows:CH4 + Cl· → CH3· + HClCH3· + Cl2 → CH3Cl + Cl·The initial chlorine radical abstracts a hydrogen atom from methane, forming a methyl radical, which then combines with another chlorine molecule to give chloromethane (CH3Cl).Halogenation reactions can also be used to functionalize morecomplex organic molecules, such as aromatic compounds. In these cases, the halogenation typically occurs through an electrophilic aromatic substitution mechanism, where the halogen electrophile replaces a hydrogen atom on the aromatic ring.For instance, the reaction of benzene (C6H6) with bromine (Br2) in the presence of a Lewis acid catalyst, such as FeBr3, would produce bromobenzene (C6H5Br):C6H6 + Br2 (FeBr3) → C6H5Br + HBrThe Lewis acid catalyst helps to activate the bromine molecule, facilitating the electrophilic substitution on the aromatic ring.Halogenation reactions have a wide range of applications in organic synthesis, including the preparation of various pharmaceutical intermediates, agrochemicals, and other valuable organic compounds. Furthermore, the halogenated products can serve as useful building blocks for further chemical transformations, allowing for the synthesis of more complex molecules.In conclusion, halogenation reactions are a versatile and essential tool in the field of organic chemistry, enabling the introduction of halogen atoms into organic compounds and facilitating the creation of a diverse array of useful and often complex chemical structures.。
羟胺与氰基反应
1. Single Step100%OverviewSteps/Stages Notes1.1 R:NH2OH, S:H2O, S:EtOH, 48 h, reflux Reactants: 1, Reagents: 1, Solvents: 2, Steps:1, Stages: 1, Most stages in any one step: 1ReferencesNitrile and amidoxime compounds, theirpreparation and use in semiconductorprocessingBy Lee, Wai MunFrom U.S. Pat. Appl. Publ., 20090111965, 30Apr 2009Experimental ProcedureAB) Reaction of Benzonitrile. Benzonitrile (0.99 cm3, 1 g, 9.7 mmol) and hydroxylamine (50% in water,0.89 cm3, 0.96 g, 14.55 mmol, 1.5 eq) were stirred under reflux in EtOH (10 cm3) for 48 hours. Thesolvent was evaporated under reduced pressure and water (10 cm3) was added to the residue. Themixture was extracted with dichloromethane (100 cm3) and the organic extract was evaporated underreduced pressure. The residue was purified by column chromatography to give the product. N'-hydroxybenzimidamide, yield 1.32 g, 100%, as a white crystalline solid. mp 79-81° C. (lit 79-80° C.) CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.2. Single Step100%OverviewSteps/Stages Notes1.1 R:NH2OH, S:EtOH, 1 h, reflux; reflux → rt stereoselective, Reactants: 1, Reagents: 1,Solvents: 1, Steps: 1, Stages: 1, Most stagesin any one step: 1ReferencesPreparation of diaryl-substituted 5-memberedheterocycles as antibacterial agentsBy Mobashery, Shahriar et alFrom PCT Int. Appl., 2009082398, 02 Jul2009Experimental Procedure(Z)-N'-hydroxybenzamidine (compound 17-structure shown below): A solution of ethanol (5.0 mL),benzonitrile (203 mg, 1.97 mmol) and hydroxylamine (520 mg, 7.87 mmol) were refluxed for 1 hour.The reaction was then cooled to room temperature and concentrated in vacuo to give the a clear oilwhich was taken to the next step without further purification (268 mg, 100%). 1H NMR (500 MHz,CDCL3) δ(ppm): 4.92 (2H, bs), 7.38-7.44 (3H, m), 7.62-7.65 (2H, m). 13C NMR (125 MHz, CDCL3)δ(ppm): 126.1 (CH), 128.9 (CH), 130.2 (CH), 132.6, 152.8. MS (FAB+): 137 (MH+). HRMS forC7H8N2O (MH+): calculated: 137.0715; found 137.0718.CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.3. Single Step100%OverviewSteps/Stages Notes1.1 R:NH2OH, S:EtOH, 1 h, reflux; reflux → rt stereoselective, Reactants: 1, Reagents: 1,Solvents: 1, Steps: 1, Stages: 1, Most stagesin any one step: 1ReferencesPreparation of oxadiazole derivatives asantibacterial agentsBy Mobashery, Shahriar et alFrom PCT Int. Appl., 2009041972, 02 Apr2009Experimental Procedure(Z)-N'-hydroxybenzamidine (compound 17 - structure shown below): A solution of ethanol (5.0 mL),benzonitrile (203 mg, 1.97 mmol) and hydroxylamine (520 mg, 7.87 mmol) were refluxed for 1 hour.The reaction was then cooled to room temperature and concentrated in vacuo to give the a clear oilwhich was taken to the next step without further purification (268 mg, 100%). 1H NMR (500 MHz,CDCL3) δ(ppm): 4.92 (2H, bs), 7.38-7.44 (3H, m), 7.62-7.65 (2H, m). 13C NMR (125 MHz, CDCL3)δ(ppm): 126.1 (CH), 128.9 (CH), 130.2 (CH), 132.6, 152.8. MS (FAB+): 137 (MH+). HRMS forC7H8N2O (MH+): calculated: 137.0715; found 137.0718.CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.4. Single Step99%OverviewSteps/Stages Notes1.2 R:Disodium carbonate, S:H2OReferencesDiscovery and SAR exploration of N-aryl-N-(3-aryl-1,2,4-oxadiazol-5-yl)amines aspotential therapeutic agents for prostatecancerBy Krasavin, Mikhail et alFrom Chemistry Central Journal, 4, No pp.given; 2010CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.5. Single Step95%OverviewSteps/Stages Notes1.1 R:H2NOH-HCl, R:NaOH, S:H2O, 1 h, 30°C, pH 10; 2 h, reflux Reactants: 1, Reagents: 2, Solvents: 1, Steps:1, Stages: 1, Most stages in any one step: 1ReferencesTwo synthetic methods of 3,4-bis(3-nitrophenyl)furoxanBy Yang, Jian-ming et alFrom Hanneng Cailiao, 17(5), 527-530; 2009 CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.6. Single Step95%OverviewSteps/Stages NotesReferencesSynthesis of 3,4-bis(3',5'-dinitrophenyl-1'-yl)furoxanBy Huo, Huan et alFrom Hecheng Huaxue, 17(2), 208-210; 2009 CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.7. Single Step93%OverviewSteps/Stages Notes1.1 R:NH2OH, S:H2O, S:MeOH, > 1 min, 50°C; 3 h, reflux Reactants: 1, Reagents: 1, Solvents: 2, Steps:1, Stages: 1, Most stages in any one step: 1ReferencesQuinazoline derivatives as adrenergicreceptor antagonists and their preparation,pharmaceutical compositions and use in thetreatment of diseasesBy Sarma, Pakala Kumara Savithru et alFrom Indian Pat. Appl., 2005DE01706, 31Aug 2007CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.8. Single Step92%OverviewSteps/Stages Notes1.1 R:NH2OH, R:Et3N, S:EtOH, rt stereoselective, Reactants: 1, Reagents: 2,Solvents: 1, Steps: 1, Stages: 1, Most stagesin any one step: 1ReferencesPotent inhibitors of lipoprotein-associatedphospholipase A2: Benzaldehyde O-heterocycle-4-carbonyloximeBy Jeong, Hyung Jae et alFrom Bioorganic & Medicinal ChemistryLetters, 16(21), 5576-5579; 2006 CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.9. Single Step89%OverviewSteps/Stages Notes1.1 R:EtN(Pr-i)2, R:H2NOH-HCl, S:EtOH, 18 h, 80°C Reactants: 1, Reagents: 2, Solvents: 1, Steps:1, Stages: 1, Most stages in any one step: 1ReferencesTuned methods for conjugate addition to avinyl oxadiazole; synthesis ofpharmaceutically important motifsBy Burns, Alan R. et alFrom Organic & Biomolecular Chemistry,8(12), 2777-2783; 2010CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.10. Single Step91%OverviewSteps/Stages Notes1.1 R:NaOH, R:H2NOH-HCl, S:H2O, S:EtOH, 12 h, 80°C; cooled Reactants: 1, Reagents: 2, Solvents: 2, Steps:1, Stages: 1, Most stages in any one step: 1ReferencesPreparation of heteropolycyclic compoundsand their use as metabotropic glutamatereceptor antagonistsBy Edwards, Louise et alFrom U.S. Pat. Appl. Publ., 20050272779, 08Dec 2005Experimental ProcedureGeneral/Typical Procedure: Example 6 N-Hydroxy-3-methoxy-benzamidine. Using the generalprocedure of Shine et al., J. Heterocyclic Chem. (1989) 26:125-128, hydroxylamine hydrochloride (22ml, 5 M, 110 mmol) and sodium hydroxide (11 ml, 10 M, 110 mmol) were added to a solution of 3-methoxybenzonitrile (11.5 ml. 94 mmol) in ethanol (130 ml). The reaction mixture was then heated atreflux (80 °C.) for 12 h. After the mixture was cooled, most of the solvent was removed in vacuo. Thecrude product was partitioned between ethyl acetate and water, washed with saturated brine, driedover anhydrous sodium sulfate and the solvent was removed in vacuo. Flash chromatography on silicagel using 35-50% ethyl acetate in hexane yielded the title compound (8.05 g, 52%). Examples 7-9were prepared in an analogous method to the procedure given in Example 6. N-Hydroxy-benzamidine.N-hydroxy-benzamidine (4.83 g, 91%, white solid) was obtained from benzonitrile (4 g, 38.9 mmol),hydroxylamine hydrochloride (8.89 ml, 44.0 mmol) and sodium hydroxide (4.49 ml, 45.0 mmol) inethanol (30 ml). 1H NMR (CDCl3), δ (ppm): 8.81 (broad peak, 1H), 7.63 (m, 2H), 7.39(m, 3H), 4.91 (s,2H).CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.11. Single Step91%OverviewSteps/Stages Notes1.1 R:NaOH, R:H2NOH-HCl, S:H2O, S:EtOH, 12 h, 80°C literature preparation, Reactants: 1, Reagents:2, Solvents: 2, Steps: 1, Stages: 1, Moststages in any one step: 1ReferencesPreparation of five-membered heterocycliccompounds as mGluR5 receptor antagonistsBy Wensbo, David et alFrom PCT Int. Appl., 2004014881, 19 Feb2004CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.12. Single Step85%OverviewSteps/Stages Notes1.1 R:Et3N, R:H2NOH-HCl, S:EtOH, 18 h, reflux stereoselective (Z), Reactants: 1, Reagents: 2,Solvents: 1, Steps: 1, Stages: 1, Most stagesin any one step: 1ReferencesUnexpected C-C Bond Cleavage: Synthesisof 1,2,4-Oxadiazol-5-ones from Amidoximeswith Pentafluorophenyl or TrifluoromethylAnion Acting as Leaving GroupBy Gerfaud, Thibaud et alFrom Organic Letters, 13(23), 6172-6175;2011CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.13. Single Step85%OverviewSteps/Stages Notes1.1 R:Disodium carbonate, R:H2NOH-HCl, S:H2O, S:EtOH, 15 min,55°Cultrasound (40kHz), reaction withoutultrasound at room temperature decreasedyield and increased reaction time, Reactants:1, Reagents: 2, Solvents: 2, Steps: 1, Stages:1, Most stages in any one step: 1ReferencesSynthesis of amidoximes using an efficientand rapid ultrasound methodBy Barros, Carlos Jonnatan Pimentel et alFrom Journal of the Chilean ChemicalSociety, 56(2), 721-722; 2011CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.14. Single Step83%OverviewSteps/Stages Notes1.1 R:NaHCO3, R:H2NOH-HCl, S:H2O, S:EtOH, 4 h, 80°C Reactants: 1, Reagents: 2, Solvents: 2, Steps:1, Stages: 1, Most stages in any one step: 1ReferencesA novel bifunctional chelating agent based onbis(hydroxamamide) for 99mTc labeling ofpolypeptidesBy Ono, Masahiro et alFrom Journal of Labelled Compounds andRadiopharmaceuticals, 55(2), 71-79; 2012 CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.15. Single Step80%OverviewSteps/Stages Notes1.1 R:NaHCO3, R:H2NOH-HCl, S:H2O, 10 min, 25°C1.2 S:EtOH, 20 h, 25°C1.3 R:H2NOH-HCl, 50 h, 25°Cregioselective, other product also detected, in-situ generated reagent, Reactants: 1,Reagents: 2, Solvents: 2, Steps: 1, Stages: 3,Most stages in any one step: 3ReferencesSynthesis, mechanism of formation, andmolecular orbital calculations ofarylamidoximesBy Srivastava, Rajendra M. et alFrom Monatshefte fuer Chemie, 140(11),1319-1324; 2009CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.16. Single Step79%OverviewSteps/Stages Notes1.1 R:Disodium carbonate, R:H2NOH-HCl, S:H2O, S:EtOH Reactants: 1, Reagents: 2, Solvents: 2, Steps:1, Stages: 1, Most stages in any one step: 1ReferencesSynthesis of 1,2,4- and 1,3,4-oxadiazolesfrom 1-aryl-5-methyl-1H-1,2,3-triazole-4-carbonyl chloridesBy Obushak, N. D. et alFrom Russian Journal of Organic Chemistry,44(10), 1522-1527; 2008CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.17. Single Step85%OverviewSteps/Stages Notes1.1 R:K2CO3, R:H2NOH-HCl, S:EtOH1.2 R:HCl, S:Et2O, S:H2O1.3 R:NH3, R:NaCl1.4 S:Et2OReactants: 1, Reagents: 5, Solvents: 3, Steps:1, Stages: 4, Most stages in any one step: 4ReferencesModification of the Tiemann rearrangement:One-pot synthesis of N,N-disubstitutedcyanamides from amidoximesBy Bakunov, Stanislav A. et alFrom Synthesis, (8), 1148-1159; 2000 CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.18. Single Step76%OverviewSteps/Stages Notes1.1 R:EtN(Pr-i)2, R:H2NOH-HCl, S:EtOH, 6-12 h, 80°C Reactants: 1, Reagents: 2, Solvents: 1, Steps:1, Stages: 1, Most stages in any one step: 1ReferencesA versatile solid-phase synthesis of 3-aryl-1,2,4-oxadiazolones and analoguesBy Charton, Julie et alFrom Tetrahedron Letters, 48(8), 1479-1483;2007CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.19. Single Step70%OverviewSteps/Stages Notes1.1 R:Disodium carbonate, R:H2NOH-HCl, S:H2O, S:EtOH, 8 h, reflux Reactants: 1, Reagents: 2, Solvents: 2, Steps:1, Stages: 1, Most stages in any one step: 1ReferencesDesign, synthesis, characterization, andantibacterial activity of {5-chloro-2-[(3-substitutedphenyl-1,2,4-oxadiazol-5-yl)-methoxy]-phenyl}-(phenyl)-methanonesBy Rai, Neithnadka Premsai et alFrom European Journal of MedicinalChemistry, 45(6), 2677-2682; 2010 CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.20. Single Step70%OverviewSteps/Stages Notes1.1 R:H2NOH-HCl, R:NaHCO3, S:H2O, S:MeOH, 1 h, rt → 70°C; cooled stereoselective, Reactants: 1, Reagents: 2, Solvents: 2, Steps: 1, Stages: 1, Most stages in any one step: 1ReferencesDiscovery and Optimization of a Novel Series of N-Arylamide Oxadiazoles as Potent, Highly Selective and Orally Bioavailable Cannabinoid Receptor 2 (CB2) AgonistsBy Cheng, Yuan et alFrom Journal of Medicinal Chemistry, 51(16), 5019-5034; 2008Experimental ProcedureN-(9-Ethyl-9H-carbazol-3-yl)-3-(3-phenyl-1,2,4-oxadiazol-5-yl) propanamide (37). To a mixture ofsodium carbonate (1.0 g, 10 mmol) and hydroxylamine hydrochloride (1.0 g, 19 mmol) inmethanol/H2O was added benzonitrile (2 mL, 19 mmol). The mixture was heated to 70 °C for 1 h. Thecooled reaction mixture was concentrated, and the residue was taken up in dichloromethane. Theorganic layer was washed with water and concentrated to give (Z)-N'-hydroxybenzamidine (1.85 g,70% yield), which was used without further purification.CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.21. Single Step75%OverviewSteps/Stages Notes1.1 R:H2NOH-HCl, R:Disodium carbonate, S:MeOH Reactants: 1, Reagents: 2, Solvents: 1, Steps:1, Stages: 1, Most stages in any one step: 1ReferencesN-Aryl N'-Hydroxyguanidines, A New Class ofNO-Donors after Selective Oxidation by NitricOxide Synthases: Structure-ActivityRelationshipBy Renodon-Corniere, Axelle et alFrom Journal of Medicinal Chemistry, 45(4),944-954; 2002Experimental ProcedureBenzamidoximes 30-32 were prepared by refluxing anhydrous methanolic solutions of hydroxylaminehydrochloride with the corresponding nitrile in the presence of sodium carbonate as previouslydescribed.57Benzamidoxime (30). Compound 30 was obtained as a white solid in 75% yield frombenzonitrile mp 76 °C (literature: 76 °C).57CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.22. Single Step70%OverviewSteps/Stages Notes1.1 R:KOH, R:H2NOH-HCl, S:MeOH, 3-6 h, 6°C in-situ generated reagent, Reactants: 1,Reagents: 2, Solvents: 1, Steps: 1, Stages: 1,Most stages in any one step: 1ReferencesHCV NS5b RNA-Dependent RNAPolymerase Inhibitors: From α,γ-Diketoacidsto 4,5-Dihydroxypyrimidine- or 3-Methyl-5-hydroxypyrimidinonecarboxylic Acids. Designand SynthesisBy Summa, Vincenzo et alFrom Journal of Medicinal Chemistry, 47(22),5336-5339; 2004Experimental ProcedureN'-hydroxybenzenecarboximidamide (12), 3-(benzyloxy)-N'-hydroxybenzenecarboximidamide (13), N'-hydroxy-3-[(4-methoxybenzyl)oxy]benzenecarboximidamide were prepared from the correspondingnitriles by use of known procedures. Generally, one equiv of potassium hydroxide dissolved inmethanol was added to a solution of hydroxylamine hydrochloride (1 equiv) in methanol. Theprecipitated potassium chloride was removed by filtration and to the above solution the appropriate arylnitrile was added. Reaction mixture was stirred at 60°C for the appropriate time (3-6 h, TLCmonitoring). After cooling, the solvent was removed under vacuum, and the residue was triturated withdiethyl ether. The precipitate was collected and eventually recristallyzed from an appropriate solvent,furnishing the desired amidoxime in 60-70 % yield. N'-hydroxybenzenecarboximidamide (12): spectraldata matches literature data.3CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.23. Single Step65%OverviewSteps/Stages Notes1.1 R:K2CO3, R:H2NOH-HCl, S:EtOH, 1 h, rt; 6 h, reflux Reactants: 1, Reagents: 2, Solvents: 1, Steps:1, Stages: 1, Most stages in any one step: 1ReferencesAcetic acid aldose reductase inhibitorsbearing a five-membered heterocyclic corewith potent topical activity in a visualimpairment rat modelBy La Motta, Concettina et alFrom Journal of Medicinal Chemistry, 51(11),3182-3193; 2008Experimental ProcedureGeneral Procedure for the Synthesis of N-Hydroxybenzimidamides3a-i and N-Hydroxy-2-phenylacetimidamides 4a-i. A solution of the appropriate nitrile 1a-i or 2a-i (1.00 mmol), hydroxylaminehydrochloride (1.35 mmol), and potassium carbonate (1.00 mmol) in ethanol was left under stirring atroom temperature for 1 h, then heated under reflux until the disappearance of the starting materials (6h, TLC analysis). After cooling, the resulting mixture was filtered and the solvent was evaporated todryness under reduced pressure to give the target compound as a white solid, which was purified byrecrystallization (Supporting Information, Tables 1 and 2).CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.24. Single Step60%OverviewSteps/Stages Notes1.1 R:Et3N, R:H2NOH-HCl, S:EtOH, rt → reflux; 24 h, reflux Reactants: 1, Reagents: 2, Solvents: 1, Steps:1, Stages: 1, Most stages in any one step: 1ReferencesSynthesis and cannabinoid activity of 1-substituted-indole-3-oxadiazole derivatives:Novel agonists for the CB1 receptorBy Moloney, Gerard P. et alFrom European Journal of MedicinalChemistry, 43(3), 513-539; 2008 CASREACT ®: Copyright © 2012 American Chemical Society. All Rights Reserved. CASREACT contains reactions from CAS and from: ZIC/VINITI database (1974-1999) provided by InfoChem; INPI data prior to 1986; Biotransformations database compiled under the direction of Professor Dr. Klaus Kieslich; organic reactions, portions copyright 1996-2006 John Wiley & Sons, Ltd., John Wiley and Sons, Inc., Organic Reactions Inc., and Organic Syntheses Inc. Reproduced under license. All Rights Reserved.25. Single Step60%Overview。
3GPP TS 36.331 V13.2.0 (2016-06)
3GPP TS 36.331 V13.2.0 (2016-06)Technical Specification3rd Generation Partnership Project;Technical Specification Group Radio Access Network;Evolved Universal Terrestrial Radio Access (E-UTRA);Radio Resource Control (RRC);Protocol specification(Release 13)The present document has been developed within the 3rd Generation Partnership Project (3GPP TM) and may be further elaborated for the purposes of 3GPP. The present document has not been subject to any approval process by the 3GPP Organizational Partners and shall not be implemented.This Specification is provided for future development work within 3GPP only. The Organizational Partners accept no liability for any use of this Specification. Specifications and reports for implementation of the 3GPP TM system should be obtained via the 3GPP Organizational Partners' Publications Offices.KeywordsUMTS, radio3GPPPostal address3GPP support office address650 Route des Lucioles - Sophia AntipolisValbonne - FRANCETel.: +33 4 92 94 42 00 Fax: +33 4 93 65 47 16InternetCopyright NotificationNo part may be reproduced except as authorized by written permission.The copyright and the foregoing restriction extend to reproduction in all media.© 2016, 3GPP Organizational Partners (ARIB, ATIS, CCSA, ETSI, TSDSI, TTA, TTC).All rights reserved.UMTS™ is a Trade Mark of ETSI registered for the benefit of its members3GPP™ is a Trade Mark of ETSI registered for the benefit of its Members and of the 3GPP Organizational PartnersLTE™ is a Trade Mark of ETSI currently being registered for the benefit of its Members and of the 3GPP Organizational Partners GSM® and the GSM logo are registered and owned by the GSM AssociationBluetooth® is a Trade Mark of the Bluetooth SIG registered for the benefit of its membersContentsForeword (18)1Scope (19)2References (19)3Definitions, symbols and abbreviations (22)3.1Definitions (22)3.2Abbreviations (24)4General (27)4.1Introduction (27)4.2Architecture (28)4.2.1UE states and state transitions including inter RAT (28)4.2.2Signalling radio bearers (29)4.3Services (30)4.3.1Services provided to upper layers (30)4.3.2Services expected from lower layers (30)4.4Functions (30)5Procedures (32)5.1General (32)5.1.1Introduction (32)5.1.2General requirements (32)5.2System information (33)5.2.1Introduction (33)5.2.1.1General (33)5.2.1.2Scheduling (34)5.2.1.2a Scheduling for NB-IoT (34)5.2.1.3System information validity and notification of changes (35)5.2.1.4Indication of ETWS notification (36)5.2.1.5Indication of CMAS notification (37)5.2.1.6Notification of EAB parameters change (37)5.2.1.7Access Barring parameters change in NB-IoT (37)5.2.2System information acquisition (38)5.2.2.1General (38)5.2.2.2Initiation (38)5.2.2.3System information required by the UE (38)5.2.2.4System information acquisition by the UE (39)5.2.2.5Essential system information missing (42)5.2.2.6Actions upon reception of the MasterInformationBlock message (42)5.2.2.7Actions upon reception of the SystemInformationBlockType1 message (42)5.2.2.8Actions upon reception of SystemInformation messages (44)5.2.2.9Actions upon reception of SystemInformationBlockType2 (44)5.2.2.10Actions upon reception of SystemInformationBlockType3 (45)5.2.2.11Actions upon reception of SystemInformationBlockType4 (45)5.2.2.12Actions upon reception of SystemInformationBlockType5 (45)5.2.2.13Actions upon reception of SystemInformationBlockType6 (45)5.2.2.14Actions upon reception of SystemInformationBlockType7 (45)5.2.2.15Actions upon reception of SystemInformationBlockType8 (45)5.2.2.16Actions upon reception of SystemInformationBlockType9 (46)5.2.2.17Actions upon reception of SystemInformationBlockType10 (46)5.2.2.18Actions upon reception of SystemInformationBlockType11 (46)5.2.2.19Actions upon reception of SystemInformationBlockType12 (47)5.2.2.20Actions upon reception of SystemInformationBlockType13 (48)5.2.2.21Actions upon reception of SystemInformationBlockType14 (48)5.2.2.22Actions upon reception of SystemInformationBlockType15 (48)5.2.2.23Actions upon reception of SystemInformationBlockType16 (48)5.2.2.24Actions upon reception of SystemInformationBlockType17 (48)5.2.2.25Actions upon reception of SystemInformationBlockType18 (48)5.2.2.26Actions upon reception of SystemInformationBlockType19 (49)5.2.3Acquisition of an SI message (49)5.2.3a Acquisition of an SI message by BL UE or UE in CE or a NB-IoT UE (50)5.3Connection control (50)5.3.1Introduction (50)5.3.1.1RRC connection control (50)5.3.1.2Security (52)5.3.1.2a RN security (53)5.3.1.3Connected mode mobility (53)5.3.1.4Connection control in NB-IoT (54)5.3.2Paging (55)5.3.2.1General (55)5.3.2.2Initiation (55)5.3.2.3Reception of the Paging message by the UE (55)5.3.3RRC connection establishment (56)5.3.3.1General (56)5.3.3.1a Conditions for establishing RRC Connection for sidelink communication/ discovery (58)5.3.3.2Initiation (59)5.3.3.3Actions related to transmission of RRCConnectionRequest message (63)5.3.3.3a Actions related to transmission of RRCConnectionResumeRequest message (64)5.3.3.4Reception of the RRCConnectionSetup by the UE (64)5.3.3.4a Reception of the RRCConnectionResume by the UE (66)5.3.3.5Cell re-selection while T300, T302, T303, T305, T306, or T308 is running (68)5.3.3.6T300 expiry (68)5.3.3.7T302, T303, T305, T306, or T308 expiry or stop (69)5.3.3.8Reception of the RRCConnectionReject by the UE (70)5.3.3.9Abortion of RRC connection establishment (71)5.3.3.10Handling of SSAC related parameters (71)5.3.3.11Access barring check (72)5.3.3.12EAB check (73)5.3.3.13Access barring check for ACDC (73)5.3.3.14Access Barring check for NB-IoT (74)5.3.4Initial security activation (75)5.3.4.1General (75)5.3.4.2Initiation (76)5.3.4.3Reception of the SecurityModeCommand by the UE (76)5.3.5RRC connection reconfiguration (77)5.3.5.1General (77)5.3.5.2Initiation (77)5.3.5.3Reception of an RRCConnectionReconfiguration not including the mobilityControlInfo by theUE (77)5.3.5.4Reception of an RRCConnectionReconfiguration including the mobilityControlInfo by the UE(handover) (79)5.3.5.5Reconfiguration failure (83)5.3.5.6T304 expiry (handover failure) (83)5.3.5.7Void (84)5.3.5.7a T307 expiry (SCG change failure) (84)5.3.5.8Radio Configuration involving full configuration option (84)5.3.6Counter check (86)5.3.6.1General (86)5.3.6.2Initiation (86)5.3.6.3Reception of the CounterCheck message by the UE (86)5.3.7RRC connection re-establishment (87)5.3.7.1General (87)5.3.7.2Initiation (87)5.3.7.3Actions following cell selection while T311 is running (88)5.3.7.4Actions related to transmission of RRCConnectionReestablishmentRequest message (89)5.3.7.5Reception of the RRCConnectionReestablishment by the UE (89)5.3.7.6T311 expiry (91)5.3.7.7T301 expiry or selected cell no longer suitable (91)5.3.7.8Reception of RRCConnectionReestablishmentReject by the UE (91)5.3.8RRC connection release (92)5.3.8.1General (92)5.3.8.2Initiation (92)5.3.8.3Reception of the RRCConnectionRelease by the UE (92)5.3.8.4T320 expiry (93)5.3.9RRC connection release requested by upper layers (93)5.3.9.1General (93)5.3.9.2Initiation (93)5.3.10Radio resource configuration (93)5.3.10.0General (93)5.3.10.1SRB addition/ modification (94)5.3.10.2DRB release (95)5.3.10.3DRB addition/ modification (95)5.3.10.3a1DC specific DRB addition or reconfiguration (96)5.3.10.3a2LWA specific DRB addition or reconfiguration (98)5.3.10.3a3LWIP specific DRB addition or reconfiguration (98)5.3.10.3a SCell release (99)5.3.10.3b SCell addition/ modification (99)5.3.10.3c PSCell addition or modification (99)5.3.10.4MAC main reconfiguration (99)5.3.10.5Semi-persistent scheduling reconfiguration (100)5.3.10.6Physical channel reconfiguration (100)5.3.10.7Radio Link Failure Timers and Constants reconfiguration (101)5.3.10.8Time domain measurement resource restriction for serving cell (101)5.3.10.9Other configuration (102)5.3.10.10SCG reconfiguration (103)5.3.10.11SCG dedicated resource configuration (104)5.3.10.12Reconfiguration SCG or split DRB by drb-ToAddModList (105)5.3.10.13Neighbour cell information reconfiguration (105)5.3.10.14Void (105)5.3.10.15Sidelink dedicated configuration (105)5.3.10.16T370 expiry (106)5.3.11Radio link failure related actions (107)5.3.11.1Detection of physical layer problems in RRC_CONNECTED (107)5.3.11.2Recovery of physical layer problems (107)5.3.11.3Detection of radio link failure (107)5.3.12UE actions upon leaving RRC_CONNECTED (109)5.3.13UE actions upon PUCCH/ SRS release request (110)5.3.14Proximity indication (110)5.3.14.1General (110)5.3.14.2Initiation (111)5.3.14.3Actions related to transmission of ProximityIndication message (111)5.3.15Void (111)5.4Inter-RAT mobility (111)5.4.1Introduction (111)5.4.2Handover to E-UTRA (112)5.4.2.1General (112)5.4.2.2Initiation (112)5.4.2.3Reception of the RRCConnectionReconfiguration by the UE (112)5.4.2.4Reconfiguration failure (114)5.4.2.5T304 expiry (handover to E-UTRA failure) (114)5.4.3Mobility from E-UTRA (114)5.4.3.1General (114)5.4.3.2Initiation (115)5.4.3.3Reception of the MobilityFromEUTRACommand by the UE (115)5.4.3.4Successful completion of the mobility from E-UTRA (116)5.4.3.5Mobility from E-UTRA failure (117)5.4.4Handover from E-UTRA preparation request (CDMA2000) (117)5.4.4.1General (117)5.4.4.2Initiation (118)5.4.4.3Reception of the HandoverFromEUTRAPreparationRequest by the UE (118)5.4.5UL handover preparation transfer (CDMA2000) (118)5.4.5.1General (118)5.4.5.2Initiation (118)5.4.5.3Actions related to transmission of the ULHandoverPreparationTransfer message (119)5.4.5.4Failure to deliver the ULHandoverPreparationTransfer message (119)5.4.6Inter-RAT cell change order to E-UTRAN (119)5.4.6.1General (119)5.4.6.2Initiation (119)5.4.6.3UE fails to complete an inter-RAT cell change order (119)5.5Measurements (120)5.5.1Introduction (120)5.5.2Measurement configuration (121)5.5.2.1General (121)5.5.2.2Measurement identity removal (122)5.5.2.2a Measurement identity autonomous removal (122)5.5.2.3Measurement identity addition/ modification (123)5.5.2.4Measurement object removal (124)5.5.2.5Measurement object addition/ modification (124)5.5.2.6Reporting configuration removal (126)5.5.2.7Reporting configuration addition/ modification (127)5.5.2.8Quantity configuration (127)5.5.2.9Measurement gap configuration (127)5.5.2.10Discovery signals measurement timing configuration (128)5.5.2.11RSSI measurement timing configuration (128)5.5.3Performing measurements (128)5.5.3.1General (128)5.5.3.2Layer 3 filtering (131)5.5.4Measurement report triggering (131)5.5.4.1General (131)5.5.4.2Event A1 (Serving becomes better than threshold) (135)5.5.4.3Event A2 (Serving becomes worse than threshold) (136)5.5.4.4Event A3 (Neighbour becomes offset better than PCell/ PSCell) (136)5.5.4.5Event A4 (Neighbour becomes better than threshold) (137)5.5.4.6Event A5 (PCell/ PSCell becomes worse than threshold1 and neighbour becomes better thanthreshold2) (138)5.5.4.6a Event A6 (Neighbour becomes offset better than SCell) (139)5.5.4.7Event B1 (Inter RAT neighbour becomes better than threshold) (139)5.5.4.8Event B2 (PCell becomes worse than threshold1 and inter RAT neighbour becomes better thanthreshold2) (140)5.5.4.9Event C1 (CSI-RS resource becomes better than threshold) (141)5.5.4.10Event C2 (CSI-RS resource becomes offset better than reference CSI-RS resource) (141)5.5.4.11Event W1 (WLAN becomes better than a threshold) (142)5.5.4.12Event W2 (All WLAN inside WLAN mobility set becomes worse than threshold1 and a WLANoutside WLAN mobility set becomes better than threshold2) (142)5.5.4.13Event W3 (All WLAN inside WLAN mobility set becomes worse than a threshold) (143)5.5.5Measurement reporting (144)5.5.6Measurement related actions (148)5.5.6.1Actions upon handover and re-establishment (148)5.5.6.2Speed dependant scaling of measurement related parameters (149)5.5.7Inter-frequency RSTD measurement indication (149)5.5.7.1General (149)5.5.7.2Initiation (150)5.5.7.3Actions related to transmission of InterFreqRSTDMeasurementIndication message (150)5.6Other (150)5.6.0General (150)5.6.1DL information transfer (151)5.6.1.1General (151)5.6.1.2Initiation (151)5.6.1.3Reception of the DLInformationTransfer by the UE (151)5.6.2UL information transfer (151)5.6.2.1General (151)5.6.2.2Initiation (151)5.6.2.3Actions related to transmission of ULInformationTransfer message (152)5.6.2.4Failure to deliver ULInformationTransfer message (152)5.6.3UE capability transfer (152)5.6.3.1General (152)5.6.3.2Initiation (153)5.6.3.3Reception of the UECapabilityEnquiry by the UE (153)5.6.4CSFB to 1x Parameter transfer (157)5.6.4.1General (157)5.6.4.2Initiation (157)5.6.4.3Actions related to transmission of CSFBParametersRequestCDMA2000 message (157)5.6.4.4Reception of the CSFBParametersResponseCDMA2000 message (157)5.6.5UE Information (158)5.6.5.1General (158)5.6.5.2Initiation (158)5.6.5.3Reception of the UEInformationRequest message (158)5.6.6 Logged Measurement Configuration (159)5.6.6.1General (159)5.6.6.2Initiation (160)5.6.6.3Reception of the LoggedMeasurementConfiguration by the UE (160)5.6.6.4T330 expiry (160)5.6.7 Release of Logged Measurement Configuration (160)5.6.7.1General (160)5.6.7.2Initiation (160)5.6.8 Measurements logging (161)5.6.8.1General (161)5.6.8.2Initiation (161)5.6.9In-device coexistence indication (163)5.6.9.1General (163)5.6.9.2Initiation (164)5.6.9.3Actions related to transmission of InDeviceCoexIndication message (164)5.6.10UE Assistance Information (165)5.6.10.1General (165)5.6.10.2Initiation (166)5.6.10.3Actions related to transmission of UEAssistanceInformation message (166)5.6.11 Mobility history information (166)5.6.11.1General (166)5.6.11.2Initiation (166)5.6.12RAN-assisted WLAN interworking (167)5.6.12.1General (167)5.6.12.2Dedicated WLAN offload configuration (167)5.6.12.3WLAN offload RAN evaluation (167)5.6.12.4T350 expiry or stop (167)5.6.12.5Cell selection/ re-selection while T350 is running (168)5.6.13SCG failure information (168)5.6.13.1General (168)5.6.13.2Initiation (168)5.6.13.3Actions related to transmission of SCGFailureInformation message (168)5.6.14LTE-WLAN Aggregation (169)5.6.14.1Introduction (169)5.6.14.2Reception of LWA configuration (169)5.6.14.3Release of LWA configuration (170)5.6.15WLAN connection management (170)5.6.15.1Introduction (170)5.6.15.2WLAN connection status reporting (170)5.6.15.2.1General (170)5.6.15.2.2Initiation (171)5.6.15.2.3Actions related to transmission of WLANConnectionStatusReport message (171)5.6.15.3T351 Expiry (WLAN connection attempt timeout) (171)5.6.15.4WLAN status monitoring (171)5.6.16RAN controlled LTE-WLAN interworking (172)5.6.16.1General (172)5.6.16.2WLAN traffic steering command (172)5.6.17LTE-WLAN aggregation with IPsec tunnel (173)5.6.17.1General (173)5.7Generic error handling (174)5.7.1General (174)5.7.2ASN.1 violation or encoding error (174)5.7.3Field set to a not comprehended value (174)5.7.4Mandatory field missing (174)5.7.5Not comprehended field (176)5.8MBMS (176)5.8.1Introduction (176)5.8.1.1General (176)5.8.1.2Scheduling (176)5.8.1.3MCCH information validity and notification of changes (176)5.8.2MCCH information acquisition (178)5.8.2.1General (178)5.8.2.2Initiation (178)5.8.2.3MCCH information acquisition by the UE (178)5.8.2.4Actions upon reception of the MBSFNAreaConfiguration message (178)5.8.2.5Actions upon reception of the MBMSCountingRequest message (179)5.8.3MBMS PTM radio bearer configuration (179)5.8.3.1General (179)5.8.3.2Initiation (179)5.8.3.3MRB establishment (179)5.8.3.4MRB release (179)5.8.4MBMS Counting Procedure (179)5.8.4.1General (179)5.8.4.2Initiation (180)5.8.4.3Reception of the MBMSCountingRequest message by the UE (180)5.8.5MBMS interest indication (181)5.8.5.1General (181)5.8.5.2Initiation (181)5.8.5.3Determine MBMS frequencies of interest (182)5.8.5.4Actions related to transmission of MBMSInterestIndication message (183)5.8a SC-PTM (183)5.8a.1Introduction (183)5.8a.1.1General (183)5.8a.1.2SC-MCCH scheduling (183)5.8a.1.3SC-MCCH information validity and notification of changes (183)5.8a.1.4Procedures (184)5.8a.2SC-MCCH information acquisition (184)5.8a.2.1General (184)5.8a.2.2Initiation (184)5.8a.2.3SC-MCCH information acquisition by the UE (184)5.8a.2.4Actions upon reception of the SCPTMConfiguration message (185)5.8a.3SC-PTM radio bearer configuration (185)5.8a.3.1General (185)5.8a.3.2Initiation (185)5.8a.3.3SC-MRB establishment (185)5.8a.3.4SC-MRB release (185)5.9RN procedures (186)5.9.1RN reconfiguration (186)5.9.1.1General (186)5.9.1.2Initiation (186)5.9.1.3Reception of the RNReconfiguration by the RN (186)5.10Sidelink (186)5.10.1Introduction (186)5.10.1a Conditions for sidelink communication operation (187)5.10.2Sidelink UE information (188)5.10.2.1General (188)5.10.2.2Initiation (189)5.10.2.3Actions related to transmission of SidelinkUEInformation message (193)5.10.3Sidelink communication monitoring (195)5.10.6Sidelink discovery announcement (198)5.10.6a Sidelink discovery announcement pool selection (201)5.10.6b Sidelink discovery announcement reference carrier selection (201)5.10.7Sidelink synchronisation information transmission (202)5.10.7.1General (202)5.10.7.2Initiation (203)5.10.7.3Transmission of SLSS (204)5.10.7.4Transmission of MasterInformationBlock-SL message (205)5.10.7.5Void (206)5.10.8Sidelink synchronisation reference (206)5.10.8.1General (206)5.10.8.2Selection and reselection of synchronisation reference UE (SyncRef UE) (206)5.10.9Sidelink common control information (207)5.10.9.1General (207)5.10.9.2Actions related to reception of MasterInformationBlock-SL message (207)5.10.10Sidelink relay UE operation (207)5.10.10.1General (207)5.10.10.2AS-conditions for relay related sidelink communication transmission by sidelink relay UE (207)5.10.10.3AS-conditions for relay PS related sidelink discovery transmission by sidelink relay UE (208)5.10.10.4Sidelink relay UE threshold conditions (208)5.10.11Sidelink remote UE operation (208)5.10.11.1General (208)5.10.11.2AS-conditions for relay related sidelink communication transmission by sidelink remote UE (208)5.10.11.3AS-conditions for relay PS related sidelink discovery transmission by sidelink remote UE (209)5.10.11.4Selection and reselection of sidelink relay UE (209)5.10.11.5Sidelink remote UE threshold conditions (210)6Protocol data units, formats and parameters (tabular & ASN.1) (210)6.1General (210)6.2RRC messages (212)6.2.1General message structure (212)–EUTRA-RRC-Definitions (212)–BCCH-BCH-Message (212)–BCCH-DL-SCH-Message (212)–BCCH-DL-SCH-Message-BR (213)–MCCH-Message (213)–PCCH-Message (213)–DL-CCCH-Message (214)–DL-DCCH-Message (214)–UL-CCCH-Message (214)–UL-DCCH-Message (215)–SC-MCCH-Message (215)6.2.2Message definitions (216)–CounterCheck (216)–CounterCheckResponse (217)–CSFBParametersRequestCDMA2000 (217)–CSFBParametersResponseCDMA2000 (218)–DLInformationTransfer (218)–HandoverFromEUTRAPreparationRequest (CDMA2000) (219)–InDeviceCoexIndication (220)–InterFreqRSTDMeasurementIndication (222)–LoggedMeasurementConfiguration (223)–MasterInformationBlock (225)–MBMSCountingRequest (226)–MBMSCountingResponse (226)–MBMSInterestIndication (227)–MBSFNAreaConfiguration (228)–MeasurementReport (228)–MobilityFromEUTRACommand (229)–Paging (232)–ProximityIndication (233)–RNReconfiguration (234)–RNReconfigurationComplete (234)–RRCConnectionReconfiguration (235)–RRCConnectionReconfigurationComplete (240)–RRCConnectionReestablishment (241)–RRCConnectionReestablishmentComplete (241)–RRCConnectionReestablishmentReject (242)–RRCConnectionReestablishmentRequest (243)–RRCConnectionReject (243)–RRCConnectionRelease (244)–RRCConnectionResume (248)–RRCConnectionResumeComplete (249)–RRCConnectionResumeRequest (250)–RRCConnectionRequest (250)–RRCConnectionSetup (251)–RRCConnectionSetupComplete (252)–SCGFailureInformation (253)–SCPTMConfiguration (254)–SecurityModeCommand (255)–SecurityModeComplete (255)–SecurityModeFailure (256)–SidelinkUEInformation (256)–SystemInformation (258)–SystemInformationBlockType1 (259)–UEAssistanceInformation (264)–UECapabilityEnquiry (265)–UECapabilityInformation (266)–UEInformationRequest (267)–UEInformationResponse (267)–ULHandoverPreparationTransfer (CDMA2000) (273)–ULInformationTransfer (274)–WLANConnectionStatusReport (274)6.3RRC information elements (275)6.3.1System information blocks (275)–SystemInformationBlockType2 (275)–SystemInformationBlockType3 (279)–SystemInformationBlockType4 (282)–SystemInformationBlockType5 (283)–SystemInformationBlockType6 (287)–SystemInformationBlockType7 (289)–SystemInformationBlockType8 (290)–SystemInformationBlockType9 (295)–SystemInformationBlockType10 (295)–SystemInformationBlockType11 (296)–SystemInformationBlockType12 (297)–SystemInformationBlockType13 (297)–SystemInformationBlockType14 (298)–SystemInformationBlockType15 (298)–SystemInformationBlockType16 (299)–SystemInformationBlockType17 (300)–SystemInformationBlockType18 (301)–SystemInformationBlockType19 (301)–SystemInformationBlockType20 (304)6.3.2Radio resource control information elements (304)–AntennaInfo (304)–AntennaInfoUL (306)–CQI-ReportConfig (307)–CQI-ReportPeriodicProcExtId (314)–CrossCarrierSchedulingConfig (314)–CSI-IM-Config (315)–CSI-IM-ConfigId (315)–CSI-RS-Config (317)–CSI-RS-ConfigEMIMO (318)–CSI-RS-ConfigNZP (319)–CSI-RS-ConfigNZPId (320)–CSI-RS-ConfigZP (321)–CSI-RS-ConfigZPId (321)–DMRS-Config (321)–DRB-Identity (322)–EPDCCH-Config (322)–EIMTA-MainConfig (324)–LogicalChannelConfig (325)–LWA-Configuration (326)–LWIP-Configuration (326)–RCLWI-Configuration (327)–MAC-MainConfig (327)–P-C-AndCBSR (332)–PDCCH-ConfigSCell (333)–PDCP-Config (334)–PDSCH-Config (337)–PDSCH-RE-MappingQCL-ConfigId (339)–PHICH-Config (339)–PhysicalConfigDedicated (339)–P-Max (344)–PRACH-Config (344)–PresenceAntennaPort1 (346)–PUCCH-Config (347)–PUSCH-Config (351)–RACH-ConfigCommon (355)–RACH-ConfigDedicated (357)–RadioResourceConfigCommon (358)–RadioResourceConfigDedicated (362)–RLC-Config (367)–RLF-TimersAndConstants (369)–RN-SubframeConfig (370)–SchedulingRequestConfig (371)–SoundingRS-UL-Config (372)–SPS-Config (375)–TDD-Config (376)–TimeAlignmentTimer (377)–TPC-PDCCH-Config (377)–TunnelConfigLWIP (378)–UplinkPowerControl (379)–WLAN-Id-List (382)–WLAN-MobilityConfig (382)6.3.3Security control information elements (382)–NextHopChainingCount (382)–SecurityAlgorithmConfig (383)–ShortMAC-I (383)6.3.4Mobility control information elements (383)–AdditionalSpectrumEmission (383)–ARFCN-ValueCDMA2000 (383)–ARFCN-ValueEUTRA (384)–ARFCN-ValueGERAN (384)–ARFCN-ValueUTRA (384)–BandclassCDMA2000 (384)–BandIndicatorGERAN (385)–CarrierFreqCDMA2000 (385)–CarrierFreqGERAN (385)–CellIndexList (387)–CellReselectionPriority (387)–CellSelectionInfoCE (387)–CellReselectionSubPriority (388)–CSFB-RegistrationParam1XRTT (388)–CellGlobalIdEUTRA (389)–CellGlobalIdUTRA (389)–CellGlobalIdGERAN (390)–CellGlobalIdCDMA2000 (390)–CellSelectionInfoNFreq (391)–CSG-Identity (391)–FreqBandIndicator (391)–MobilityControlInfo (391)–MobilityParametersCDMA2000 (1xRTT) (393)–MobilityStateParameters (394)–MultiBandInfoList (394)–NS-PmaxList (394)–PhysCellId (395)–PhysCellIdRange (395)–PhysCellIdRangeUTRA-FDDList (395)–PhysCellIdCDMA2000 (396)–PhysCellIdGERAN (396)–PhysCellIdUTRA-FDD (396)–PhysCellIdUTRA-TDD (396)–PLMN-Identity (397)–PLMN-IdentityList3 (397)–PreRegistrationInfoHRPD (397)–Q-QualMin (398)–Q-RxLevMin (398)–Q-OffsetRange (398)–Q-OffsetRangeInterRAT (399)–ReselectionThreshold (399)–ReselectionThresholdQ (399)–SCellIndex (399)–ServCellIndex (400)–SpeedStateScaleFactors (400)–SystemInfoListGERAN (400)–SystemTimeInfoCDMA2000 (401)–TrackingAreaCode (401)–T-Reselection (402)–T-ReselectionEUTRA-CE (402)6.3.5Measurement information elements (402)–AllowedMeasBandwidth (402)–CSI-RSRP-Range (402)–Hysteresis (402)–LocationInfo (403)–MBSFN-RSRQ-Range (403)–MeasConfig (404)–MeasDS-Config (405)–MeasGapConfig (406)–MeasId (407)–MeasIdToAddModList (407)–MeasObjectCDMA2000 (408)–MeasObjectEUTRA (408)–MeasObjectGERAN (412)–MeasObjectId (412)–MeasObjectToAddModList (412)–MeasObjectUTRA (413)–ReportConfigEUTRA (422)–ReportConfigId (425)–ReportConfigInterRAT (425)–ReportConfigToAddModList (428)–ReportInterval (429)–RSRP-Range (429)–RSRQ-Range (430)–RSRQ-Type (430)–RS-SINR-Range (430)–RSSI-Range-r13 (431)–TimeToTrigger (431)–UL-DelayConfig (431)–WLAN-CarrierInfo (431)–WLAN-RSSI-Range (432)–WLAN-Status (432)6.3.6Other information elements (433)–AbsoluteTimeInfo (433)–AreaConfiguration (433)–C-RNTI (433)–DedicatedInfoCDMA2000 (434)–DedicatedInfoNAS (434)–FilterCoefficient (434)–LoggingDuration (434)–LoggingInterval (435)–MeasSubframePattern (435)–MMEC (435)–NeighCellConfig (435)–OtherConfig (436)–RAND-CDMA2000 (1xRTT) (437)–RAT-Type (437)–ResumeIdentity (437)–RRC-TransactionIdentifier (438)–S-TMSI (438)–TraceReference (438)–UE-CapabilityRAT-ContainerList (438)–UE-EUTRA-Capability (439)–UE-RadioPagingInfo (469)–UE-TimersAndConstants (469)–VisitedCellInfoList (470)–WLAN-OffloadConfig (470)6.3.7MBMS information elements (472)–MBMS-NotificationConfig (472)–MBMS-ServiceList (473)–MBSFN-AreaId (473)–MBSFN-AreaInfoList (473)–MBSFN-SubframeConfig (474)–PMCH-InfoList (475)6.3.7a SC-PTM information elements (476)–SC-MTCH-InfoList (476)–SCPTM-NeighbourCellList (478)6.3.8Sidelink information elements (478)–SL-CommConfig (478)–SL-CommResourcePool (479)–SL-CP-Len (480)–SL-DiscConfig (481)–SL-DiscResourcePool (483)–SL-DiscTxPowerInfo (485)–SL-GapConfig (485)。
临界反应 英语
临界反应英语Critical ReactionIn chemistry, a critical reaction is a term used to describe a reaction that occurs only under specific conditions. These conditions may include temperature, pressure, concentrations of reactants, or the presence of catalysts. The critical reaction is the point at which the reaction rate changes significantly due to a change in one of these critical factors. Understanding critical reactions is essential for predicting and controlling chemical processes.One common example of a critical reaction is the decomposition of hydrogen peroxide. This reaction occurs slowly at room temperature, but when a catalyst, such as manganese dioxide, is added, the reaction speeds up dramatically. The critical factor in this reaction is the presence of the catalyst, which lowers the activation energy required for the reaction to occur. Without the catalyst, the reaction may not occur at all or may proceed at an extremely slow rate.Another example of a critical reaction is the oxidation of iron. Under normal conditions, iron does not react with oxygen in the air. However, if the iron is heated to high temperatures, a criticalreaction occurs, leading to the formation of iron oxide, also known as rust. The critical factor in this reaction is the temperature, as it determines the energy required for the reaction to take place.Understanding critical reactions is crucial in various industries, such as pharmaceuticals, petrochemicals, and materials science. By controlling the critical factors in a reaction, chemists can optimize reaction conditions to maximize the efficiency of a process, reduce waste, and improve product quality. Additionally, studying critical reactions can lead to the development of new catalysts and processes that can revolutionize the way chemicals are produced and used in various applications.In conclusion, critical reactions play a vital role in chemistry by determining the conditions under which a reaction occurs. By understanding and controlling critical factors, chemists can manipulate reactions to achieve desired outcomes and improve the efficiency of chemical processes. As technology advances, the study of critical reactions will continue to be essential in developing new materials, drugs, and technologies that shape our world.。
生物工程专业英语
Cultivation of Escherichia coli XN-1 was carried out in the batch mode. A 5-L jar fermentor with a liquid working volume of 3 L was used for cultivation. The temperature was controlled at 32℃, and the pH was maintained at 7.0 by adding 28% ammonia water.
Unit 7 作业
At the end of cultivation (18 h), a cell density of 1.12 gDCW/l and succinic acid yields yield of 63–64% were obtained. 到发酵结束(18小时),干细胞量可达 到1.12g DCW/L,丁二酸的产率可达63– 64% 。 DCW——Dried Cell Weight
Unit 2 作业
The dissolved oxygen concentration was maintained at above 3.0 mg/L by controlling the agitation speed in the range 180 revolutions per minute (rpm). The aeration rate was maintained at 1.1L air volume per liter liquid volume per minute (vvm). The initial glucose concentration was 20 g/L, and the initial concentration of corn steep liquor was 15 g/L.
提出过程强化的方法
提出过程强化的方法英文回答:Process Intensification Methods.Process intensification (PI) refers to the application of strategies to enhance the efficiency and effectiveness of chemical processes, often by reducing equipment size, energy consumption, and waste generation. Here are some common PI methods:1. Reactive Distillation:Reactive distillation combines chemical reaction and distillation in a single unit, enabling simultaneous product formation and separation. This eliminates the need for separate reactors and distillation columns, reducing costs and improving selectivity.2. Supercritical Fluid Extraction:Supercritical fluid extraction (SFE) utilizes a fluid above its critical temperature and pressure to extract components from a mixture. SFE offers advantages such as high extraction rates, low solvent consumption, and reduced environmental impact.3. Membrane Separations:Membrane separations employ semi-permeable membranes to separate components based on their size, charge, or solubility. Membrane processes include reverse osmosis, nanofiltration, ultrafiltration, and gas separation, offering high selectivity and energy efficiency.4. Crystallization from Melt:Crystallization from melt (CFM) involves cooling a molten material to induce crystallization directly from the melt phase. CFM eliminates the need for solvent addition and reduces energy consumption compared to conventional crystallization methods.5. Microwave Heating:Microwave heating utilizes electromagnetic radiation to rapidly heat materials. This method provides uniform heating, reduces reaction times, and enhances reaction yields.6. High-Gravity Technology:High-gravity technology employs centrifugal force to enhance mass transfer and reaction rates. This technologyis particularly beneficial for processes involving liquid-liquid or gas-liquid systems.7. Ultrasound-Assisted Processes:Ultrasound-assisted processes utilize high-frequency sound waves to promote mixing, cavitation, and mass transfer. These processes can improve reaction rates, enhance extraction efficiency, and reduce energy consumption.8. Microreactors:Microreactors are miniaturized reaction vessels that provide high surface-to-volume ratios and precise temperature control. Microreactors enable rapid reactions, enhance selectivity, and reduce reagent consumption.9. Ionic Liquids:Ionic liquids (ILs) are non-volatile, liquid salts with unique properties such as low vapor pressure, high thermal stability, and adjustable polarity. ILs can be used as solvents, catalysts, or reaction media to improve process efficiency and reduce environmental impact.中文回答:过程强化方法。
chemical-reaction-engineering-3ed-edition作者-octave-Levenspiel-课后习题答案
chemical-reaction-engineeri ng-3ed-edition作者-octave-Levenspiel-课后习题答案Corresponding Solutions for Chemical Reaction EngineeringCHAPTER 1 OVERVIEW OF CHEMICAL REACTION ENGINEERING (1)CHAPTER 2 KINETICS OF HOMOGENEOUS REACTIONS (3)CHAPTER 3 INTERPRETATION OF BATCH REACTOR DATA (7)CHAPTER 4 INTRODUCTION TO REACTOR DESIGN (20)CHAPTER 5 IDEAL REACTOR FOR A SINGLE REACTOR (23)CHAPTER 6 DESIGN FOR SINGLE REACTIONS (27)CHAPTER 10 CHOOSING THE RIGHT KIND OF REACTOR (34)CHAPTER 11 BASICS OF NON-IDEAL FLOW (36)CHAPTER 18 SOLID CATALYZED REACTIONS (45)Chapter 1 Overview of Chemical Reaction Engineering1.1 Municipal waste water treatment plant. Consider a municipal water treatment plant for a small community (Fig.P1.1). Waste water, 32000 m 3/day, flows through the treatment plant with a mean residence time of 8 hr, air is bubbled through the tanks, and microbes in the tank attack and break down the organic material (organic waste) +O 2 −−−→−microbes CO 2 + H 2OA typical entering feed has a BOD (biological oxygen demand) of 200 mg O 2/liter, while the effluent has a megligible BOD. Find the rate of reaction, or decrease in BOD in the treatment tanks.Figure P1.1Solution:)/(1017.2)/(75.183132/100010001)0200()(313200031320001343333s m mol day m mol day molgm L mg g L mg day day m dayday m VdtdN r A A ⋅⨯=⋅=-⨯⨯⨯-⨯-=-=--1.2 Coal burning electrical power station. Large central power stations (about 1000 MW electrical) using fluiding bed combustors may be built some day (see Fig.P1.2). These giants would be fed 240 tons of coal/hr (90% C, 10%H 2), 50% of which would burn within the battery of primary fluidized beds, the other 50% elsewhere in the system. One suggested design would use a battery of 10 fluidized beds, each 20 m long, 4 m wide, and containing solids to a depth of 1 m. Find the rate of reaction within theWaste Waste Clean200 mgMean residenZerobeds, based on the oxygen used.Solution:380010)1420(m V =⨯⨯⨯=)/(9000101089.05.01024033hr bed molc hrkgckgcoal kgc hr coal t N c ⋅-=⨯-=⨯⨯⨯-=∆∆ )/(25.111900080011322hr m kmolO t N V r r c c O ⋅=-⨯-=∆∆-=-=)/(12000412000190002hr bed mol dt dO ⋅=+⨯= )/(17.4800)/(105.113422s m mol hr bed mol dt dO V r O ⋅=⋅⨯==-Chapter 2 Kinetics of Homogeneous Reactions2.1 A reaction has the stoichiometric equation A + B =2R . What is the order of reaction?Solution: Because we don’t know whether it is an elementary reaction or not, we can’t tell the index of the reaction.2.2 Given the reaction 2NO 2 + 1/2 O 2 = N 2O 5 , what is the relation between the ratesof formation and disappearance of the three reaction components? Solution: 522224O N O NO r r r =-=-2.3 A reaction with stoichiometric equation 0.5 A + B = R +0.5 S has the following rateexpression-r A = 2 C 0.5 A C BWhat is the rate expression for this reaction if the stoichiometric equation is written asA + 2B = 2R + SSolution: No change. The stoichiometric equation can’t effect the rate equation, so it doesn’t change.2.4 For the enzyme-substrate reaction of Example 2, the rate of disappearance ofsubstrate is given by-r A =A06]][[1760C E A + , mol/m 3·sWhat are the units of the two constants? Solution: ][]6[]][][[][03A A C E A k s m mol r +=⋅=- 3/][]6[m mol C A ==∴sm mol m mol m mol s m mol k 1)/)(/(/][3333=⋅⋅=2.5 For the complex reaction with stoichiometry A + 3B → 2R + S and withsecond-order rate expression-r A = k 1[A][B]are the reaction rates related as follows: r A = r B = r R ? If the rates are not so related, then how are they related? Please account for the sings , + or - .Solution: R B A r r r 2131=-=-2.6 A certain reaction has a rate given by-r A = 0.005 C 2 A , mol/cm 3·min If the concentration is to be expressed in mol/liter and time in hours, what wouldbe the value and units of the rate constant?Solution:min)()(3'⋅⨯-=⋅⨯-cm molr hr L mol r A A 22443'300005.0106610)(minAA A A A C C r r cm mol mol hr L r =⨯⨯=⋅⨯=-⋅⋅⋅=-∴ AA A A A C C cmmol mol L C cmmolC L mol C 33'3'10)()(=⋅⋅=∴⨯=⨯2'42'32'103)10(300300)(AA A A C C C r --⨯=⨯==-∴ 4'103-⨯=∴k2.7 For a gas reaction at 400 K the rate is reported as -dtdp A= 3.66 p 2 A , atm/hr (a) What are the units of the rate constant?(b) What is the value of the rate constant for this reaction if the rate equation isexpressed as-r A = - dtdN V A1 = k C2 A , mol/m 3·s Solution:(a) The unit of the rate constant is ]/1[hr atm ⋅ (b) dtdN V r AA 1-=-Because it’s a gas reaction occuring at the fined terperatuse, so V=constant, and T=constant, so the equation can be reduced to22)(66.366.3)(1RT C RTP RT dt dP RT dt dP VRT V r A A A A A ==-=-=-22)66.3(A A kC C RT ==So we can get that the value of1.12040008205.066.366.3=⨯⨯==RT k2.9 The pyrolysis of ethane proceeds with an activation energy of about 300 kJ/mol.How much faster the decomposition at 650℃ than at 500℃?Solution:586.7)92311731()10/(314.8/300)11(3211212=-⋅⋅=-==KK K mol kJ mol kJ T T R E k k Ln r r Ln7.197012=∴r r2.11 In the mid-nineteenth century the entomologist Henri Fabre noted that French ants (garden variety) busily bustled about their business on hot days but were rather sluggish on cool days. Checking his results with Oregon ants, I findRunning speed, m/hr150160230295370Temperatu re, ℃13 16 22 24 28 What activation energy represents this change in bustliness? Solution:RTE RTE RTE ek eak t cons ion concentrat f let ion concentrat f ek r ---=⋅⋅=⋅='00tan )()(RET Lnk Lnr A 1'-=∴ Suppose Tx Lnr y A 1,==, so ,REslope -= intercept 'Lnk =)/(1-⋅h m r A 150 160 230 295 370 A Lnr-3.1780 -3.1135 -2.7506 -2.5017 -2.2752CT o / 13 16 22 24 28 3101-⨯T3.4947 3.4584 3.3881 3.3653 3.3206-y = 5417.9x - 15.686R2 = 0.9712340.00330.003350.00340.003450.00351/T-L n r-y = -5147.9 x + 15.686Also K REslope 9.5147-=-=, intercept 'Lnk == 15.686 , mol kJ K mol J K E /80.42)/(3145.89.5147=⋅⨯-=Chapter 3 Interpretation of Batch Reactor Data3.1 If -r A = - (dC A /dt) =0.2 mol/liter·sec when C A = 1 mol/liter, what is the rate ofreaction when C A = 10 mol/liter? Note: the order of reaction is not known.Solution: Information is not enough, so we can’t answer this kind of question.3.2 Liquid a sedomposes by first-order kinetics, and in a batch reactor 50% of A isconverted in a 5-minute run. How much longer would it take to reach 75% conversion?Solution: Because the decomposition of A is a 1st -order reaction, so we can express the rate equation as:A A kC r =-We know that for 1st -order reaction, kt C C LnAAo=, 11kt C C LnA Ao =, 22kt C CLn A Ao = Ao A C C 5.01=, Ao A C C 25.02=So 21)24(1)(11212Ln kLn Ln k C C Ln C C Ln k t t A Ao A Ao =-=-=- equ(1) min 521)(111===Ln kC C Ln k t A Ao equ(2) So m in 5112==-t t t3.3 Repeat the previous problem for second-order kinetics. Solution: We know that for 2nd -order reaction, kt C C A A =-011, So we have two equations as follow:min 511211101k kt C C C C C AoAo Ao A A ===-=-, equ(1)2123)1(31411kt kt C C C C C AoAo Ao Ao A ===-=-, equ(2) So m in 15312==t t , m in 1012=-t t3.4 A 10-minute experimental run shows that 75% of liquid reactant is converted to product by a 21-order rate. What would be the fraction converted in a half-hour run?Solution: In a-21order reaction: 5.0AA A kC dt dC r =-=-, After integration, we can get:5.015.02A Ao C C kt -=, So we have two equations as follow:min)10(5.0)41(15.05.05.05.015.0k kt C C C C C Ao Ao AoA Ao ===-=-, equ(1) min)30(25.025.0k kt C C A Ao ==-, equ(2)Combining these two equations, we can get:25.05.1kt C Ao =, but this means 05.02<A C , whichis impossible, so we can conclude that less than half hours, all the reactant is consumed up. So the fraction converted 1=A X .3.5 In a hmogeneous isothermal liquid polymerization, 20% of the monomer disappears in 34 minutes for initial monomer concentration of 0.04 and also for 0.8 mol/liter. What rate equation represents the disappearance of the monomer?Solution: The rate of reactant is independent of the initial concentration of monomers, so we know the order of reaction is first-order,monomer monomer kC r =-And k C C Lnoomin)34(8.0= 1min 00657.0-=kmonomer monomer C r )min 00657.0(1-=-3.6 After 8 minutes in a batch reactor, reactant (C A0 = 1 mol/liter) is 80% converted; after 18 minutes, conversion is 90%. Find a rate equation to represent this reaction. Solution:In 1st order reaction, 43.1511111111212==--=Ln Ln X Lnk X Ln k t t A A , dissatisfied.In 2nd order reaction, 49/4/912.0111.01)11(1)11(11212==--=--=Ao Ao Ao Ao Ao Ao Ao A Ao A C C C C C C C C k C C k t t, satisfied.According to the information, the reaction is a 2nd -order reaction.3.7 nake-Eyes Magoo is a man of habit. For instance, his Friday evenings are all alike —into the joint with his week’s salary of $180, steady gambling at “2-up” for two hours, then home to his family leaving $45 behind. Snake Eyes’s betting pattern is predictable. He always bets in amounts proportional to his cash at hand, and his losses are also predictable —at a rate proportional to his cash at hand. This week Snake-Eyes received a raise in salary, so he played for three hours, but as usual went home with $135. How much was his raise? Solution:180=Ao n , 13=A n , h t 2=,135'=A n , h t 3;=, A A kn r α-So we obtain kt n n LnAAo=, ''')()(tn n Ln t n n Ln AAo A Ao= 3135213180'Ao n Ln Ln =, 28'=An3.9 The first-order reversible liquid reactionA ↔ R , C A0 = 0.5 mol/liter, C R0=0takes place in a batch reactor. After 8 minutes, conversion of A is 33.3% while equilibrium conversion is 66.7%. Find the equation for the this reaction. Solution: Liquid reaction, which belongs to constant volume system,1st order reversible reaction, according to page56 eq. 53b, we obtain121112102110)(1)(-+-+=+-==⎰⎰AX A A tX k k k k Lnk k X k k k dX dt t Amin 8sec 480==t , 33.0=A X , so we obtain eq(1)33.0)(1min8sec 480211121k k k k Ln k k +-+= eq(1) Ae AeAe c X X M C C k k K -+===1Re 21, 0==AoRo C C M , so we obtain eq(2) 232132121=-=-==AeAe c X X k k K ,212k k =∴ eq(2)Combining eq(1) and eq(2), we obtain1412sec 108.4m in 02888.0---⨯==k 14121sec 1063.9m in 05776.02---⨯===k kSo the rate equation is )(21A Ao A AA C C k C k dtdC r --=-=- )(sec 1063.9sec 108.401414A A A C C C -⨯-⨯=----3.10 Aqueous A reacts to form R (A→R) and in the first minute in a batch reactor itsconcentration drops from C A0 = 2.03 mol/liter to C Af = 1.97 mol/liter. Find the rate equation from the reaction if the kinetics are second-order with respect to A.Solution: It’s a irreversible second -order reaction system, according to page44 eq 12, we obtainmin 103.2197.111⋅=-k , so min015.01⋅=mol Lkso the rate equation is 21)min 015.0(A A C r -=-3.15 At room temperature sucrose is hydrolyzed by the catalytic action of the enzymesucrase as follows:Aucrose −−→−sucraseproductsStarting with a sucrose concentration C A0 = 1.0 millimol/liter and an enzyme concentrationC E0= 0.01 millimol/liter, the following kinetic data are obtained in a batch reactor (concentrations calculated from optical rotation measurements):Determine whether these data can be reasonably fitted by a knietic equation of the Michaelis-Menten type, or-r A =MA E A C C C C k +03 where C M = Michaelis constantIf the fit is reasonable, evaluate the constants k 3 and C M . Solve by the integral method.Solution: Solve the question by the integral method:AA M A A Eo A A C k Ck C C C C k dt dC r 5431+=+=-=-, M Eo C C k k 34=, MC k 15= AAo A Ao A Ao C C C C Lnk k k C C t -⋅+=-4451hrt ,AC ,mmol /L A Ao AAo C C C C Ln-AAo C C t -1 0.84 1.0897 6.25 20.681.20526.25C A , millimol /liter0.84 0.68 0.53 0.38 0.27 0.16 0.09 0.04 0.018 0.006 0.0025t,hr 1 2 3 4 5 6 7 8 9 10 113 0.53 1.3508 6.38304 0.38 1.5606 6.45165 0.27 1.7936 6.8493 6 0.16 2.1816 7.14287 0.09 2.6461 7.69238 0.04 3.3530 8.33339 0.018 4.0910 9.1650 10 0.006 5.1469 10.0604 110.00256.006511.0276Suppose y=A Ao C C t-, x=AAo A Ao C C C C Ln-, thus we obtain such straight line graphy = 0.9879x + 5.0497R 2 = 0.99802468101201234567Ln(Cao/Ca)/(Cao-Ca)t /(C a o -C a )9879.0134===Eo M C k C k Slope , intercept=0497.545=k k So )/(1956.00497.59879.015L mmol k C M ===, 14380.1901.09879.01956.0-=⨯==hr C C k k Eo M3.18 Enzyme E catalyzes the transformation of reactant A to product R as follows: A −−→−enzyme R, -r A =min22000⋅+liter molC C C A E AIf we introduce enzyme (C E0 = 0.001 mol/liter) and reactant (C A0 = 10mol/liter) into a batch rector and let the reaction proceed, find the time needed for the concentration of reactant to drop to 0.025 mol/liter. Note that the concentration of enzyme remains unchanged during the reaction.. Solution:510001.020021+=⨯+=-=-AA A A A C C C dC dt r Rearranging and integrating, we obtain:10025.0025.0100)(510)510(⎥⎦⎤⎢⎣⎡-+=+-==⎰⎰A Ao A Ao A A tC C C C Ln dC C dt t min 79.109)(5025.01010=-+=A Ao C C Ln3.20 M.Hellin and J.C. Jungers, Bull. soc. chim. France, 386(1957), present the data in Table P3.20 on thereaction of sulfuric acid with diethylsulfate in a aqueous solution at22.9℃:H 2SO 4 + (C 2H 5)2SO 4 → 2C 2H 5SO 4HInitial concentrations of H 2SO 4 and (C 2H 5)2SO 4 are each 5.5 mol/liter. Find a rate equation for this reaction.Table P3.20 t, minC 2H 5SO 4H , mol/li ter t, minC 2H 5SO 4H , mol/li ter1804.1141 1.18 194 4.31 48 1.38 212 4.45 55 1.63 267 4.86 75 2.24 318 5.15 96 2.75 368 5.32 127 3.31 379 5.35 146 3.76 410 5.42 1623.81∞(5.80)Solution: It’s a constant -volume system, so we can use X A solving the problem: i) We postulate it is a 2nd order reversible reaction system R B A 2⇔+ The rate equation is: 221R B A A A C k C C k dtdC r -=-=- L mol C C Bo Ao /5.5==, )1(A Ao A X C C -=, A A Ao Bo B C X C C C =-=, A Ao R X C C 2=When ∞=t , L mol X C C Ae Ao /8.52Re == So 5273.05.528.5=⨯=Ae X , L mol X C C C Ae Ao Be Ae /6.2)5273.01(5.5)1(=-⨯=-== After integrating, we obtaint C X k X X X X X LnAo AeA Ae A Ae Ae )11(2)12(1-=--- eq (1)The calculating result is presented in following Table.t,mi nLmol C R /,Lmol C A /,AXAAe AAe Ae X X X X X Ln---)12()1(AeAX X Ln -0 0 5.5 0 0 041 1.18 4.91 0.10730.2163 -0.227548 1.38 4.81 0.12540.2587 -0.271755 1.63 4.685 0.14820.3145 -0.329975 2.24 4.38 0.20360.4668 -0.488196 2.75 4.125 0.25 0.6165 -0.642712 7 3.31 3.8450.30090.8140 -0.845614 6 3.76 3.620.34181.0089 -1.044916 2 3.81 3.5950.34641.0332 -1.069718 0 4.11 3.4450.37361.1937 -1.233119 4 4.31 3.3450.39181.3177 -1.359121 2 4.45 3.2750.40451.4150 -1.4578267 4.86 3.07 0.4418 1.7730 -1.8197 318 5.15 2.925 0.4682 2.1390 -2.1886 368 5.32 2.84 0.4836 2.4405 -2.4918 379 5.35 2.825 0.4864 2.5047 -2.5564 4105.42 2.79 0.4927 2.6731 -2.7254 ∞5.82.60.5273——Draw AAe AAe Ae X X X X X Ln---)12(~ t plot, we obtain a straight line:y = 0.0067x - 0.0276R 2= 0.998800.511.522.530100200300400500tL n0067.0)11(21=-=Ao AeC X k Slope ,min)/(10794.65.5)15273.01(20067.041⋅⨯=⨯-=∴-mol L kWhen approach to equilibrium, BeAe c C C C k k K 2Re 21==, so min)/(10364.18.56.210794.642242Re 12⋅⨯=⨯⨯==--mol L C C C k k Be Ae So the rate equation ism in)/()10364.110794.6(244⋅⨯-⨯=---L mol C C C r R B A Aii) We postulate it is a 1st order reversible reaction system, so the rate equation isR A AA C k C k dtdC r 21-=-=- After rearranging and integrating, we obtaint k X X X Ln AeAe A '11)1(=-eq (2) Draw )1(AeAX X Ln -~ t plot, we obtain another straight line: -y = 0.0068x - 0.0156R 2 = 0.998600.511.522.530100200300400500x-L n0068.0'1-==AeX k Slope ,So 13'1m in 10586.35273.00068.0--⨯-=⨯-=k133Re '1'2min 10607.18.56.210586.3---⨯-=⨯⨯-==C C k k AeSo the rate equation ism in)/()10607.110586.3(33⋅⨯+⨯-=---L mol C C r R A AWe find that this reaction corresponds to both a 1st and 2nd order reversible reaction system, by comparing eq.(1) and eq.(2), especially when X Ae =0.5 , the two equations are identical. This means these two equations would have almost the same fitness of data when the experiment data of the reaction show that X Ae =0.5.(The data that we use just have X Ae =0.5273 approached to 0.5, so it causes to this.)3.24 In the presence of a homogeneous catalyst of given concentration, aqueous reactant A is converted to product at the following rates, and C A alone determines this rate:C A ,mol/liter1 2 4 6 7 9 12-r A , mol/liter·hr0.06 0.1 0.25 1.0 2.0 1.0 0.5We plan to run this reaction in a batch reactor at the same catelyst concentration as used in getting the above data. Find the time needed to lower the concentration of A from C A0 = 10 mol/liter to C Af = 2 mol/liter.Solution: By using graphical integration method, we obtain that the shaped area is 50 hr.04812162002 4 68 10 12 14Ca-1/Ra3.31 The thermal decomposition of hydrogen iodide 2HI → H 2 + I 2is reported by M.Bodenstein [Z.phys.chem.,29,295(1899)] as follows:T,℃ 508427 393 356 283k,cm 3/mol·s0.10590.003100.00058880.9×10-60.942×10-6Find the complete rate equation for this reaction. Use units of joules, moles, cm 3,and seconds.According to Arrhenius’ Law,k = k 0e -E/R Ttransform it,- In(k) = E/R·(1/T) -In(k 0)Drawing the figure of the relationship between k and T as follows:y = 7319.1x - 11.567R 2= 0.987904812160.0010.0020.0030.0041/T-L n (k )From the figure, we getslope = E/R = 7319.1 intercept = - In(k 0) = -11.567E = 60851 J/mol k 0 = 105556 cm 3/mol·sFrom the unit [k] we obtain the thermal decomposition is second-order reaction, so the rate expression is- r A = 105556e -60851/R T ·C A 2Chapter 4 Introduction to Reactor Design4.1 Given a gaseous feed, C A0 = 100, C B0 = 200, A +B→ R + S, X A = 0.8. Find X B ,C A ,C B . Solution: Given a gaseous feed, 100=Ao C , 200=Bo C , S R B A +→+0=A X , find B X , A C , B C0==B A εε, 202.0100)1(=⨯=-=A Ao A X C C4.02008.01001=⨯⨯==Bo A Ao B C X bC X 1206.0200)1(=⨯=-=B Bo B X C C4.2 Given a dilute aqueous feed, C A0 = C B0 =100, A +2B→ R + S, C A = 20. Find X A , X B , C B .Solution: Given a dilute aqueous feed, 100==Bo Ao C C ,S R B A +→+2, 20=A C , find A X , B X , B CAqueous reaction system, so 0==B A εε When 0=A X , 200=V When 1=A X , 100=VSo 21-=A ε, 41-==Ao Bo A B bC C εε8.01002011=-=-=Ao A A C C X , 16.11008.010012>=⨯⨯=⋅=Bo A Ao B C X C a b X , which is impossible. So 1=B X , 100==Bo B C C4.3 Given a gaseous feed, C A0 =200, C B0 =100, A +B→ R, C A = 50. Find X A , X B , C B . Solution: Given a gaseous feed, 200=Ao C , 100=Bo C ,R B A →+, 50=A C .find A X , B X , B C75.02005011=-=-=Ao A A C C X , 15.1>==BoAAo B C X bC X , which is impossible. So 100==Bo B C C4.4 Given a gaseous feed, C A0 = C B0 =100, A +2B→ R, C B = 20. Find X A , X B , C A . Solution: Given a gaseous feed, 100=+Bo Ao C C ,R B A →+2, 20=Bo C , Find A X , B X , A C0=B X , 200100100=+=B A V ,1=B X 15010050=+=R A V25.0200200150-=-=B ε, 5.01002110025.0-=⨯⨯-=-A ε842.02025.010020100=⨯--=B X , 421.0100842.010021=⨯⨯=A X34.73421.05.01421.0110011=⨯--⨯=+-=A A A AoA X X C C ε4.6 Given a gaseous feed, T 0 =1000 K, π0=5atm, C A0=100, C B0=200, A +B→5R,T =400K, π=4atm, C A =20. Find X A , X B , C B .Solution: Given a gaseous feed, K T o 1000=, atm 50=π, 100=Ao C , 200=Bo CR B A 5→+, K T 400=, atm 4=π, 20=A C , find A X , B X , B C .1300300600=-=A ε, 2==Ao Bo AB bC C a εε,5.0410********=⨯⨯=ππT T According to eq page 87,818.05.010020115.0100201110000=⨯⨯+⨯-=+-=ππεππT T C C T T C C X Ao A AAo A A409.0200818.0100=⨯==Bo A Ao B aC X bC X130818.011200)818.0100200(1)(0=⨯+⨯-=+-=A A Ao A Ao Bo B X C T T X a b C C C εππ4.7 A Commercial Popcorn Popping Popcorn Popper. We are constructing a 1-literpopcorn to be operatedin steady flow. First tests in this unit show that 1 liter/min of raw corn feed stream produces 28 liter/minof mixed exit stream. Independent tests show that when raw corn pops its volumegoes from 1 to 31.With this information determine what fraction of raw corn is popped in the unit.Solution: 301131=-=A ε, ..1u a C Ao =, ..281281u a C C Ao A ==%5.462813012811=⨯+-=+-=∴AA Ao A Ao A C C C C X εChapter 5 Ideal Reactor for a single Reactor5.1 Consider a gas-phase reaction 2A → R + 2S with unknown kinetics. If a spacevelocity of 1/min is needed for 90% conversion of A in a plug flow reactor, find the corresponding space-time and mean residence time or holding time of fluid in the plug flow reactor.Solution: min 11==sτ,Varying volume system, so t can’t be found.5.2 In an isothermal batch reactor 70% of a liquid reactant is converted in 13 min.What space-time and space-velocity are needed to effect this conversion in a plug flow reactor and in a mixed flow reactor? Solution: Liquid reaction system, so 0=A ε According to eq.4 on page 92, min 130=-=⎰AX AAAo r dC C t Eq.13, AAAo A A Ao R F M r X C r C C -=--=..τ, R F M ..τ can’t be cert ain. Eq.17, ⎰-=AX AAAo R F P r dX C 0..τ, so m in 13...==R B R F P t τ5.4 We plan to replace our present mixed flow reactor with one having double thebolume. For the same aqueous feed (10 mol A/liter) and the same feed rate find the new conversion. The reaction are represented byA → R, -r A = kC 1.5 ASolution: Liquid reaction system, so 0=A εA A Ao Ao r X C F V -==τ, 5.1)]1([)(A Ao A A Ao A Ao X C k X r C C C -=-- Now we know: V V 2=', Ao Ao F F =', Ao Ao C C =', 7.0=A X So we obtain5.15.15.15.1)1()2)1(2A Ao A A Ao A Ao Ao X kC X X kC X F VF V -='-'==''52.8)7.01(7.02)1(5.15.1=-⨯='-'∴A AX X794.0='A X5.5 An aqueous feed of A and B (400liter/min, 100 mmol A/liter, 200 mmol B/liter) isto be converted to product in a plug flow reactor. The kinetics of the reaction is represented byA +B→ R, -r A = 200C A C Bmin⋅liter molFind the volume of reactor needed for 99.9% conversion of A to product.Solution: Aqueous reaction system, so 0=A εAccording to page 102 eq.19,⎰⎰-=-==Af AfX AA X A A AoAo Ao r dX r dC C C t F V 001⎰-==AfX AAAo or dX C Vντ, m in /400liter o =ν, L r dX r dX C V AAX A A o Ao Af3.1244001.0999.000=-⨯=-=∴⎰⎰ν5.9 A specific enzyme acts as catalyst in the fermentation of reactant A. At a givenenzyme concentration in the aqueous feed stream (25 liter/min) find the volume of plug flow reactor needed for 95% conversion of reactant A (C A0 =2 mol/liter ). The kinetics of the fermentation at this enzyme concentration is given byA −−→−enzymeR , -r A = litermolC C A A ⋅+min 5.011.0Solution: P.F.R, according to page 102 eq.18, aqueous reaction, 0=ε⎰-=A X AA Ao r dX F V 0 )11(21251.05.010A AX A A A Ao X X Ln dX C C F V A+-⨯=+=∴⎰\L Ln4.986)95.005.01(125=+=5.11 Enzyme E catalyses the fermentation of substrate A (the reactant) to product R.Find the size of mixed flow reactor needed for 95% conversion of reactant in a feed stream (25 liter/min ) of reactant (2 mol/liter) and enzyme. The kinetics of the fermentation at this enzyme concentration are given byA −−→−enzyme R , -r A =litermolC C A A ⋅+min 5.011.0Solution: min /25L o =ν, L mol C Ao /2=, m in /50mol F Ao =, 95.0=A X Constant volume system, M.F.R., so we obtainmin 5.199205.05.01205.01.095.02=⨯⨯+⨯⨯⨯=-==AAAo or X C Vντ,39875.4min /25min 5.199m L V o =⨯==τν5.14 A stream of pure gaseous reactant A (C A0 = 660 mmol/liter) enters a plug flowreactor at a flow rate of F A0 = 540 mmol/min and polymerizes the as follows3A → R, -r A = 54min⋅liter mmolHow large a reactor is needed to lower the concentration of A in the exitstream to C Af = 330 mmol/liter?Solution: 321131-=-=A ε, 75.0660330321660330111=⨯--=+-=Ao A A Ao A A C C C C X ε 0-order homogeneous reaction, according to page 103 eq.20A Ao AoAooX C F VC kVkk ===ντ So we obtainL X k C C F V A Ao Ao Ao 5.75475.05401=⨯==5.16 Gaseous reactant A decomposes as follows:A → 3 R, -r A = (0.6min -1)C AFind the conversion of A in a 50% A – 50% inert feed (υ0 = 180 liter/min, C A0 =300 mmol/liter) to a 1 m 3 mixed flow reactor.Solution: 31m V =, M.F.R. 1224=-=A εAccording to page 91 eq.11, AAAoAAo AAAo oX X C X C r X C V+-=-==116.0ντmin/1801000)1(6.0)1(L LX X X A A A =-+=So we obtain 667.0=A XChapter 6 Design for Single Reactions6.1 A liquid reactant stream (1 mol/liter) passes through two mixed flow reactors in aseries. The concentration of A in the exit of the first reactor is 0.5 mol/liter. Find the concentration in the exit stream of the second reactor. The reaction is second-order with respect to A and V 2/V 1 =2.Solution:V 2/V 1 = 2, τ1 =011υV =A A A r C C --10 , 2τ = 022υV = 221A A A r C C --C A0=1mol/l , C A1=0.5mol/l , 0201υυ=, -r A1=kC 2 A1 ,-r A2=kC 2 A2 (2nd-order) , 2×2110A A A kC C C -=2221A A A kC C C - So we obtain 2×(1-0.5)/(k0.52)=(0.5-C A2)/(kC A22)C A2= 0.25 mol/l6.2 Water containing a short-lived radioactive species flows continuously through awell-mixed holdup tank. This gives time for the radioactive material to decay into harmless waste. As it now operates, the activity of the exit stream is 1/7 of the feed stream. This is not bad, but we’d like to lower it still more.One of our office secretaries suggests that we insert a baffle down the middle ofthe tank so that the holdup tank acts as two well-mixed tanks in series. Do you think this would help? If not, tell why; if so calculate the expected activity of the exit stream compared to the entering stream.Solution: 1st-order reaction, constant volume system. From the information offeredabout the first reaction,we obtain1τ=01100117171A A A A A A C k C C kC C C V ⋅-=-=υ If a baffle is added,022220212122212υυτττV V +=+==011υV =2222221210A A A A A A kC C C kC C C -+-=007176A A kC C =6/k …… ①。
ichq1b中文版
ICH Q1B 中文版稳定性试验:新原料药和制剂的光稳定性试验通则新原料药和新药制剂的ICH稳定性试验指导原则(以下称总指导原则)指出光照试验是强力破坏试验中的重要组成部分。
本文是总指导原则的附加说明,提出了光稳定性试验的一些建议。
序言新原料药和新药制剂应经过适当的光稳定特征考察,证明其本身的光稳定性,即光照不能引起不可接受的变化。
按照总指导原则中“批号选择”,光稳定性试验只须选做一批样品。
在某些情况下如当这个产品发生变更或变化时(如处方、包装),这些研究应再重复进行。
这些研究是否必须重复进行取决于起始文件中所测定的该物质的光稳定特征及变更或变化的类型。
本指导原则主要阐述注册申报新化合物及其制剂时所需报送的光稳定性试验资料,不包括已发放的药物(如在使用中的)的光稳定性试验和总指导原则中未包括其用法的药物的申报内容。
如果有科学合理的其他替代方法也可采用。
光稳定性试验研究包括:I对原料药试验;II对除去内包装的制剂试验(如需要);III对除去外包装的制剂试验(如需要);IV上市包装的制剂试验。
按判断图指示进行药物光稳定性试验,可根据到哪一步发生了可以接受的变化来决定试验到哪一步即可停止,“可接受的变化”是指经申报者论证合理的限度内的变化。
光敏性药物和制剂是否要在标签上标记要求,由国家!地区来定。
B光源以下所述的光源可用于光稳定性试验。
申报者可控制合适的温度以减少局部温度变化效应,也可在相同环境中作一暗度控制(避光对照)(除另有规定外)。
对方法1和2,药物生产者!申报者可根据光源的光谱分布来选择。
方法1采用任何输出相似于D65/ID65(发射标准的光源,如具有可见紫外输出的人造日光荧光灯、氙灯或金属卤化物灯。
D65(是国际上认可的室外日光标准[ISO10977(1993)]。
ID65相当于室内间接日光际准。
若光源发射光低于320nm,应滤光除去。
方法2对于选择方法2,相同样品应同时暴露在日光灯和近紫外灯下。
中间体的吸附、偶联等反应
中间体的吸附、偶联等反应英文回答:The adsorption and coupling reactions of intermediates play crucial roles in various chemical processes. These reactions are often involved in the formation of new chemical bonds and the transformation of reactants into products. Understanding the mechanisms and kinetics of these reactions is essential for designing efficient catalytic systems and optimizing reaction conditions.Adsorption is the process by which molecules or atoms bind to the surface of a solid or liquid. It can occur through various interactions, such as van der Waals forces, hydrogen bonding, or covalent bonding. The adsorption of intermediates onto a catalyst surface is often the first step in a catalytic reaction. It provides a platform for further reactions to take place and influences the overall reaction rate.Coupling reactions involve the formation of new chemical bonds between two or more reactant molecules. These reactions are commonly used in organic synthesis to construct complex molecules. In many cases, the intermediates formed during the reaction play a crucialrole in the coupling process. They can undergo various transformations, such as oxidative addition, reductive elimination, or nucleophilic attack, to form the desired products.The study of adsorption and coupling reactions of intermediates is often carried out using various experimental techniques, such as surface science methods, spectroscopy, and kinetic measurements. These techniques provide valuable information about the nature of the intermediates, their binding sites on the catalyst surface, and their reactivity. Computational methods, such as density functional theory (DFT) calculations, are also widely used to investigate the reaction mechanisms and energetics of these processes.Understanding the factors that influence the adsorptionand coupling reactions of intermediates is crucial for catalyst design and optimization. The nature of thecatalyst surface, including its composition, morphology, and crystal structure, can significantly affect the adsorption and reactivity of intermediates. The presence of co-adsorbates or additives can also influence these reactions by modifying the electronic properties of the catalyst surface or providing additional reaction pathways.In conclusion, the adsorption and coupling reactions of intermediates are important processes in various chemical reactions. Studying these reactions can provide valuable insights into the mechanisms and kinetics of catalytic processes. By understanding the factors that influence these reactions, researchers can design more efficient catalysts and optimize reaction conditions for various applications.中文回答:中间体的吸附和偶联反应在各种化学过程中起着关键作用。
晶体模拟退火英语
晶体模拟退火英语Crystal Simulated Annealing in EnglishSimulated annealing is a computational technique for finding an approximation to the global minimum (or maximum) of a given function. The method is based on the process of annealing in metallurgy, where a material is heated and then slowly cooled to decrease the defects in its structure. In the context of optimization, the "temperature" is a parameter that controls the probability of accepting a new solutionthat is worse than the current one.In the field of crystallography, simulated annealing is used to predict the structure of crystals from diffraction data. The process involves the following steps:1. Initialization: Start with a random configuration of atoms in the crystal lattice.2. Heating: Raise the "temperature" to a high value, which allows for large changes in the atomic positions. This step is crucial because it allows the system to escape from local minima.3. Cooling Schedule: Gradually decrease the "temperature" over time. As the temperature drops, the system becomes more likely to settle into lower-energy configurations.4. Energy Evaluation: At each step, calculate the energy of the system based on the current atomic positions. This energy function is a mathematical representation of the stability of the crystal structure.5. Acceptance Criterion: Decide whether to accept a new configuration based on the Metropolis criterion, which compares the energy of the new state with the current state and the current "temperature".6. Convergence: Continue the process until the system reaches a state of minimum energy, indicating that a stable crystal structure has been found.Simulated annealing is particularly useful in crystal structure prediction because it can navigate the complex energy landscapes typical of crystalline materials. It allows for the exploration of a vast number of possible configurations, increasing the chances of finding the true global minimum, which corresponds to the most stable and accurate crystal structure.The technique has been successfully applied to a wide range of materials, from simple inorganic crystals to complex organic compounds and proteins. It remains a powerful tool in the arsenal of computational chemists and materials scientists, contributing to the advancement of our understanding and design of new materials.。
Quality by Design and the Development of Solid Oral Dosage Forms
107M.J. Rathbone and A. McDowell (eds.), Long Acting Animal Health Drug Products: Fundamentals and Applications , Advances in Delivery Science and Technology, DOI 10.1007/978-1-4614-4439-8_7, © Controlled Release Society 2013A bstract T he intent of this chapter is to provide a high-level overview of the v arious options available within the QbD tool chest and to describe the bene fi t s derived from adopting a QbD approach to drug product development. This chapter also presents a set of terms and de fi n itions that are consistent with ICH Guidelines, practical examples of how QbD can be applied throughout a product life cycle, and the interrelationship between the multiple factors that contribute to product understanding and to the development of product speci fi c ations.A bbreviatio n sA PIA ctive pharmaceutical ingredient C PPC ritical process parameter C QAC ritical quality attributeD OED esign of experiment F MEAF ailure modes effect analysis I CHI nternational Conference on Harmonization I SOI nternational Organization for Standardization Q bDQ uality by design Q RMQ uality risk management Q TPPQ uality target product pro fil e M CCM icrocrystalline cellulose M SPC M ultivariate statistical process control R . F ahmy (*) • M . N . M artinezC enter for Veterinary Medicine, Of fi c e of New Drug Evaluation,Food and Drug Evaluation, Food and Drug Administration , R ockville , M D , U SA e-mail: r aafat.fahmy@D . D anielsonP errigo Company ,A llegan ,M I ,U SAC hapter 7Quality by Design and the Development of Solid Oral Dosage FormsR aafat F ahmy ,D ouglas D anielson ,and M arilyn N . M artinez108R. Fahmy et al. M ST M aterial science tetrahedronN IR N ear-infrared spectroscopyP AR P roven acceptable rangesP AT P rocess analytical technologyP IP P rocess-ingredient product diagramP QS P harmaceutical quality systemR PN R isk priority numberR TRT R eal-time release testS PC S tatistical process control7.1 I ntroductionQ uality by design (QbD) has been de fin ed as “a systematic approach to develop-ment that begins with prede fin ed objectives and emphasizes product and process understanding and process control, based on sound science and quality risk manage-ment” (ICH Q8). Despite the innovative aspects of QbD approaches in pharmaceuti-cal product development, the concept of QbD has long been widely applied within such industries as automotive, aviation, petrochemical, and f ood production.A fundamental goal of drug product development and regulation is to ensure that each marketed lot of an approved product provides its intended in vivo performance characteristics. Globally, regulatory agencies are encouraging the pharmaceutical industry to adopt the QbD concept when developing a new drug product or when improving their legacy drug products. Within the past several years, experts from regulatory authorities within the USA, Europe, and Japan have worked together under the umbrella of International Conference for Harmonization (ICH) to estab-lish a basis for applying these concepts.U ltimately, the use of QbD provides an understanding of the drug product based on science and risk. It provides a mechanism whereby scientists utilize their under-standing of material attributes and of manufacturing process and controls to assure that the product performs in a manner that is consistent with its targeted in vivo performance [i.e., its quality target product pro fil e (QTPP)]. It also affords drug sponsors and regulators greater fle xibility in terms of product speci fic ations and allowable postmarketing changes. To this end, the ICH has published several guid-ance documents related to product quality. The documents that are the most relevant to QbD are the ICH Q8(R2) [Pharmaceutical Development], ICH Q9 [Quality Risk Management], and ICH Q10 [Quality System].T his chapter provides a high-level overview of the various options available within the QbD tool chest and describes the bene fit s derived from adopting a QbD approach to drug product development. This chapter also presents a set of terms and de fin itions that are consistent with ICH Guidelines, practical examples of how QbD can be applied throughout a product life cycle, and the interrelationship between the multiple factors that contribute to product understanding and to the development of product speci fic ations.109 7 Quality by Design and the Development of Solid Oral Dosage Forms7.2 Q uality by DesignA s stated in ICH Q8, “Quality cannot be tested into products.” In other words, quality should be built into the design of the product. Therefore, process understanding is a vital component of the overall product development scheme.W ithin the QbD paradigm, the critical quality attributes (CQAs) of the drug product or raw materials (i.e., the physical, chemical, biological, or microbiological properties that need to be controlled to assure product quality) and the critical pro-cess parameters (CPPs) (i.e., the various process inputs that affect product quality) need to be understood. To achieve this understanding, all of the independent vari-ables associated with the manufacturing process and raw materials should be stud-ied (i.e., equipment, locations, parameters, and sources or grade of excipients). In so doing, the CQAs and CPPs can be identi fie d and controlled, thereby reducing the variability in product performance, improving product quality, reducing the risk of manufacturing failure, and enhancing productivity.I n contrast to the QbD approach, when speci fic ations are derived from data gen-erated on up to three clinical batches (not necessarily at production scale), it is not possible to obtain the necessary mechanistic understanding of the formulation and the manufacturing process. The impact of this lack of understanding is the develop-ment of product speci fic ations that may either be more rigid than necessary to insure product performance or, alternatively, may not be strict enough to insure batch-to-batch consistency in patient response. This lack of understanding may be of particu-lar concern during scale-up, which can lead to altered product performance.W hen manufacturing a product in accordance with the recommendations described in ICH Q8(R2), the critical formulation attributes and process parameters can be identi fie d through an assessment of the extent to which their respective varia-tions can impact product quality. In general, when developing a new product using QbD, the following steps may be considered (Fig. 7.1):1. D e fin e t he quality target product pro fil e ( Q TPP)as it relates to quality, safety,and ef fic acy.2. D esign the formulation and the appropriate manufacturing process using an iter-ative procedure that involves the identi fic ation of the material Critical Quality Attributes ( C QAs) and the manufacturing Critical Process Parameters ( C PPs). 3. D evelop a P rocess Understanding s trategy ,de fin ing the functional relation-ships that link m aterial CQAs and CPPs to the p roduc t CQAs through risk and statistical models. The selection of the raw materials and manufacturing process depends on the QTPP and process understanding:(a) T he CQAs of the drug product relates to the Active Pharmaceutical Ingredient(API) and determine the types and amounts of excipients that will result in a drug product with the desired quality.(b) T he CPPs of the drug product relates to all processing associated with theAPI and the excipients.4. C ombine the resulting product and process understanding with quality risk man-agement to e stablish an appropriate control strategy . This strategy is generally110R. Fahmy et al.based on the proposed D esign Space (derived from the initial targeted c onditions of product manufacture).5. B ased on the design space and the identi fi c ation of the high risk variables, d e fi n e procedures for minimizing the probability of product failure ( R isk Management ).6. B ased on the quality risk management tools established for a product, e stablish a method to implement risk management strategies (i.e., de fi n e the C ontrol Strategy) . These control strategies become the basis for continuous product quality and performance.7. T hrough process and product understanding, formulators have greater fle xibility to m anage and improve their product throughout its marketing life cycle .Global understanding of product formulation and manufacturing process estab-lishes design space and subsequent control strategies. As long as the process remains within a design space, the risk is minimized that product quality and performance will be compromised. Thus, the QbD approach can bene fi t both the patient and the manufacturer, and may lessen regulatory oversight of manufacturing changes that often occur over the course of a product’s marketing life cycle.7.2.1 T he QTPPPharmaceutical quality is characterized by a product that is free of contamination and reproducibly delivers the labeled therapeutic bene fi t s to the consumer [ 1].T he QTPP process is a starting point for identifying the material and product CQAs, guiding the scientist in designing a suitable formulation and manufacturing RISK ASSESSMENTFormulation :Activepharmaceuticalingredient (API)and excipients Material Critical Quality Attributes (CQAs )Critical Process Parameters (CPPs )Process Understanding Process e.g.,blending, granulation, drying time Design SpaceQuality RiskManagementControlStrategy Product LifecycleManagement andContinuousImprovement Define the quality target product profile (QTPP )F ig. 7.1 T he QbD approach to product development and life cycle management111 7 Quality by Design and the Development of Solid Oral Dosage Formsprocess. This is akin to a drug development strategy based on a foundation of “planning with the end in mind” [2], providing an understanding of what it will entail to ensure the product safety and ef fic acy. QTPP includes such considerations as (ICH Q8(R2), 2009) [3]:T he intended use and route of administration••T he dosage form, delivery system and dosage strength(s)•T he container closure systemT he pharmacokinetic characteristics of the therapeutic moiety or delivery system •(e.g., dissolution, aerodynamic performance•D rug product quality criteria such as sterility, purity, stability, and drug releaseB ecause the QTPP includes only patient-relevant product-performance elements, it differs from what is typically considered product manufacturing speci fic ations. For example, the QTPP may include elements of container–closure system (a criti-cal component of developing injectable solutions) and information about pharma-cokinetics and bioequivalence. These considerations would not be typically be included as part of the product release speci fic ations [3].Conversely, product speci fic ations may include tests such as particle size or tablet hardness, which are not typically part of the QTPP.T o establish QTTPs, the in vitro drug release should be linked to the desired clinical outcome [4–6]. Ultimately, such information can be used to integrate prod-uct design variables with the kinetics of the drug, the drug uptake characteristics, and the intended pharmacodynamic response in the targeted patient population.7.2.2 C ritical Quality AttributesA CQA is a physical, chemical, biological, or microbiological property or charac-teristic that should be maintained within an appropriate limit, range, or distribution to ensure the desired product quality. For example, assay, content uniformity, dis-solution, and impurities are common CQAs for an immediate release tablet formu-lation. There are two speci fic CQAs that are associated with the QbD paradigm: (1) CQAs can be associated with the drug substance, excipients, intermediates (in-process materials); (2) CQAs can be de fin ed for the fin ished product (ICH Q8).R isk assessment, knowledge of material physicochemical and biological proper-ties, and general scienti fic insights are all components integrated into an identi fic ation of the potentially high-risk variables that need to be studied and controlled [7].The fin al product CQAs should be directly related to the safety and ef fic acy of a drug product [3].7.2.2.1 S electing the Appropriate Manufacturing Process and Determinethe Critical Quality Attributes of the Drug Substance, ExcipientsP roduct development is an interdisciplinary science. For example, the formulation of solutions is guided by rheology (i.e., the study of material flo w characteristics)112R. Fahmy et al. and solution chemistry. The development of tablets involves powder flo w and solid state interactions. To manufacture an optimal drug delivery system, preformulation studies should be conducted to determine the appropriate salt and polymorphic form of a drug substance, to evaluate and understand the critical properties of the pro-posed formulation, and to understand the material’s stability under various process and in vivo conditions.T o obtain a better understanding of the characteristics of pharmaceutical formu-lations, a product development scientist can bene fit from applying the concept of the material science tetrahedron (MST). For example, let us examine the three dif-ferent techniques for preparing a tablet mix prior to the compression stage: direct compression powder blend, dry granulation, and wet granulation. Direct compres-sion is ideal for powders which can be mixed well and do not require further granu-lation prior to tableting. Dry granulation refers to the blending of ingredients, followed by compaction and size reduction of the mix, to produce a granular, free flo wing blend of uniform size. This can be achieved by roller compaction or through “slugging.” Finally, wet granulation involves the production of granules by the addition of liquid binders to the powder mixture.T o deliver a stable, uniform and effective drug product, it is important to know the solid state properties of the active ingredient, both alone and in combination with all other excipients, based on the requirements of the dosage form and pro-cesses. Simply relying upon USP monographs for excipients do not address issues pertaining to their physical characteristics and their relationship (interaction) with other components of the formulation or with the manufacturing process itself.A s will be discussed later, one of the excipient functionalities that can be under-stood through the MST is the dilution potential of an excipient. Dilution potential is a process-performance characteristic that can be de fin ed as the amount of an active ingredient satisfactorily compressed into tablets with a directly compressible excip-ient. Since the dilution potential is in flu enced by the compressibility of the active pharmaceutical ingredient, a directly compressible excipient should have high dilu-tion potential to minimize the weight of the fin al dosage form.T he MST facilitates an understanding of solid state material characteristics such as excipient work hardening. Work hardening, whether of the excipients or of the API, is important in roller compaction. Roller compaction depends on the excipi-ent’s ability to exhibit deformation without loss of flo w or compressibility. On recompression, the excipient should exhibit satisfactory performance.P owder segregation is a problem during the transfer of dry powder material from the blender to the tablet press. Direct compression is more prone to segregation due to the difference in the density of the API and excipients. The dry state of the mate-rial during mixing may result in static charge and lead to segregation, leading to problems such as variation in tablet weight and content uniformity.I f a powder blend’s properties are not suitable for direct compression and if the drug is neither heat nor moisture sensitive, then wet granulation processes may be appropriate for generating granules with the desired flo wability. Flowability is1137 Quality by Design and the Development of Solid Oral Dosage Forms important for minimizing tablet weight variations, for ensuring a high density for high tablet fi l ling weight, and for ensuring material compressibility. Wet granula-tion narrows the particle size distribution of a tablet formulation’s bulk powder, thereby eliminating segregation problems. Superior compressibility permits the use of higher quantities of the API, which promotes better distribution of the API within the tablet.7.2.2.2 M aterial Science TetrahedronThe term “material science tetrahedron” has been coined to describe the interplay between the following four basic elements [ 8]:• Performance : the ef fi c acy, safety, manufacturability, stability, and bioavailabil-ity of the drug product.• Properties: the interactions of the API with the biological targets in the body, the mechanical and physiochemical properties of the excipients, API, and the fi n ished product. Drug substance physiochemical properties include water content, par-ticle size, crystal properties, polymorphism, chirality, and electrostatic charge. • Structure : a description of the geometric con fi g uration of the product constituents such as consideration of the molecular, crystalline, bulk powder, and the granular characteristics of the various components.• Processing: the chemical synthesis, crystallization, milling, granulation, and compaction of the product.The interaction of these four elements (the six edges of the tetrahedron) is as important as the identi fi e d basic four elements (Fig. 7.2 ). Both the basic elements and the interaction of these elements must be well understood.F ig. 7.2 T he material science tetrahedron [ 8 ]114R. Fahmy et al.E xamples of the use of the material science tetrahedron in the QbD framework are as follows:a. S tructure–Property Relationships :In a QbD approach to formulation development,there is an understanding of how the components of the formulation relate to the product CQAs identi fie d in the QTPP. This understanding can be mechanistic or empirical (derived from experiments). Formulation development should focus on an evaluation of the highest risk attributes as identi fie d in the initial risk assess-ment model. The following are examples of structure–property relationships:•T he structure of drug crystals can profoundly in flu ence crystal properties.Polymorphs of an API differ in their solubility, dissolution rate, density, hard-ness, and crystal shape [9].•M any excipients are spray dried because amorphous material is more plastic than crystalline material and can therefore compress into harder tablets.•A n excipient may be described as multifunctional because it has physico-chemical features that may give it diverse useful properties.b. S tructure–Processing Relationships :The physicochemical properties of theexcipients and the API can in flu ence the manufacturing process. For example:•M any tablet excipients are available in grades that are distinguished by differ-ences in their structure. Each grade of excipient possesses a unique set of properties that offers an advantage in the manufacturing process.•T he shape and particle size distribution of a granulation affects its tabletabil-ity. Properly processed tablet granules should have a spherical shape to opti-mize powder flo w during mixing and tablet compression. The presence of fin es helps to fil l the inter-granule space, thereby promoting uniform die fil l.However, an excessive amount of fin es can be detrimental to powder flo w, leading to inconsistent die fil l and tablet capping.c. S tructure–Performance Relationships :Direct compression excipients are materi-als where desirable performance is achieved through their structure. A good example is modi fie d starch, where the amylose structure can be modi fie d to make it perform as either a binder, a disintegrant, or as a combination of both. Other relationships that fit within this category include:•T he molecular weight and substitution type (structure) of the various grades of hydroxypropyl methylcellulose (hypromellose) is a unique performance characteristic that makes it useful for speci fic types of applications.•T he hydrous or anhydrous forms of excipients can also differ in their formula-tion performance characteristics. For example, the hydrous form of an excipi-ent may compress into harder tablets, whereas the API may be more stable with the anhydrous form.d. P erformance–Properties Relationships :Common tablet and capsule excipi-ents have internal and surface properties that give them desirable mechanical115 7 Quality by Design and the Development of Solid Oral Dosage Formsperformance. Similarly, an API may exhibit different performance characteristics within a formulation. Examples of this type of relationship include:•R elationship between the particle size distribution of the API (property) and the content uniformity of the tablets (performance) in a direct compression formulation.M oisture content (property) and tablet granulation compression performance •to determine the hardness and friability of a tablet.•A cid reaction kinetics (property) that indicate whether a mineral antacid pro-vides rapid or slow acting neutralizing functions.•S tarches, when used in oral dosage forms, stabilizing hygroscopic drugs and protecting them from degradation [10].e. P rocessing–Performance Relationships :The effect of equipment operatingparameters (processing) on the performance of intermediate and fin al drug prod-uct is the processing–performance relationship. Examples of this type of rela-tionship include:•A wet granulation can compensate for dif fic ulties associated with the com-pressibility of certain APIs, providing a means to prepare a robust tablet for-mulation from a poorly compressible API. Conversely, over-processing (in the form of over-mixing a wet granulation) can delay tablet dissolution performance.•S ome fil ling line tubing can absorb preservatives contained in a solution.f. P rocessing–Properties Relationships :The effect of equipment operating param-eters (processing) on the properties of intermediate and fin al drug product is the processing–properties relationship. For example:•D uring wet granulating, the spray rate and mixing speed affects the size, fri-ability, and density properties of the granules.W hen used in a wet granulation, the water-absorbing properties of microcrys-•talline cellulose (MCC) help promote a uniform distribution of water through-out the wet mass, preventing the creation of over-wetted regions. Subsequently, during the wet granulation sizing operation, MCC prevents extrusion and aids in consistent batch-to-batch processing.A s seen in the above examples, information derived from the MST can be invalu-able in helping the formulator predict product performance over a wide range of material attributes, processing options, and processing parameters. Once identi fie d, the relationships between the drug substance, the excipients, the manufacturing pro-cess, the equipment design features, and the operating parameters can be identi fie d in relationship to the performance of the drug product. The contribution of each of these variables to the product CQAs can therefore be described. By showing the relationship between the processing parameters, the excipient properties, and the properties of the intermediate and fin al drug product, the manufacturing scientist can monitor and control the appropriate CPPs.116R. Fahmy et al.7.2.3 P rocess Understanding and Design of ExperimentT he design space and relevant CQAs can be identi fie d through an iterative process of QRM and experimentation. The outcome of these iterations can be used to assess the extent to which each variation will impact the QTPP [11].T raditional pharmaceutical product development uses factorial (full and/or par-tial) statistical designs and response surface methodologies to systematically evalu-ate formulation/process variables and to relate them to product CQAs. These designs provide comprehensive process understanding. As such, they are invaluable for eval-uating the manufacturing process and formulation factors as they in flu ence the QTPP. There are however practical limitations imposed by the exponential increase in the number of experiments needed to address each additional factor. Therefore, the avail-ability of a mechanism for reducing this experimental burden is essential to support the practicality of using this systematic approach within product development [11].W hen developing a product using the QbD, the number of experiments can be optimized through the use of risk methods that identify those variables that need to be studied (i.e., those that present the greatest risk for product failure). To this end, a well-de fin ed design of experiment (DOE) approach to study manufacturing vari-ables provides a mechanism that allows the scientist to reduce the number of experi-mental factors to only those that may signi fic antly in flu ence product quality and performance. Once identi fie d, the effect of each variable can be explored both indi-vidually and in combination through a series of separate experiments.I n general, there are three types of experiments that may be employed: (1) screen-ing experiments to select the critical variables, (2) interaction study for interactions between variables of interest, and (3) optimization study for developing a more carefully planned design space.• Screening experiments are often used to limit the initial number of parameters that need to be studied through the use of existing scienti fic literature and previ-ous experimental outcomes. This narrows the number of variables and attributes for future studies to those recognized as having the greatest potential effect on the CQAs. Screening experiments offer a high-level, global (not in-depth) overview of the formulation variables. As such, they generally require fewer experiments than do interaction or optimization studies. In this regard, models such as central composite design or Plackett–Burman (PB) may appear to share some attributes with factorial experiments. However, PB models cannot describe the importance of speci fic interactions but rather describe the importance of each manufacturing process and formulation variable that can impact the product CQAs.•T he advantage of the PB design is that multiple factors can be screened with rela-tively few trials. The disadvantage of these designs is that interactions between variables cannot be determined. A failure to replicate these interaction studies renders it impossible to readily characterize their inherent variability. Despite these limitations, when a large number of studies are needed to implement a higher resolution factorial design, the PB design can be the more pragmatic solution.• Interaction experiments usually involve fewer factors than do screening studies.As compared to screening studies, interaction studies provide a richer under-standing of the relationships between independent and dependent variables. The presence of a signi fic ant interaction implies that the magnitude of the effect of one of the variables is a function of the “level” of the other. For example, the effect of compression force on dissolution and disintegration can depend on the amount of one or two of the excipients (such as microcrystalline cellulose or magnesium stearate). Interaction studies can be designed as fractional or full factorial experiments.• Optimization studies provide a complete picture of the variables affecting the QTPP. The goal is to limit the number of investigated parameters so that a full factorial design can be used. The results of these optimization studies enable the formulator to estimate the quadratic (or higher order) terms needed for mappinga response surface. In so doing, one can identify the effect of the material CQAsand CPPs on product performance. Maximum and minimum parameter con-straints can be de fin ed, and parameter combinations leading to optimum process and product performance can be identi fie d and included in the design space.Common designs used for optimization studies are Box–Behnken, three-level factorials, or mixture designs. Optimization studies can be performed using scale up or production batches.7.2.4 D esign SpaceO nce process understanding has been demonstrated, the scientist can begin the stud-ies to establish the boundaries of the design space.T he ICH Q8R2 de fin es design space as: “ T he multidimensional combination and interaction of input variables (e.g., material attributes) and process parameters that have been demonstrated to provide assurance of quality. Working within the design space is not considered as a change. Movement out of the design space is consid-ered to be a change and would normally initiate a regulatory post-approval change process. Design space is proposed by the applicant and is subject to regulatory assessment and approval.”T he design space is dependent on formulation, equipment, and batch size. Within a design space there is a region, termed the control space, which is bounded by the upper and/or lower limits for the material CQAs and the CPPs. If the control space is much smaller than the design space, then the process is robust. In other words, if the limits within which a product is manufactured is within the limits where there is no risk of altering product quality and performance, the process presents little risk of product failure. However, when this is not the case, stringent process control may be needed to assure that the product is consistently manufactured within the design space [2]. This is illustrated in Fig. 7.3.。
真空乳化反应 日化
真空乳化反应日化英文回答:Vacuum emulsification reaction is a process widely used in the chemical industry, especially in the production of personal care and cosmetic products. This reaction involves the formation of an emulsion, where two immiscible liquids are dispersed in each other to form a stable mixture. The use of vacuum in this process helps to remove air and other gases from the system, allowing for better emulsionstability and quality.There are several advantages of using vacuum in emulsification reactions. Firstly, it helps to reduce the boiling point of the liquid phase, which allows for the use of lower temperatures during the reaction. This is particularly beneficial for heat-sensitive materials that may degrade or lose their properties at higher temperatures. Secondly, the removal of air and gases from the systemhelps to prevent oxidation and microbial growth, ensuringthe stability and safety of the final product. Vacuum also aids in the removal of volatile components, such as solvents or by-products, from the emulsion.In vacuum emulsification reactions, a vacuum pump is used to create a negative pressure environment. This causes the liquid to boil at a lower temperature, leading to the formation of vapor bubbles. These bubbles disrupt the interface between the two immiscible liquids, promoting the formation of smaller droplets and a more uniform emulsion. The use of a high shear mixer or homogenizer further enhances the emulsification process by breaking down larger droplets into smaller ones.The choice of emulsifier is crucial in vacuum emulsification reactions. An emulsifier is a surface-active agent that helps to stabilize the emulsion by reducing the interfacial tension between the two immiscible liquids. It forms a protective layer around the droplets, preventing their coalescence and maintaining the stability of the emulsion. Commonly used emulsifiers include surfactants, polymers, and lipids.In summary, vacuum emulsification reactions play avital role in the production of various personal care and cosmetic products. The use of vacuum helps to improve emulsion stability, reduce reaction temperatures, remove volatile components, and ensure product safety. Proper selection of emulsifiers and the use of high shear mixing techniques contribute to the successful formation of stable and high-quality emulsions.中文回答:真空乳化反应是化学工业中广泛应用的一种过程,尤其在个人护理和化妆品产品的生产中。
基础胶乳反应工艺流程
基础胶乳反应工艺流程英文回答:The basic latex reaction process is an essential part of the production of various latex-based products, such as paints, adhesives, and coatings. It involves a series of steps that transform the raw materials into a stable and usable latex emulsion.The first step in the process is the preparation of the raw materials. This includes selecting and measuring the appropriate amounts of monomers, initiators, and other additives. For example, in the production of acrylic latex, the monomers used can include butyl acrylate, methyl methacrylate, and styrene. These monomers are mixed with water, surfactants, and stabilizers to create a monomer mixture.Once the monomer mixture is prepared, the next step is to initiate the polymerization reaction. This is typicallydone by adding a water-soluble initiator, such as ammonium persulfate or potassium persulfate, to the monomer mixture. The initiator triggers the reaction and starts the formation of polymer chains.During the polymerization reaction, the monomers undergo a process called emulsion polymerization. This involves the formation of small droplets of monomers dispersed in water. The initiator breaks down into free radicals, which react with the monomers to form polymer chains. These chains grow and eventually combine to form a stable latex emulsion.The polymerization reaction is typically carried out under controlled conditions, such as specific temperature and pH levels. This ensures optimal polymerization and the formation of a high-quality latex emulsion. The reaction is usually conducted in a reactor vessel equipped with agitation and temperature control systems.Once the polymerization is complete, the latex emulsion is cooled and stabilized. Stabilizers, such as non-ionicsurfactants, are added to prevent coagulation and maintain the stability of the emulsion. The emulsion may also undergo further processing steps, such as filtration or centrifugation, to remove any impurities or oversized particles.Finally, the stabilized latex emulsion is ready for further use or can be formulated into specific products. For example, in the production of paints, the latex emulsion can be mixed with pigments, fillers, and other additives to create a paint formulation. The formulation is then applied to a surface and dries to form a protective and decorative coating.中文回答:基础胶乳反应工艺流程是生产各种基于胶乳的产品(如涂料、粘合剂和涂层)的重要步骤。
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Sweetening Lhil-谨化%脱晞醇装置 MDEAMDEA Solvent Regenefatitw Lhit MDEA 濬剂再生装賈MTBEMTBE/1—Buiene Ikiit MTBE/T 烯—1然胃PEPolyethylene Uhit聚乙烯装蚩 POXPartial OxidatfOH部分氣化 PF Polypropylene Uhil .聚丙烯装量PVC Polyvinyf Chloride JE 氯乙烯PX■Para xylene ■対二甲笨■/芳煖瑕合装置. scEthylene Uhrt 乙晞裂ff«B . ....…二汽• 一SRUSulfir Recovery Uhn硫横刮收装豊 ....swsSour Was^R Water Suipper Unn 含硫污水汽提装蓋 SMPUSulfix h^CHjidrriQ Packing Uhit 硫擴成型贬包装装詈UninterrupUbJe Power System不间斯电源系统■.'JI-,741li T * i ■ ■ * u 4Wei Ait Oxidation湿气麵化了嗾渣址理装世 .」Administration building行政楼Air compressor shelter空气压缩机房Berthing ['b?: e i?] dolphins, mooring ['mu ?ri?, 'm?:-] dolphins and catwalks 靠船墩,系缆墩及人行通道BOG compressor蒸发气压缩机 BOG compressor [k ?m'pres ?] shelter蒸发气压缩机房 BOIL OFF GAS [g ?s] (BOG )蒸发气Chemical storage shelter 化学品仓库En glishAir Cooled Chilled Water Co nditio ning Unit Battery LimitDry Bulb [b?lb] TemperatureHigh Sen sitivity Smoke Detectio n System Live nin g-Up NoticeReady For Start-UpSafety In strume nted System-SISVery Early Smoke Detect ion Apparatus [,? p?'reit ?s]First live ning up of the electrical circuits['s?:kit]shunt [??nt] listUpset to operati onal pla ntWork at HeightGrat in gs/Gully CoversJetti ng (HP)Chin ese气冷快速制冷式空调装置边界区干球温度高感烟雾探测系统激活通知开工准备就绪安全仪表系统及时烟雾监测仪器电路的首次通电设备清单对运行设施的不利因素高空作业门窗栅栏或沟槽盖喷射(高压)Punch List Procedure剩余工作清单程序Fire damperCompa nyVen dor ['vend ?:]防火风门公司/业主卖方Pre-commissio ning : 预调试Commissio ning: 调试Fire pan el: 消防控制面板Rain water recovery Rotati ng equipme nt: 雨水收集旋转设备Live nin g-upFactory Accepta nee Test Hazard ['h? z?d] Riskpla ntTurno ver man ager the pig laun chers Orga no gram 工厂验收测试危害/隐患风险工厂、设施项目移交经理清管球发射器组织结构图1. FIare KO drum [dr ?m] 火炬缓冲罐2. Process area 生产区3. Car park buffer ['b ?f?] basin ['beis ?n](停车场缓冲池?).4. Electrical [i'lektrik ?l] Energisation 通电5. Inadequate checkout (检查缺位?)6. Emissions and proximity [pr ?k'simiti] to vents (辐射和接近排放口)6.(废气)排放及放空点周围8. Abrasive [?'breisiv] Wheels 研磨砂轮?9. Preservation Procedure 维修保养程序PSSR 启动前的安评审PSV 压力安全阀QA 质量保证QC E.曰.怒寸丁口1质量管理QRA 风险量化评估RFQ 询问报价RP 建议的做法RPD 防护装备的记录SAT 现场验收SCADA 监测控制和数据采集SCS 安全控制系统SIL 安全完整性程度SIS 安全仪表系统SP 特殊的管道SPIR 可替换备件记录TQ 技术查询UCP 单元控制盘UFD 公辅流程图UHF 超高频UPS 不间断电源VESDA 及时烟雾监测仪器VIP 价值改进的做法VOA 变更命令批准VOR 变更命令要求WAN 广域网WBS 工作分工结构Air Production 空气产量Plant Air Distribution 工厂风分配Tightness Test 气密性测试Blowing of pipelines 管道吹扫Blowing 鼓风(吹扫)Control & Sequence Loops 控制&顺序环路Marked-up P&IDs 作有标识的P&IDto the working environment 对(到)工作环境valves actuators ['? ktjueit ?] 阀门执行机构Screw-oil free 没有丝扣油Carbon Steel epoxy lined. [ep' ?ksi] 内衬环氧树脂碳钢dew point 上露点drying columns ['k ?l?m] 干燥柱regeneration 再生open/close/droppedAs Built P&ID 's竣工或完工P&IDtrip system 跳闸系统以上 作业区域 盲板 管道锚座 栅栏 火气系统 火炬系统容器入口盲板要求 指定容器 预充气设备marked-up box up turno ver dossier INSERVICE STTS discipli ne tool box Com. CMP ESD ITR HSE HV LNG LVMC QC RFSU SUPhere-abovework ing boun daries Bli ndspiping anchors ['??k?] Grati ngsfire and gas system flare system Vessel entry bli nd requireme nts state vessel [’ves?l]Pre-aerating apparatus [,? p?'reit ?s]标识 装箱? 交接文档 投入使用 STTS 科目(工种)工具箱 试运行 试运行阶段 应急关停 检验与测试记录 健康安全与环境 咼压 液化天然气 低压 机械竣工 质量控制 准备开工 开工UPS V ' s Rep W Full Containmentwith Con crete outer Wall a nd RoofPrimary&Secondary Bottom:Loop Check ProcedureMan ageme nt of Chan gesBOG Header 不间断电源 卖方代表 见证双层全容罐(FCCR)主罐底和次罐底或者内罐底和外罐底仪表回路检查变更管理 BOG 总管Tapp ing on Flare header 火炬总管排放口Suction Vent [vent] Tapping 泄放 入口排放口 泄放 临时排放总汇In stall Spool piece at 安装短接spade ring spaceFlare [fl £]?header man access双圈盲板 垫圈 火炬头 通道future pump [p?mp] kick back drain [drein]foot valveBOG Header Pilot ['pail ?t] isolation Suctio n ['s?k??n] ventRing spacer Spade ['speid]MVA = Machi nery Vibratio n An alysis? tran sformer Buckholtz relay data sheet = Power-Up motor ['m ?ut ?] run-in test Secon dary bus duct :[d ?kt]AC 交流电 DC直流电 DP 配电盘 CB 电路断路器 CC 建造完工 ESD 应急关断 ITR 检验和测试记录 JSA 作业安全分析 LNG 液化天然气 LUN 激活通知 LV 低压(低于1KV MC 机械完工 MSDS材料安全数据表N/A不适用 Pre-Com/Com 预调试/试运行 PPE 个人防护用品 PTW 作业许可证 RFSU 准备开工 SLD 单线图 SWG开关装置预留泵[b e ng 回流排放 底阀BOG 总管 点火头隔离 入口排放口 环形垫圈 隔离盲板 机械振动分析变压器Buckholtz 延时数据表 送电电机空车试验 次线母线槽amine [ ?'mi:n, '?min] solution 胺溶液CAS (registrationNo.注册号)一Chemical Abstracts ['?bstr?kt, ?b'str?kt] System 化学文摘体系 Cascade [k?s'keid]reactor 级联反应器 福建一体化项目HP -High Pressure (e.g. nitroge n ['naitr ?d??n]) 高压(如氮气)HVAC- Heat Ventilation [,venti'lei n]Airn. [ 有化 ] 丙醇 千公吨/年职业安全与卫生管理署 Absorber 吸收塔acid feed 酸性进料acid gas 酸性气CCM Compressor^ m'pres ] Co ntrol Man agemen 压缩机控制管理CG Carrier Gas 载气Claus section and RAR section 克劳斯工段和 RA 工段Claus tail gas 克劳斯尾气Copolymer [k ?u'p ? lim ?] reactor 共聚反应器CR-Co ntrol Roor 控制室ELEMENTAL SULPH 元素硫ESD- Emergency Shutdown 紧急停车flue [flu:] gas 烟气 Fujian Integrated Project-Homoreactor- 均相反应器 incinerator [in'sin ?reit ?] 焚烧器 IPA- Iso Propyl ['pr ?up?l] Alcohol (2-Propanol) propanol ['pr ?up?n? l]ISBL- Inside Battery Limit 界区内 KMTA- Thousand metric tons per yearLEL- Lower Explosion Limit 爆炸下限LP- Low Pressure 低压LPG- Liquefied Pressurized Gas 液 化石油气MCC- Motor Control Center 马达控制中心MDEA SOLUTIO 甲基二乙醇胺溶液MFR- Melt Flow RateOSBL- Outside Battery Limit 界区外OSHA- Occupational [, ? kju'pei ? ?n?l] Safety And Health AdministrationPB - Push Button 按钮PDP- Process Design Package X 艺设计包PEL- Personal Exposure Limit 个人接触极限PLC- Programmable Logic Controller 可编程逻辑控制器PSD-Plant Shutdown 装置停工SIS- Safety In strume nted System安全仪表系统Sour Water Stripper 酸性水气提stripper ['strip ?] n. 剥离器;脱模机;[俚]脱衣舞女and S-PLC Safety Programmable Logic Controller 安全可编程逻辑控制器 sulphur recovery unit 硫磺回收单元 SUPERVISORY OPERATING MANUAL 操 作手册TEA- Tri Ethyl ['i : 9 ail, 'e 9i -] Aluminum ?'lju:min ?m]三甲基铝TECHNIP KTI S.p.A.德西尼布KTI 股份有限公司Technip 德西尼布Total Ash 总灰分UEL- Upper Explosion Limit 爆炸上限Ziegler-Natta (catalyst)- Type of polyolefin catalyst, namedafter the scientists Karl Ziegler Giulio Natta 以科学家齐格勒和纳塔命名的一种聚烯烃催化剂buzzwords ['b ?zw?:d] from Party Congress: 构建社会主义和谐社会 to build a harmonious socialist society 中国特色社会主义 socialism with Chinese characteristics 全面建设小康社会 to build a moderately prosperous society in all respects 深入贯彻落实科学发展 thoroughly [' 9 ?r?li, ' 9 ?:r ?u-] apply "Scientific Outlook on Development" 与时俱进 keeping up with the times 民生 people's livelihood 以人为本 putting pple first 软实力 soft powerEcho(675427162) 15:11:36 解放思想,实事求是 emancipate [i'm?nsipeit] the mind, seek truth from facts 资源节约型,环保型社会 resource-conserving, environment-friendly society 全面协调可持续发展 comprehensive, balanced and sustainable development 民主集中制 democratic centralism 社会主义初级阶段 primary stage of socialism 独立创新 independent innovation [,in ?u'vei ? ?n] 工业化, 城镇化, 市场化, 国际化 indusrialization, urbanization, maketization and internationalization Reference Manual 参考手册Rosemount 罗斯蒙特 transmitter 变送器・ ・ ・ 、 卜—-f-_-commissioning 试车 multidrop ['m ?ltidr ? p] 单线多站通信 appendix [?'pendiks] 附录 Return Material Authorization (RMA) 退料审查 differential pressure transmitter 压差变送器 gage pressure transmitter 表压变送器absolute pressure transmitte r 绝压变送器gage and absolute pressure transmit ter 表压与绝压变送器 liquid level transmitter 液位变送器high process temperature pressure transmitter 高过程温度压力变送器 reference class pressure transmitter 参考级压力变送器piezoresistive [pi:,eiz ?ri'zistiv, pai,i:-] 压阻〔现象〕的 Differential Pressure (DP) 差压Gage [ g eid?] Pressure (GP) 表压 Absolute Pressure (AP) 绝压block diagram ['dai ? g r?m]方块图 manifold ['m?nif ?uld] 集管(歧管) electrical [i'lektrik ?l] shock 电击 Canadian Standards Association (CSA 加拿大标准协会基于感应的抗瞬变装置 dimensional drawing 尺寸图 flange 法兰 Coplanar [k ?u'plein ?] flange 共面法兰 Adapter [ ?'d?pt ?] 适配器 Impulse['imp ?ls] piping 脉冲管 Housing 机架 jumper 跨接线 mount 安装 reference side filtering 参考侧过滤 gage [ g eid?] application 量规应用output damping 输出阻尼 housing 机壳 electronics housing 电子设备机壳 zero offset 零点偏移 calibrate 校准 process connection 工艺接口 installation procedure 安装程序 range limit 量程范围 electronics board 电子板 connect wiring and power up 连接配线与 送电 terminal block 接线盒(端子盒)field terminal 现场端子 inductive-based transient['tr?nzi ?nt, -si-, - ? ?nt, 'tr a :n-] protector troublehooting 故障排查grounding 接地 intrinsically safe 本质安全 intrinsic safety 本质安全 non-incendive [in'sendiv] 不引火的 captive screw 系紧螺钉 electronics module 电子组件 integral manifold ['m?nif ?uld] 整体式集管 configuration 配置 hook-up 连接 burst operation 脉冲操作trim 阀内件trim point 平衡点 zero trim 正浮 full trim 满浮 trim procedure 微调程序 sensor trim 传感器内件 recall factory trim 调用工厂调整程序digital-to-analog trim 数字至模拟调整trim analog ['?n ?l ? g ] output 配平模拟输出 process variable 过程变量(工艺变量) configuration data 结构数据 communicator 发信机 rerange 重新量程 full scale 满刻度 transition point 转变点 linear ['lini ?] section 线性部分 local zero 本地零位 engineering units 设计单元( 设计单位) reference side filtering 参考侧面过滤custom meter display 定制表显示 standard display configuration 标准显示配置custom display configuration 定制显示配置decimal ['desim ?l] point 小数点square root 平方根failure mode 失效模式status bit set 状态位组Celsius ['selsi ?s] scale 摄氏刻度Fahrenheit scale 华氏刻度Hart [h a :t] communicator/ Hart 发信机diagnostics [,dai ? Q n ? stik] 诊断loop test 回路试验saving, recalling, and cloning configuration data保存、调用及克隆配置数据burst mode 成组方式line pressure 管路压力zero effect 零效应static line 防静电接地线malfunctioning [m?l'f ?? k? ?ni ? ] 不正常工作fail module 故障组件fail effect 故障效应zero pass 零位通过zero fail 零位失效span pass 量程通过span faill 量程失效ribbon cable 带状电缆checks u m checksum 检查和burst pressure 爆破压力isolating diaphragm ['dai ?fr?m] 隔膜片process fill fluid 工艺填充液体transient ['tr?nzi ?nt, -si-, - ? ?nt, 'tr a :n-] protection 瞬间保护routine test 定期试验 bolt [b ?ult] kit 螺栓套件lead wire 引线dual element 二重元件finished length 最终长度heat shrink [ ? ri ? k] tubing 热缩成型管sensing element 传感件manual supplement 手动补充junction 接点thermocouple [' 0 ?:m?u,k?pl]热电偶approval drawing 审批图rating 额定值direct mount sensor 直接定位安装感应器remote mount sensor 远程安装传感器intent 宗旨span error 量程误差industrial platinum ['pl?tin ?m] resistance thermometer 工业铂电阻温度计interpolation [in,t ?:p?u'lei ? ?n] method 内插法uncertainty 不确定性resistance 电阻liquid bath 熔池calibration [,k?li'brei ? ?n] bath 校准槽temperature calibration ice bath 温度校准冰浴器wilkins resistor [ri'zist ?] 威尔金斯电阻器defect 缺陷acceptance 验收calendar 记录表(日历表)authorized of acceptance [?k'sept ?ns] 核准授权人restamp 重新盖章flanged thermowell [' 0 ?:m?,wel] 法兰连接式热电偶套管material restamping certificate 原料再签章证明书原料接收有效证明书 合格原料鉴定测试检验证书 内压力 染料渗透试验 g 'nei ? ?n ]名称 WARmaterial reception certificate valid positivematerial identification test inspectioncertificate internalpressure dyepenetration testdesignation [,dezi code article 代码条款temperature transmitter 温度变送器pressure transmitter 压力变送器 agency approval certificate 代理核准证明global quality 总体质量 examination certificate 检验证明dual sensor 双联传感器 ambient ['?mbi ?nt] temperature 周围温度(环境温度) conduit ['k ? ndit] entry 导管引入装置 smart temperature transmitter 智能温度变送器 dual sensor 双传感器 sealing device 密封装置 enclosure [in'kl ?u??] 外壳 aperture ['?p ?,tju ?] 孔 blanking element 堵封件routine test 常规测试 static pressure 静压 reference pressure 基准压力 product compliance report 产品合格报告 electronic(s) module 电子模件 fieldbus 现场总线 profibus 剖面总线 certification manager 认证经理 the Dutch Council for Accreditation 荷兰鉴定委员会accredit [ ?'kredit] 鉴定 surface temperature 表面温度 microprocessor 微处理器 ingress ['in g res] 入口处 thin wall 薄壁 marking 标号 junction box 接线箱 instrumentation manual 仪表说明书WAR Fujian Refining and Ethylene ['e 9 ili :n] Project 福建精炼乙烯项目 control valve 控制阀 instrument specification 仪表规格reactor 反应器 carbon slurry ['sl ?:ri, 'sl ?-] 炭泥 actuator 执行机构 piston ['pist ?n] 活塞 bonnte ['b ? nit] 阀帽 bolt [b ?ult] 螺栓 end connection 终端连接 regulator 调节器 solenoid ['s ?ul ?n? id] valve 电磁阀 limit switch 限位开关 hand wheel 手轮 booster ['bu:st ?] 增强器 upstr. [' ?p'stri:m] Pressure 上游压力 solid mass 实体 input signal 输入信号 errata [e'r a :t?] sheet 勘误表内部电子元件现场通讯装置基件 观察装置信息回路图表['si:kw ?ns] 快速键序列 反馈接线 整体盲区pressure differentialpressur edeviati restart control mode 继电器调节 重新启动控制模式 恢复出厂设置digital valve controller 数字阀控制器 quick start 快速起动 nameplate 铭牌acetylene [ ?'setili:n] 乙炔grounding terminal 接地端子 grounding wire 接地线 special instructions 专项说明area re-classification 重新分区 safety barrier 安全屏障 distributing capacitance [k ?'p?sit ?ns] 分布电容 inductance[in'd ?kt ?ns] 电感应系数 connecting cable 连接电缆 conducting system 传导系统 shield cable 屏蔽电缆 core section 铁芯截面 insulation [,insju'lei ? ?n, 'ins ?-] screen 绝缘屏 electro-magnetic interference 电磁干扰 carbon steel 碳钢 OPER. TEMP. 操作温度Fisher control module ['m ? dju:l, -d ?u:l] 费希尔控制组件process management 工艺管理dust explosion 粉尘爆炸 internal electric component field communicator basics viewing device information loop schematics [ski:'m?tik]firmware 固件 fast-key sequence feedback connectionintegral dead zoneintegral limit 积分限制 clear record 清楚记录 lag time 滞后时间shutdown 停机cycle count 循环计数 dead band 死区 descriptor 描述符 drive signal 驱动信号 partial stroke test 局部冲程测试 offline alert 脱机警报failed alert 故障警报menu tree 树型菜单 performance tunor 性能调谐器polling ['p ?uli ? ] address 登记地址 power starvation alert enable 供电不足警报启动 pressure controlactive enable 压力控制有效启动[,dif ?'ren ? ?l] 压差[,di:vi'ei ? ?n] alert point 压力偏差警报点 ['inti g ?l] control enable压力积分控制启动积分压力增益 [?'kju:mjuleit ?] 行程累加器 ['v ?ulti d ?] 基准电压restore factory settingrun time 运行时间drive current shutdown 驱动电流停机[pr ?u'p ? : ? ?n?l] gain[,k?li'brei ? ?n] 运行校准 压力比例增益step response 阶跃响应 dynamic error band 动态误差范围 travel control 行程控制 pressure fallback 压力低效运行input filter 输入滤波器 performa nee diag no sties[,dai ? g n ? stik] 性能诊断hot key 热键 proeedure heading 过程导引 textual format文本格式 interehange multiplexer audio [' ? :di ?u] monitoranalog signal eonverter analog eontrol input eireuitryfluorosilieoneintrinsie tire valve housing terminal模拟控制['s [flu: [in'trinsik,-k充气阀机架(外壳) ['t ?:min ?l] female eonduit ['m ?ltipleks ?] 交换多路转接器 音频监视器模拟信号转换器输入电路:kitri] r'silik un] elastomer [i'l?st ?m?] 氟硅氧烷弹性体 ?l] safety本质安全box 接线盒['k ? ndit] connection 内导管接线travel tuning ['tju:ni ? ] set 行程调节设定 travel velocity [vi'l ? s?ti] gain 运行速度增益stroke valve 冲程阀setup wizard ['wiz ?d] 安装向导 zero powercondition 零功率条件 pressure proportional travel calibrationburst communication 脉冲通信spring elamp 弹簧夹travel span 行程距离immunity performanee 免疫性能eleetrostatie [i,lektr ?'st?tik] diseharge 静电放电 rated power frequeney magnetie field 额定功率频率磁场surge [s ?:d ?] 喘振eondueted RF 导电无线电频率entity ['ent ?ti] rating 实体额定值 temperature eode 温度代码 enelosure rating 外壳额定值 hazardous ['h?z ?d?s] area 危险区rotary aetuator ['?ktjueit ?] 转动装置 aetuator ['?ktjueit ?] n. 执行机构;激励者;促动器wall mounting 墙式(挂壁)安装remote travel sensor ['sens ?, -s ? :] 远程行程传感器 test eonneetion 测试连接eable eapaeitanee [k ?'p?sit ?ns] 电缆电容 bypass ['baip a :s,-p?s] valve 旁通阀 pneumatie [nju:'m?tik] aetuator ['?ktjueit ?] 气动执行机构 load pressure 负荷压力 proteetive elothing 防护罩 bias ['bai ?s] spring 偏置弹簧 alignment [ ?'lainm ?nt] pin 定位销 air to open aetuator 气开式驱动件 eap serew 有头螺钉 plain washer 平垫圈 loek washer 锁紧垫圈 hex [heks] . nut 六角螺母 spaeer ['speis ?] 垫片 flat head 平头 linear ['lini ?] response 线性响应 hex. socket 六角插座 travel indication pin 行程指示钉 travel indicator 行程指示符 mounting plate 安装板 air-to-close actuator 气闭式驱动件 follower 随动机构 hub 集线器 potentiometer [p ?u,ten ? i' ? mit ?] 电位器 hexagon ['heks ?g ?n] head screw 六角头螺丝arm extension 臂延长feedback mechanism ['mek ?niz ?m]反馈机制 yoke [j ?uk] boss 轭轮毂 pneumatic [nju:'m?tik] hookup['huk ?p] 气动连接装置 resistance [ri'zist ?ns] 电阻 resistor [ri'zist ?] 电阻器 navigation [,n?vi' g ei? ?n] key 导航键 enter key 确定键 tab key 制表键 alphanumeric [,?lf ?nju:'merik,-k ?l] key 字母数字键 backlight adjustment key 背光调节键 function key 功能键 soft input panel keyboard 输入软键盘 offline operation 脱机操作 online operation 联机操作 monochrome ['m? n?kr?um] touch screen 单色触摸屏 out of service 不运行single-acting 单动式的overshoot 超程travel target 行程目标algorithm ['?l g?rie ?m] 算法proportional [pr ?u'p ? : ? ?n?l] gain 比例增益default 默认deactivate 消除amplitude 振幅spike [spaik] 尖峰internal voltage ['v ?ultid ?] reference 内电压参考travel target 行程目标actual travel 实际行程increment ['inkrim ?nt] 增量cycle counter 循环计数器travel cutoff 行程停车partial stroke test pressure limit 局部冲程测试压力限制pressure control mode 压力控制模式integrator ['inti g reit ?] 积分仪travel sensor shaft [ ? a ft, ? ?ft]行程感应器轴partial stroke travel 局部冲程行程stroke speed 冲程速度pause time 暂停时间default value 默认值threshold [' 0 re ? h?uld]阈值[y u zh 门burst [b ?:st] mode脉冲串travel calibration [,k?li'brei ? ?n] 行程校准crossover 跨越geometric [d?i ?u'metrik] correction 几何校正hysteresis [,hist ?'ri:sis] 滞后高速可寻址的远程传感current source 电流源actuator ['?ktjueit ?] stem 执行机构输出杆 rotary 'r ?ut ?ri] valve 回转阀 regulator 调节器 external referenee gauge [ g eid?]夕卜部标准量规tapped [t?pt] hole 螺纹孔baek edge 后沿mounting braeket 安装托架analog ['?n ?l? g ] input ealibration 模拟输入校准Digital Valve Controller Operation 数字阀控制器操作HART (Highway Addressable Remote Transdueer [tr?nz'dju :s ?, tr?ns -, tr an]) Host deviee 主机Communieation 通信frequeney shift keying(FSK) 频移键控multidrop ['m ?ltidr ? p] 多点(站)printed wiring board(PWB) 印刷线路板module base 模块基础travel sensor 阀程传感器flapper 阀瓣 flapper ['fl?p ?] . 苍蝇拍;轻佻女子;刚学飞的小禽tire valve 充气阀feedbaek arm 反馈臂polling address 登记地址hardloek 硬块bias ['bai ?s] spring 偏置弹簧three-soeket head serew 三插头螺丝housing 护罩retaining [ri'teini ? ] ring 固定环key 38 键 38proteetive shield 防护罩submodule [s ?b'm? dju :l] 子模 supply port 供应通信口 toueh-up ealibration 触发校准 pressure sensor bosses 压力传感器轮毂 field eommunieator 场通讯器 pipe [paip] plug [pl ?g ] 管塞 flat of the gauge [ g eid?]量规盖板 wire retainer [ri'tein ?] 电线隔离环 mounting braeket ['br?kit] 安装托架 plain washer ['w ? ? ?, 'w ? :-] 平垫圈 eonversion [k ?n'v ?: ? ?n] kits [kit] 替换部件 pipe-away braeket ['br?kit] 管托 trim [trim] 阀内件 whisper ['hwisp ?] 微量 anti-extrusion [ek'stru : ??n] ring 抗挤出环 valve [v?lv] port 阀口 eavitrol 原文是否有误? dust-light 尘光firmware ['f ?:mw £ ?] revision 固件修正lapping ['l?pi ? ] metal seat 搭接头阀门座 paeking follower 密封垫压圈 gasket [' g ?skit] 垫圈 tire valve 充气阀 partial stroke pressure 局部冲程压力 toueh-up travel ealibration [,k?li'brei ? ?n] 触发行程校准split-ring paeking ['p?ki ? ] 开环衬垫spri ng-loaded PTFE V-ring paeki ng 装有弹簧的 PTFE V 形环衬垫(也可能是填料)Table of contents MISCELLANEOUS [,misi'leinj s, 'mis 'leini s] 其他Installation instrument 仪表安装Input module ['m ? dju :l, -d u :l] 输入模块Terminal block ['t ?:min ?l] 端子块Specification 规格Maximum ['m?ksim ?m] Power Dissipation [disi'pei ? ?n] 最大功率消耗 ['v ?ultid ?]range [reind ?] 接通状态电压范围 polarity [p ? u'l?r ?ti] protection 反极性保护数字 I/O 模块On-state voltage Reverse [ri'v ?:s] Digital I/O ModulesWhat this preface ['prefis] contains 序言内容Who should use this manual 手册使用对象 keying 电子锁定Compatible [k ?m'p?t ?bl] match 兼容匹配Electronic [,ilek'tr ? nik] Preventing electrostatic Pulse [p ?ls] test 脉冲测试[i,lektr ?'st?tik] discharge 防静电放电现场接线选项 Field wiring optionsDriving motor ['m ?ut ?] starter 驱动电机起动器HIGH-SEAL live-loaded packing 高密封动荷载衬垫 (也可能是填料) ENVIRO-SEAL live-loaded packing 环境密封动荷载 衬垫(也可能是填料) Seat ring retainer [ri'tein ?] 座圈隔离环 Groove [ g ru :v] pin 槽钉Disk [disk] retainer [ri'tein ?] 圆盘隔离环Post guiding['ga ? d? ? ] 导杆Quick-change trim [trim] 快速更换阀内件Female adaptor 凹适配器Male adaptor [ ?'d?pt ?] 插入式适配器Wiper 擦拭器Composition [,k ? mp?'zi ? ?n] seat 合成座Valve [v?lv] plug [pl ?g ] 阀芯Valve plug guide 阀芯导向装置Easy-e valve 轻便阀Soft-jaw chuck [t ? ?k] 软爪卡盘Whisper trim cage Whisper 阀内件罩Anti-seize lubricant ['lu :brik ?nt] 防卡塞润滑剂Strap [str?p] wrench [rent ? ] 带式扳手 补充词汇:Instrumentation Manual ['m?nju ?l] 仪表手册Wet Air Regeneration [ri,d ?en?'rei ? ?n, ri :-] System 湿空气再生系统目录Instrument index ['indeks] 仪表索引Pressure instrument 压力仪表Temperature instrument 温度仪表Control valves [v?lv] 控制阀Control panel 控制盘Backplane ['b?k,plein] current ['k ?r ?nt] 背板电流 Flow instrument 流量仪Level instrument 液位仪Sizing chart [t ? a t]尺寸图Control bus connection 控制总线连接Catalog ['k?t ?l ? q code [k ?ud]样本编号Rack [r?k] connection 机架连接Multicast ['m ?ltik a :st, -k?st] 多点传送Power loss detection [di'tek ? ?n] 功率损耗检测Open wire 明线Diagnostic [,dai ?q'n ? stik] latch [l?t ? ] 诊断锁闭Real-time control 实时控制Conserving bandwidth ['b?ndwid 保留带宽Connector pin 连接器插头Dynamic reconfiguration [ri:k ?n,fi q?'rei ? ?n, - q ju?-] 动态重置Usage ['ju:zid ?] tip 使用小窍门Software configurable [k ?n'fig ?r?bl] 兼容软件Interface module 接口模块Bounce [bauns] time 回跳时间Isolation voltage ['v ?ultid ?] 绝缘电压Storage temperature 存放温度Screw [skru:] torque [t ? :k] 螺旋扭矩Relative humidity 相对湿度Vibration [vai'brei ? ?n] 振动Shock 冲击Emission 排放Immunity [i'mju:n ?ti] 抗扰性Automation [, ? :t ?'mei ? ?n] support 自动化支持Notes 注解Isolated analog ['?n ?l ? q] voltage ['v ?ultid ?] 绝缘模拟电压Module component 模块组件Module scan [sk?n time 模块扫描时间Conversion method 转换方法(可能是换算方法)Filed wiring arm and housing 现场接线支架和外壳Input offset [, ? f'set, , ? :-, ' ? fset, ' ? :-] drift 输入补偿漂移Channel to channel 信道间Sample rate 抽样率Module identification and status information 模块标识和状态信息Remote chassis [' ? ?si] 远程底盘Data format ['f ? :m?t] 数据格式Timestamping function 时标功能Notch [n ? t? ] filter 节点过滤器Field side circuit ['s ?:kit] diagram ['dai ?g r?m现场电路图Sensor ['sens ?, -s ? :] type 传感器类型Cold junction compensation 冷连接补偿Improved module accuracy 改进模块精确度Data echo ['ek ?u] 数据响应Grounded end 接地端Ungrounded end 未接地端Thermocouple [' 0 ?:m?u,k ?pl] module 热电偶模块Downloading new configuration [k ?n,fi g ju'rei ? ?n] data 下载新配置数据Calibrating ['k?l ?,bret] 校准Ladder logic 梯形逻辑Run time service 运行时间服务Integer ['intid ??] mode tag 整数模式标志Gain drift 增益漂移Channel status word bits 信道状态字节Floating point mode 浮点模式Source current loop [lu:p] input module 源电流回路输入模块Digital filter [filt ?]数字过滤器Process alarm 工艺报警Rate alarm 比率报警Wire off detection 接线断开检测Temperature measuring modules 温度测量模块Disabling [d ? s'eb!] keying 解除锁定Removal and insertion under power 通电状态下取下和插入Initialization [i,ni ? ?lai'zei ? ?n, -li'z-] 初始化Retrieving [r ? 'triv] module identification 检索模块标识Assemble 装配Server functional specification 服务器功能规格Setting up the module 安装模块User data object 用户数据对象Event command data 事件指令数据Client driver 客户机程序驱动器Command list 指令表Configuration [k ?n,fi g ju'rei ? ?n] file 配置文件Main routine [ru:'ti:n] 主程序Write data 写入数据Read data 读取数据Upload 上载(上传)Download 下载LED status indicator LED 状态指示灯Database view 数据库视图General warranty policy 通用保证条款Limitation of liability 责任范围Data flow 数据流Support ,service & warranty ['w? r?nti, 'w ? :-] 支持、服务和保证Mounting position 安装位置Connecting cable 连接电缆Commissioning manual 调试手册Network topologies 网络布局Product characteristics 产品特征Installation and maintenance 安装和维护References 参考Dimension drawings 尺寸图Wall mounting 挂壁安装Standard rail 标准轨道Grounding 接地Area of application 应用范围Installation guidelines 安装指南Conformity [k ?n'f ? :miti] certificates 合格证明Uninstalling [, ?nin'st ? :l] 卸载Attachment [ ?'t?t ? m?nt] 附件Validity 有效性Redundancy[ri'd ?nd?nsi] 冗余Customized ['k ?st ?m,a? z] suppression [s ?'pre ? ?n] system 定制抑制系统Surge [s ?:d?] suppressor [s ?'pres ?] 电涌抑制器Drain [drein] wire 加蔽线Spring clamp [kl?mp] 弹簧夹Indicator ['indikeit ?] 指示灯Display 显示Resolution [,rez ?'lu: ? ?n, -,lju:-] 分辨率Input impedance [im'pi:d ?ns] 输入阻抗Over voltage ['v ?ultid ?] protection 过压保护Settling time 处理时间(有时可能是沉淀时间)Common mode[m?ud] noise 共模噪声Screwdriver ['skru:,draiv ?] 螺丝起子Hazardous ['h?z ?d?s] location 危险区域Trigger event 触发事件Default [di'f ? :lt] configuration 缺省配置Serial number 序列号Text string 文本串Description 说明Fault reporting 故障报告Temperature unit 温度装置Step response time 阶跃响应时间Frequency 频率Deadband 静带Thermal [' 0 ?:m?l] dissipation [disi'pei ? ?n]散热Rate limit 速率限制Auto polarity [p ?u'l?r ?ti] exchange 自动极性交换Holding register 存储寄存器Data definition [,difi'ni ? ?n] 数据定义Main menu 主菜单Processor ['pr ?uses ?, 'pr ? -] memory 处理器存储器Block transfer 成组传送Technical specification 技术规范Connector pinout 连接器引出线Response 响应Formatted ['f ? :m?t] 格式化Command control 指令控制Single phase [feiz] units 单相装置Three phase units 三相装置Operating [' ? p?reiti ? ] life 工作寿命(器件的)Absorber [ ?b's ? :b ?] 吸收塔acid ['?sid] feed 酸性进料acid gas 酸性气amine [ ?'mi:n, '?min] solution 胺溶液CAS(registration [,red ?i'strei ? ?n] No.注册号)一Chemical Abstracts ['?bstr?kt, ?b'str?kt] System 化学文摘体系Cascade [k?s'keid] reactor 级联反应器CCM Compressor[k?m'pres ?] Co ntrol Man agemen压缩机控制管理CG Carrier Gas载气Claus [klaus] section and RAR section 克劳斯工段和RA工段Claus tail gas 克劳斯尾气Copolymer [k ?u'p ? lim ?] reactor 共聚反应器CR-Control Roor控制室ELEMENTAL SULPH['U s R?lf ?]元素硫ESD- Emergency Shutdown紧急停车flue [flu:] gas 烟气Fujian Integrated ['inti g reitid] Project-福建一体化项目Homo['h ?um?u] reactor- 均相反应器HP -High Pressure (e.g. nitrogen) 高压(如氮气)HVAC- Heat Ventilation [,venti'lei ? ?n] Air Conditioning 暖通空调incinerator [in'sin ?reit ?] 焚烧器IPA- Iso Propyl Alcohol (2-Propanol 'pr ?up?n? l] ) [有化] 丙醇propyl ['pr ?up?l] n. 丙基;丙烷基ISBL- Inside Battery Limit 界区内KMTA- Thousand metric ['metrik] tons per year 千公吨/年metric ['metrik] adj. 公制的;米制的;公尺的n. 度量标准LEL- Lower Explosion Limit 爆炸下限LP- Low Pressure ['pre ? ?]低压LPG- Liquefied ['likwifaid] Pressurized ['pre ? ?raizd] Gas液化石油气MCC- Motor ['m ?ut?] Control Center 马达控制中心MDEA SOLUTIO甲基二乙醇胺溶液。
SYBR Green JumpStart Taq ReadyMix 产品说明书
SYBR®Green JumpStart™Taq ReadyMix™Catalog Number S4438Storage Temperature –20°CTECHNICAL BULLETINProduct DescriptionSYBR Green JumpStart Taq ReadyMix combines the performance enhancements of JumpStart Taq antibody for hot start PCR with SYBR Green I and the convenience of an easy-to-use ReadyMix solution. Since the ReadyMix solution includes a fluorescent dye and the reagents for PCR, this is the ideal solution for performing high-throughput quantitative PCR. This ready-to-use mixture of SYBR Green I, JumpStart Taq DNA polymerase, 99% pure deoxynucleotides and reaction buffer is provided in a 2×concentrate for ease of use. Simply add 25 µL of the 2×mix to DNA template, primers and water. The JumpStart Taq antibody inactivates the DNA polymerase at room temperature. When the temperature is raised above 70°C in the first denaturation step of the cycling process, the complex dissociates and the polymerase becomes fully active. There are no special preparation or protocol changes required to activate this hot start.Features• The perfect ReadyMix for high throughput, quantitative PCR applications.• SYBR Green I is ideal for quantifying any DNA sequence.1The dye binds to double-strandedDNA and detection is monitored by measuring the increase in fluorescence throughout cycling.• The hot start mechanism, using JumpStart Taq antibody, prevents non-specific product formation and allows assembled PCR reactions to be placed at room temperature up to 2 hours withoutcompromising performance.• Internal Reference Dye is provided for reaction normalization. Maximum excitation of this dye is586 nm and maximum emission is 605 nm.• When performing large numbers of PCR reactions, the SYBR Green JumpStart Taq ReadyMix cansave a significant amount of preparation time,reduce the risk of contamination from multiplepipetting steps, and provide consistent batch-to-batch and reaction-to-reaction performance.ReagentsSufficient for 100 or 500 PCR reactions (50 µL reaction volume)• SYBR Green JumpStart Taq ReadyMix, Catalog Number S9939, containing 20 mM Tris-HCl, pH8.3, 100mM KCl, 7mM MgCl2, 0.4mM eachdNTP (dATP, dCTP, dGTP, TTP), stabilizers,0.05unit/µl Taq DNA Polymerase, JumpStart Taqantibody, and SYBR Green I.• Internal Reference Dye, Catalog Number R4526, 100×dye. Provided in a 0.3 ml vial.Materials and Reagents Required but not Provided • Water, PCR reagent, Catalog Number W1754• Primers• DNA template• Thermal cycler for quantitative PCRStorage/StabilitySYBR Green JumpStart Taq ReadyMix can be stored at 2-8°C for up to 3 months; there is no waiting for the reaction components to thaw. It can also be stored at –20 °C for up to one year. There was no detectable loss of performance after 10 freeze-thaw cycles. Precautions and DisclaimerThis product is for R&D use only, not for drug, household, or other uses. Please consult the Material Safety Data Sheet for information regarding hazards and safe handling practices.2Preliminary ConsiderationsDNA PreparationThe single most important step in assuring success with PCR is high quality DNA preparation. Integrity and purity of DNA template is essential. Quantitative PCR involves multiple rounds of enzymatic reactions and is therefore more sensitive to impurities such as proteins, phenol/chloroform, salts, EDTA, and other chemical solvents. Contaminants can also interfere with fluorescence detection. The ratio of absorbance values at 260 nm and 280 nm gives an estimate of DNA purity. Pure DNA has an A260/A280ratio of 1.8-2.0. Lower ratios indicate the presence of contaminants such as proteins.Primer DesignSpecific primers for PCR should be designed with the aid of primer design software to eliminate the complications introduced with primer-dimers and secondary structures. Lower primer concentrations decrease the accumulation of primer-dimer formation and nonspecific product formation, which is critical in using SYBR Green I dye in quantitative PCR. Magnesium ConcentrationLower magnesium chloride concentrations usually result in the formation of fewer nonspecific products. The ReadyMix solution is provided at a 2×concentration of 7 mM magnesium chloride (final concentration 3.5 mM). A vial of a 25 mM magnesium chloride solution is provided for further optimization of the final magnesium chloride concentration if necessary.Internal Reference DyeA vial of internal reference dye is included for reaction normalization. Maximum excitation of this dye is586nm and maximum emission is 605 nm. Standard instrument settings for ROX reference dye are satisfactory for the measurement of the internal reference dye. This internal reference dye is necessary for ABI Sequence Detection Systems. ControlsA positive control is always helpful to make sure all of the kit components are working properly. A negative control is necessary to determine if contamination is present. A signal in the no template control demonstrates the presence of DNA contamination or primer dimer formation. See Lovatt, et al.,for a thorough discussion of qPCR controls.3Data AnalysisFollow the recommendations of the real time instrument manufacturer to perform quantitative PCR using SYBR Green I dye. Generally, the log of relative fluorescence is plotted against the number of cycles to determine the threshold cycle (C t) or crossing point. The C t value is used to determine the amount of template in each sample. Consider the following points when determining the C t:• C t is the first detectable increase in fluorescence due to PCR product formation• Cycles before the C t are the baseline cycles• The threshold can be adjusted manually• Threshold should always be set using alogarithmic amplification plot• Threshold should be set in the most exponential phase of the reaction, not after reaching theplateau.Melting CurvesPerforming a melting curve analysis at the end of the run will help analyze only the PCR product. Follow the real time instrument manufacturer’s instructions for melting curve analysis. After running a melting curve, any additional runs involving the same PCR product can be done with data collected in an additional detection step to eliminate primer-dimer and other misprimed product signal.Methods of QuantificationStandard CurvesStandard curves are necessary for both absolute and relative quantification. When generating standard curves, different concentrations of DNA (typically five) should be used to generate a standard curve that will bracket the concentration of the unknown. Each concentration should be run in duplicate.Absolute and Relative QuantificationThis product may be used to quantify target DNA using either absolute or relative quantification. Absolute quantification techniques are used to determine the amount of target DNA in the initial sample, while relative quantification determines the ratio between the amount of target DNA and a reference amplicon. The ideal reference amplicon would have invariant, constitutive expression. In practice, a housekeeping gene is chosen for this function, but there are other reference choices which better adhere to the above requirements.43Absolute quantification uses external standards to determine the absolute amount of target nucleic acid. These external standards contain sequences that are the same as the target sequence or which vary only slightly from the target sequence. The primer binding sites of the external standards are always identical to the target sequence. The similarity between the external standard sequence and the target sequence is necessary for amplification efficiencies between the two to be essentially equivalent. Equivalent amplification efficiencies between the target and external standard are necessary for absolute quantification. A standard curve of external standard dilutions is generated and used to determine the concentrations of unknown target samples.Relative quantification calculates the ratio between the amount of target template and a reference template in a sample. The relative amount of gene expression is a common application for relative quantification. The reference gene, usually a housekeeping gene, must not vary in concentration in different experimental conditions or tissue states for relative quantification to be possible. Amplification of the target and reference template dilutions in the sample should be performed in separate tubes. SYBR Green PCR quantification does not allow for multiplexing. If the reference template and the target template have different amplification efficiencies, then two standard curves need to be generated. The ratio of the resulting amounts of target and reference in the sample of interest can then be determined from these two standard curves. If the reference template and the target template have very similar amplification efficiencies, then only one standard curve for the reference template needs to be generated to determine the ratio of the amounts of target and reference in the sample.Determination of PCR Reaction EfficienciesThe PCR efficiency between a reference sample and a target sample is determined by preparing a dilution series for each target. The C t values from either the reference or target is then subtracted from the other. The difference in C t values is then plotted against the log of the template amount. If the resulting slope of the straight line is less than 0.1, the amplification efficiencies are similar.References1.Morrison, T. B., et al., Quantification of Low-CopyTranscripts by Continuous SYBR®Green IMonitoring during Amplification. BioTechniques,24: 954-962 (1998).2.Sambrook, J. et al. Molecular Cloning: A.Laboratory Manual, Third Edition, Cold SpringHarbor Laboratory Press, New York (2000).Catalog Number M82653.Lovatt, A., et al., Validation of Quantitative PCRAssays, BioPharm., March 2002, p.22-32.4.Bustin, S. A., Quantification of mRNA using real-time reverse transcription PCR (RT-PCR): trends and problems, J. Mol. Endocrinol. 29, 23-9 (2002)4ProcedureNote:Because SYBR Green I binds to all double-stranded DNA, it is important to test primers and cycling conditions to insure that the PCR product is a single band, or the results will be uninterpretable. It is best to insure PCR specificity by checking the reaction on a normal (non-quantitative) thermocycler and analyzing the result using agarose gel separation.2For best results, optimal concentrations of primers, MgCl2,KCl and PCR adjuncts need to be determined. Testing various combinations of primer concentrations (50-1000 nM) is most efficient for primer optimization. If maximum sensitivity is not required and your PCR target is abundant, satisfactory results for SYBR Green based qPCR are often obtained with final concentrations of both primers 200-400 nM.The following procedure serves as a guideline to establish optimal primer concentrations. Further optimization may be necessary due to primer specificity. For more optimization information, please read the qPCR user guide available online at.Note:The use of up to 5% (v/v) dimethyl sulfoxide (DMSO) will not disturb the enzyme-antibody complex. Other co-solvents, solutes (salts) and extremes in pH or other reaction conditions may reduce the affinity of the JumpStart Taq antibody for the Taq polymerase and thereby compromise its effectiveness.A. Optimizing Primer Concentrations1.Prepare and dispense diluted primers (Fig 1).a.Prepare 60 µL of8 µM working solutions of bothforward (fwd) and reverse (rev) primers in the first tubes of 2 separate 8-tube strips.b.Dispense 30 µL of water into tubes 2-5.c.Transfer 30 µL of the 8 µM primer solution fromtube 1 into tube 2. Mix thoroughly by pipetting upand down at least 5 times.d.Repeat transfer and mixing from tube 2 to 3, 3 to4, and 4 to 5.ing a multichannel pipettor, transfer 5 µL fromthe strip-tubes containing diluted fwd primer intothe first 5 wells down columns 1-5 of a 96-wellPCR plate. After adding fwd primer, PCR mix and template, final concentrations of fwd primer will be 1000, 500, 250, 125, 62.5 nM.f.Similarly transfer 5 µL from the strip-tubescontaining diluted rev primer into the first 5 wellsacross rows A-E. After adding PCR mix andtemplate, final concentrations of rev primer will be 1000, 500, 250, 125 and 62.5 nMFig 1: Follow steps 1a –1f using diagram above2.Prepare qPCR master mix:Add reagents below in an appropriate sized DNase-free tube. Mix gently by vortexing and brieflycentrifuge to collect all components at the bottom ofthe tube.*Use 0.1x for ABI 7500 and Stratagene instruments;replace with FITC for BioRad iCycler.3.Aliquot 26 µL master mix into all wells in the PCRplate that contain primers (A1-E5)4.Mix Thoroughly and transfer 18 µL from each ofwells A1 through E5 to wells A8 through E12.ab-d. Dilute fwd primers b-d. Dilute rev primers55.Add 2 µL template DNA (10-50 ng genomic DNAor 0.1-1 ng plasmid) to one set of reactions(columns 1-5) and 2 µL of water to the othercolumns (8-12).6.Mix gently by vortexing and briefly centrifuge tocollect all components at the bottom of the tube. 7.Perform Thermal cycling:Optimal cycling parameters vary with primerdesign and thermal cycler. Consult your thermalcycler manual. It may be necessary to optimizethe cycling parameters to achieve maximumproduct yield and/or quality.Typical cycling parameters for 100 bp –600bp fragments:This protocol has been successfully tested on the following thermal cyclers: Stratagene MX 3000P, BioRad iCycler, MJ Opticon and ABI 7700.8.Evaluate fluorescence plots (∆Rn) for reactionscontaining target nucleic acid (columns 1-5).Primer combinations with the lowest C t and thehighest fluorescence will give the most sensitiveand reproducible assays. B. Procedure for Routine Analysis1.Preparation of a reaction master mix is highlyrecommended to give best reproducibility. Mix all reagents but template in a common mix, using~10% more than needed. Once template isdiluted into the reaction vessel, master mix isaliquoted into the proper tube or plate forthermocycling.* Volume for 50 µL reaction, however component volumes may be scaled to give the desired reaction volumes.** Use 0.1x for ABI 7500 and Stratagene instruments; replace with FITC for BioRad iCycler.2.Mix gently by vortexing and briefly centrifuge tocollect all components at the bottom of the tube.3.Perform Thermal cyclingTypical cycling parameters for 100 bp –600bp6Troubleshooting Guide7NOTICE TO PURCHASER: LIMITED LICENSEUse of this product is covered by one or more of the following US patents and corresponding patent claims outside the US: 5,994,056 and 6,171,785.. The purchase of this product includes a limited, non-transferable immunity from suit under the foregoing patent claims for using only this amount of product for the purchaser’s own internal research. No right under any other patent claim (such as apparatus or system claims in US Patent No. 6,814,934) and no right to perform commercial services of any kind, including without limitation reporting the results of purchaser's activities for a fee or other commercial consideration, is conveyed expressly, by implication, or by estoppel. This product is for research use only. Diagnostic uses under Roche patents require a separate license from Roche. Further information on purchasing licenses may be obtained by contacting the Director of Licensing, Applied Biosystems, 850 Lincoln Centre Drive, Foster City, California 94404, USA.SYBR is a registered trademark of Molecular Probes, Inc.JumpStart and ReadyMix are trademarks of Sigma-Aldrich Biotechnology LP and Sigma-Aldrich Co.AH,RS,PHC 08/10-1Sigma brand products are sold through Sigma-Aldrich, Inc.Sigma-Aldrich, Inc. warrants that its products conform to the information contained in this and other Sigma-Aldrich publications. Purchaser must determine the suitability of the product(s) for their particular use. Additional terms and conditions may apply.Please see reverse side of the invoice or packing slip.。
工艺放大过程中需要考虑事项列表processscaleupconsiderationchecklist.
Process scale up consideration check list工艺放大需要考虑的因素清单1. purpose 目的:This list is a compilation of the thoughts of the process engineering group. Its purpose is to share ideas from the group with all in an attempt to use the best collective thinking to improve the success of scale up of the process from lab to pilot plant. This does not consider improvements that may be made to the process by changing operations in the process.这个清单是工艺组的思想汇总。
它的目的是通过收集组内最好的思想来提高从实验室到中试车间放大的成功率。
这个清单不考虑通过改变工艺的操作的提高。
2. general discussion: 总论No check list will allow the engineer to successfully scale up the lab process without doing the detailed considerations.如果不做详细的考虑,没有一个检查清单可以使得工程师将实验室的工艺成功的放大。
An all inclusive checklist might have two questions:所有包含的清单可能有两个问题:- have all important effects been considered? 所有重要影响因数是否已经被考虑到?- will the conditions of the demonstration run be reproduced well enough in the pilotplant for a successful run. 描述的条件在中试车间中是否能够成功的生产出来?If the answers to both of these is “Y es”, the scale up should be successful.如果这两个回答都是“是”,放大时成功的。
USP88生物实验
88 BIOLOGICAL REACTIVITY TESTS, IN VIVOThe following tests are designed to determine the biological response of animals to elastomerics, plastics, and other polymeric material with direct or indirect patient contact, or by the injection of specific extracts prepared from the material under test. It is essential to make available the specific surface area for extraction. When the surface area of the specimen cannot be determined, use 0.1 g of elastomer or 0.2 g of plastic or other material for every mL of extraction fluid. Also, it is essential to exercise care in the preparation of the materials to be injected or instilled to prevent contamination with microorganisms and other foreign matter. Three tests are described. The Systemic Injection Test and the Intracutaneous Test are used for elastomeric materials, especially to elastomeric closures for which the appropriate Biological Reactivity Tests, In Vitro 87 have indicated significant biological reactivity. These two tests are used for plastics and other polymers, in addition to a third test, the Implantation Test, to test the suitability of these materials intended for use in fabricating containers and accessories thereto, for use in parenteral preparations, and for use in medical devices, implants, and other systems.These three tests are applied to materials or medical devices, if there is a need for classification of plastics and other polymers based on in vivo biological reactivity testing.For the purpose of this chapter, these definitions apply: the Sample is the specimen under test or an extract prepared from such a specimen. A Blank consists of the same quantity of the same extracting medium that is used for the extraction of the specimen under test, treated in the same manner as the extracting medium containing the specimen under test. A Negative Control1is a specimen that gives no reaction under the conditions of the test.CLASSIFICATION OF PLASTICSSix Plastic Classes are defined (see Table 1). This classification is based on responses to a series of in vivo tests for which extracts, materials, and routes of administration are specified. These tests are directly related to the intended end-use of the plastic articles. The choice of extractants is representative of the vehicles in preparations with which the plastics are likely to be in contact. The Table 1 classification facilitates communication among suppliers, users, and manufacturers of plastics by summarizing the tests to be performed for containers for injections and medical devices if a need for classification exists.Table 1. Classification of PlasticsPlastic Classes a Tests to be ConductedI II III IV V VI Test Material Animal Dose Procedure bx x x x x x Extract ofSample inSodiumChlorideInjection Mouse 50 mL/kg A (IV)x x x x x x RabbitorGuineaPig0.2 mL/animalat each of 10 or 6sites B (IC)x x x x x Extract ofSample in 1 in20 Solution ofAlcohol inSodiumChlorideInjection Mouse 50 mL/kg A (IP)x x x x x RabbitorGuineaPig0.2 mL/animalat each of 10 or 6sites B (IC)x x xExtract ofSample inPolyethyleneGlycol 400Mouse 10 g/kg A (IP)x x RabbitorGuineaPig0.2 mL/animalat each of 10 or 6sites B (IC)x x x xExtract ofSample inVegetable Oil Mouse 50 mL/kg A (IP)x x x RabbitorGuineaPig0.2 mL/animalat each of 10 or 6sites B (IC)Plastic Classes a Tests to be ConductedI II III IV V VI Test Material Animal Dose Procedure bx x Implant stripsof Sample Rabbit 4 strips/animal Cx x Implant Sample Rat 2 Samples/animal Ca Tests required for each class are indicated by “x” in appropriate columns.b Legend: A (IP)—Systemic Injection Test (intraperitoneal); B (IC)—Intracutaneous Test (intracutaneous); C—Implantation Test (intramuscular or subcutaneous implantation).With the exception of the Implantation Test, the procedures are based on the use of extracts that, depending on the heat resistance of the material, are prepared at one of three standard temperatures: 50, 70, and 121. Therefore, the class designation of a plastic must be accompanied by an indication of the temperature of extraction (e.g., IV-121, which represents a class IV plastic extracted at 121, or I-50, which represents a class I plastic extracted at 50).Plastics may be classified as USP Plastic Classes I–VI only on the basis of the response criteria prescribed in Table 1.This classification does not apply to plastics that are intended for use as containers for oral or topical products, or that may be used as an integral part of a drug formulation. Table 1 does not apply to natural elastomers, which are to be tested in Sodium Chloride Injection and vegetable oils only.The Systemic Injection Test and the Intracutaneous Test are designed to determine the systemic and local, respectively, biological responses of animals to plastics and other polymers by the single-dose injection of specific extracts prepared from a Sample. The Implantation Test is designed to evaluate the reaction of living tissue to the plastic and other polymers by the implantation of the Sample itself into animal tissue. Theproper preparation and placement of the specimens under aseptic conditions are important in the conduct of the Implantation Test. These tests are designed for application to plastics and other polymers in the condition in which they are used. If the material is to be exposed to any cleansing or sterilization process prior to its end-use, then the tests are to be conducted on a Sample prepared from a specimen preconditioned by the same processing.Factors such as material composition, processing and cleaning procedures, contacting media, inks, adhesives, absorption, adsorption and permeability of preservatives, and conditions of storage may also affect the suitability of a material for a specific use. Evaluation of such factors should be made by appropriate additional specific tests to determine the suitability of a material for its intended use.USP R EFERENCE S TANDARDS 11—USP High-Density Polyethylene RS.Extracting Media—SODIUM CHLORIDE INJECTION (see monograph). Use Sodium Chloride Injection containing 0.9% of NaCl.1 IN 20 SOLUTION OF ALCOHOL IN SODIUM CHLORIDE INJECTION.POLYETHYLENE GLYCOL 400 (see monograph).VEGETABLE OIL— Use freshly refined Sesame Oil (see monograph) or Cottonseed Oil (see monograph) or other suitable vegetable oils.DRUG PRODUCT VEHICLE (where applicable).WATER FOR INJECTION (see monograph).NOTE—The Sesame Oil or Cottonseed Oil or other suitable vegetable oil meets the following additional requirements. Obtain, if possible, freshly refined oil. Use three properly prepared animals, and inject the oil intracutaneously in a dose of 0.2 mL into each of 10 sites per animal, and observe the animals at 24, 48, and 72 h following injection. Rate the observations at each site on the numerical scale indicated inTable 2. For the 3 rabbits or guinea pigs (30 or 18 injection sites), at any observation time, the average response for erythema is not greater than 0.5 and for edema is not greater than 1.0, and no site shows a tissue reaction larger than 10 mm in overall diameter. The residue of oil at the injection site should not be misinterpreted as edema. Edematous tissue blanches when gentle pressure is applied.Table 2. Evaluation of Skin Reactions aErythema and Eschar Formation ScoreNo erythema 0 Very slight erythema (barely perceptible) 1 Well-defined erythema 2 Moderate to severe erythema 3 Severe erythema (beet-redness) to slight eschar formation(injuries in depth) 4 Edema Formation b ScoreNo edema 0 Very slight edema (barely perceptible) 1 Slight edema (edges of area well defined by definite raising) 2 Moderate edema (raised approximately1 mm) 3 Severe edema (raised more than 1 mm and extending beyond the areaofexposure) 4a Draize JH, Woodward G, Calvery HO. Methods for the study of irritation and toxicity of substances applied topically to the skin and mucous membranes. J Pharmacol Exp Ther 1944;82:377–390.b Excludes noninflammatory (mechanical) edema from the blank or extraction fluid.Apparatus— The apparatus for the tests includes the following. AUTOCLAVE— Use an autoclave capable of maintaining a temperature of 121 ± 2.0, equipped with a thermometer, a pressure gauge, a vent cock, a rack adequate to accommodate the test containers above the water level, and a water cooling system that will allow for cooling of the test containers to about, but not below, 20 immediately following the heating cycle.OVEN— Use an oven, preferably a forced-circulation model, that will maintain operating temperatures of 50 or 70 within ±2. EXTRACTION CONTAINERS— Use only containers, such as ampuls or screw-cap culture test tubes, of Type I glass. If used, culture test tubes are closed with screw caps having suitable elastomeric liners. The exposed surface of the elastomeric liner is completely protected with an inert solid disk 0.05–0.075 mm in thickness. A suitable disk may be fabricated from a polytef resin.Preparation of Apparatus— Cleanse all glassware thoroughly with chromic acid cleansing mixture, or if necessary, with hot nitric acid, followed by prolonged rinsing with water. Clean cutting utensils by an appropriate method (e.g., successive cleaning with acetone and methylene chloride) prior to use in subdividing a specimen. Clean all other equipment by thorough scrubbing with a suitable detergent and prolonged rinsing with water.Render containers and equipment used for extraction, and in transfer and administration of test material, sterile and dry by a suitable process. [NOTE—If ethylene oxide is used as the sterilizing agent, allow adequate time for complete degassing. ]Procedure—PREPARATION OF SAMPLE— Both the Systemic Injection Test and the Intracutaneous Test may be performed using the same extract, if desired, or separate extracts may be made for each test. Select and subdivide into portions a Sample of the size indicated in Table 3. Remove particulate matter, such as lint and free particles, by treating each subdivided Sample or Negative Control as follows. Place the Sample into a clean, glass-stoppered, 100-mL graduated cylinder of Type I glass, and add about 70 mL of Water for Injection. Agitate for about 30 s, and drain off thewater. Repeat this step, and dry those pieces prepared for the extraction with Vegetable Oil in an oven at a temperature not exceeding 50. [NOTE —Do not clean the Sample with a dry or wet cloth or by rinsing or washing with an organic solvent, surfactant, etc. ]Table 3. Surface Area of Specimen To Be Used aForm ofMaterial Thickness Amount of Sample for each20 mL of Extracting Medium Subdivided intoFilm or sheet <0.5 mm Equivalent of 120 cm2totalsurface area (both sidescombined)Strips of about5 × 0.3 cm0.5–1 mm Equivalent of 60 cm2 total surface area (both sides combined)Tubing <0.5 mm(wall)Length (in cm) = 120cm2/(sum of ID and ODcircumferences)Sections ofabout5 × 0.3 cm0.5–1 mm(wall)Length (in cm) = 60 cm2/(sumof ID and ODcircumferences)Slabs, tubing,and moldeditems >1 mm Equivalent of 60 cm2 totalsurface area (all exposedsurfaces combined)Pieces up toabout 5 × 0.3cmElastomers >1 mm Equivalent of 25 cm2 totalsurface area (all exposedsurfaces combined) Do not subdivide ba When surface area cannot be determined due to the configuration of the specimen, use 0.1 g of elastomer or 0.2 g of plastic or other polymers for every 1 mL of extracting fluid.b Molded elastomeric closures are tested intact.PREPARATION OF EXTRACTS— Place a properly prepared Sample to be tested in an extraction container, and add 20 mL of the appropriate extracting medium. Repeat these directions for each extracting medium required for testing. Also, prepare one 20-mL blank of each medium for parallel injections and comparisons. Extract by heating in an autoclave at 121 for 60 min, in an oven at 70 for 24 h, or at 50 for 72 h. Allow adequatetime for the liquid within the container to reach the extraction temperature. [NOTE—The extraction conditions should not in any instance cause physical changes such as fusion or melting of the Sample pieces, which result in a decrease in the available surface area. A slight adherence of the pieces can be tolerated. Always add the cleaned pieces individually to the extracting medium. If culture tubes are used for autoclave extractions with Vegetable Oil, seal screw caps adequately with pressure-sensitive tape. ]Cool to about room temperature but not below 20, shake vigorously for several minutes, and decant each extract immediately, using aseptic precautions, into a dry, sterile vessel. Store the extracts at a temperature of 20–30, and do not use for tests after 24 h. Of importance are the contact of the extracting medium with the available surface area of the plastic and the time and temperature during extraction, the proper cooling, agitation, and decanting process, and the aseptic handling and storage of the extracts following extraction.SYSTEMIC INJECTION TESTThis test is designed to evaluate systemic responses to the extracts of materials under test following injection into mice. Alternate routes of injection may be used with justification.Test Animals— Use healthy, not previously used albino mice weighing 17–23 g. For each test group use only mice of the same source. Allow water and food, commonly used for laboratory animals and of known composition, ad libitum.Procedure—[NOTE—Agitate each extract vigorously prior to withdrawal of injection doses to ensure even distribution of the extracted matter. ] Inject each of the five mice in a test group with the Sample or the Blank as outlined in Table 4, except to dilute each g of the extract of the Sample prepared with Polyethylene Glycol 400, and the corresponding Blank, with 4.1 volumes of Sodium Chloride Injectionto obtain a solution having a concentration of about 200 mg of polyethylene glycol per mL.Table 4. Injection Procedure—Systemic Injection TestExtract or Blank Dose per kg Route a Sodium ChlorideInjection 50 mL IV1 in 20 solution ofAlcohol in Sodium Chloride Injection 50 mL IV Polyethylene Glycol 400 10 g IP Drug product vehicle (where applicable) 50 mL IV50 mL IP Vegetable Oil 50 mL IPa IV = intravenous (aqueous sample and blank); IP = intraperitoneal (oleaginous sample and blank).Observe the animals immediately after injection, again 4 h after injection, and then at least at 24, 48, and 72 h. If during the observation period none of the animals treated with the extract of the Sample shows a significantly greater biological reactivity than the animals treated with the Blank, the Sample meets the requirements of this test. If two or more mice die, or if abnormal behavior such as convulsions or prostration occurs in two or more mice, or if a body weight loss greater than 2 g occurs in three or more mice, the Sample does not meet the requirements of the test. If any animals treated with the Sample show only slight signs of biological reactivity, and not more than one animal shows gross symptoms of biological reactivity or dies, repeat the test using groups of 10 mice. On the repeat test, all 10 animals treated with the Sample show no significant biological reactivity above the Blank animals during the observation period.INTRACUTANEOUS TESTThis test is designed to evaluate local responses to the extracts of materials under test following intracutaneous injection into rabbits or guinea pigs.Test Animals— Select healthy, rabbits or guinea pigs with fur that can be clipped closely and skin that is free from mechanical irritation or trauma. In handling the animals, avoid touching the injection sites during observation periods, except to discriminate between edema and an oil residue.Procedure—[NOTE—Agitate each extract vigorously prior to withdrawal of injection doses to ensure even distribution of the extracted matter. ] On the day of the test, closely clip the fur on the animal's back on both sides of the spinal column over a sufficiently large test area. Avoid mechanical irritation and trauma. Remove loose hair by means of vacuum. If necessary, swab the skin lightly with diluted alcohol, and dry the skin prior to injection. More than one extract from a given material can be used per rabbit or guinea pig, if it is determined that the test results will not be affected. For each Sample use two animals and inject each intracutaneously, using one side of the animal for the Sample and the other side for the Blank, as outlined in Table 5. [NOTE—Dilute each g of the extract of the Sample prepared with Polyethylene Glycol 400, and the corresponding Blank, with 7.4 volumes of Sodium Chloride Injection to obtain a solution having a concentration of about 120 mg of polyethylene glycol per mL. ]Table 5. Intracutaneous TestExtract or Blank Number of Sites(per animal)Dose(µL per site)Sample 5 200Blank 5 200Examine injection sites for evidence of any tissue reaction such as erythema, edema, and necrosis. Swab the skin lightly, if necessary, with diluted alcohol to facilitate reading of injection sites. Observe all animals at 24, 48, and 72 h after injection. Rate the observations on anumerical scale for the extract of the Sample and for the Blank, using Table 2. Reclip the fur as necessary during the observation period. The average erythema and edema scores for Sample and Blank sites are determined at every scoring interval (24, 48, and 72 h) for each rabbit or guinea pig. After the 72-hour scoring, all erythema scores plus edema scores are totalled separately for each Sample and Blank. Divide each of the totals by 12 (2 animals × 3 scoring periods × 2 scoring categories) to determine the overall mean score for each Sample versus each corresponding Blank. The requirements of the test are met if the difference between the Sample and the Blank mean score is 1.0 or less. If at any observation period the average reaction to the Sample is questionably greater than the average reaction to the Blank, repeat the test using three additional rabbits or guinea pigs. The requirements of the test are met if the difference between the Sample and the Blank mean score is 1.0 or less.IMPLANTATION TESTThe implantation test is designed for the evaluation of plastic materials and other polymeric materials in direct contact with living tissue. Of importance are the proper preparation of the implant strips and their proper implantation under aseptic conditions. The intramuscular implantation test requires healthy adult New Zealand rabbits. The test specimens are placed into needles as the delivery system for implantation. Although most materials lend themselves readily to this method, there are a number of materials that are unsuitable for intramuscular implantation. For materials with physical characteristics unsuitable for routine intramuscular implantation, the subcutaneous rat implantation model is a viable alternative.Intramuscular Implantation in RabbitsPrepare for implantation 8 strips of the Sample and 4 strips of USP High-Density Polyethylene RS. Each strip should measure not less than 10 × 1 mm. The edges of the strips should be as smooth as possible to avoid additional mechanical trauma upon implantation. Strips of the specified minimum size are implanted by means of a hypodermic needle (15–19 gauge) with intravenous point and a sterile trocar. Use either presterilized needles into which the sterile plastic strips are aseptically inserted, or insert each clean strip into a needle, the cannula and hub of which are protected with an appropriate cover, and then subjected to the appropriate sterilization procedure. [NOTE—Allow for proper degassing if agents such as ethylene oxide are used. ]Test Animals— Select healthy, adult rabbits weighing not less than 2.5 kg, and with paravertebral muscles that are sufficiently large in size to allow for implantation of the test strips. Do not use any muscular tissue other than the paravertebral site. The animals must be anesthetized with a commonly used anesthetic agent to a degree deep enough to prevent muscular movements, such as twitching. See the Association for Assessment and Accreditation of Laboratory Animal Care (AAALAC) guidelines. Procedure— Perform the test in a clean area. On the day of the test or up to 20 h before testing, clip the fur of the animals on both sides of the spinal column. Remove loose hair by means of vacuum. Swab the skin lightly with diluted alcohol, and dry the skin prior to injection. Implant four strips of the Sample into the paravertebral muscle on one side of the spine of each of two rabbits, 2.5–5 cm from the midline and parallel to the spinal column, and about 2.5 cm apart from each other. In a similar fashion implant two strips of USP High-Density Polyethylene RS in the opposite muscle of each animal. Insert a sterile stylet into the needle to hold the implant strip in the tissue while withdrawing the needle. Ifexcessive bleeding is observed after implantation of a strip, place a duplicate strip at another site.Keep the animals for a period of not less than 120 h, and sacrifice them at the end of the observation period by administering an overdose of an anesthetic agent or other suitable agents. Allow sufficient time to elapse for the tissue to be cut without bleeding. Examine macroscopically the area of the tissue surrounding the center portion of each implant strip. Use a magnifying lens and auxiliary light source. Observe the Sample and Control implant sites for hemorrhage, necrosis, discolorations, and infections, and record the observations. Measure encapsulation, if present, by recording the width of the capsule (from the periphery of the space occupied by the implant Control or Sample to the periphery of the capsule) rounded to the nearest 0.1 mm. Score encapsulation according to Table 6.Table 6. Evaluation of Encapsulation in the Implantation TestCapsule Width ScoreNone 0Up to 0.5 mm 10.6–1.0 mm 21.1–2.0 mm 3Greater than 2.0 mm 4Calculate the differences between average scores for the Sample and Control sites. The requirements of the test are met if the difference does not exceed 1.0, or if the difference between the Sample and Control mean scores for more than one of the four implant sites does not exceed 1 for any implanted animal.Subcutaneous Implantation in RatsPrepare for implantation 10 sample specimens and 10 control specimens. The size and shape of the control specimens shall be as similar to that of the test specimens as practically possible. For example, specimens made of sheeting material shall be 10–12 mm in diameter and from 0.3–1 mmin thickness. The edges of the specimens should be as smooth as possible to avoid additional mechanical trauma upon implantation.Test Animals— Select healthy albino rats weighing 225–350 g at the time of implantation.Procedure— Perform the test in a clean area. Anesthetize (see AAALAC guidelines) the animal until a surgical plane is achieved. Clip the fur of the animals on both sides of the spinal column. Remove loose hair by means of vacuum. Clean the clipped area with povidone–iodine solution. Using aseptic technique, make two midline incisions (approximately 1.0 cm long) through the skin at the cranial and caudal regions on the dorsal surface. Using blunt dissection, separate the fascia connecting skin to muscle to form a pocket underneath the skin lateral to each side of the incision (base of pocket approximately 20 mm from the line of implant). Insert a sterile sample into each pocket, and close the incision with wound clips or sutures. Implant two test samples and two control samples in each of five rats. Keep the animals for a period of at least seven days, and sacrifice them at the end of the observation period by CO2induced hypoxia or administering an overdose of an anesthetic agent. Allow sufficient time to elapse for the tissue to be cut without bleeding. Cut the skin (dorsal surface) longitudinally and lay back. Carefully examine macroscopically the area of the tissue surrounding the implant. Cut the sample in half and remove for close examination of the tissue in direct contact with the sample. Use a magnifying lens and auxiliary light source, if appropriate. Observe the Sample and Control implant sites for hemorrhage, necrosis, discolorations, and infections, and record the observations. Measure encapsulation, if present, by recording the width of the capsule (from the periphery of the space occupied by the implant Control or Sample to the periphery of the capsule) rounded to the nearest 0.1 mm. Score encapsulation according to Table 6. Calculate the differences betweenaverage scores for the Sample and Control sites. The requirements of the test are met if the difference does not exceed 1.0.SAFETY TESTS—BIOLOGICALSThe safety test set forth here is intended to detect in an article any unexpected, unacceptable biological reactivity. This in vivo test is provided for the safety assessment of biotechnology-derived products.Safety TestSelect five healthy mice not previously used for testing, weighing 17–23 g, unless otherwise directed in the individual monograph or elsewhere in this chapter, and maintained on an adequate balanced diet. Prepare a test solution as directed in the individual monograph. Unless otherwise directed in the individual monograph or elsewhere in this chapter, inject a dose of 0.5 mL of the test solution into each of the mice, using a 26-gauge needle of suitable length, or of the length specified below as applicable. Observe the animals over the 48 h following the injection. If, at the end of 48 h, all of the animals survive and not more than one of the animals shows outward symptoms of a reaction not normally expected of the level of toxicity related to the article, the requirements of this test are met. 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Preliminary understanding of initial reaction process for subbituminous coal pyrolysis with molecular dynamicssimulationJin-Hui Zhan,Rongcheng Wu,Xiaoxing Liu,Shiqiu Gao,Guangwen Xu ⇑State Key Laboratory of Multiphase Complex Systems,Institute of Process Engineering,Chinese Academy of Sciences,Beijing 100190,PR Chinah i g h l i g h t sSubbituminous coal pyrolysis was investigated using ReaxFF molecular dynamics. Primary decomposition reactions begin with intramolecular bond cleavage. The formation mechanisms for typical pyrolysis products were explored.Phenoxyl groups play a key role in the hydrogen transfer process of gas generation. The reaction mechanisms are coincident with previous experimental results.a r t i c l e i n f o Article history:Received 23January 2014Received in revised form 19May 2014Accepted 1June 2014Available online 14June 2014Keywords:Subbituminous coal PyrolysisReactive molecular dynamics Reaction mechanisma b s t r a c tA series of molecular dynamics simulations using the ReaxFF reactive force field was carried out to investigate the mechanism of initial thermal decomposition associated with pyrolysis of a kind of subbituminous coal.The calculation results show that the primary decomposition reactions of Hatcher subbituminous model begin with intramolecular changes such as the cleavage of unstable C A C and C A O bonds.The formation mechanisms for typical pyrolysis products were explored.For example,the initial pathway for the formation of CO is by the decarbonylation of carbonyl or carboxyl group,while CO 2is mainly produced by hydrogen transfer and decarboxylation of carboxyl groups.CH 4can be formed mainly by CH 3Åfree radical abstracting a hydrogen atom from the hydroxyl group.H 2is formed by two hydrogen atoms from one or two groups bonding together,which makes the residue fragments more sta-ble.Hydrogen can also react with oxygen-containing free radicals or unsaturated bining Rea-xFF molecular dynamics (RMD)simulation and density functional theory (DFT)calculation,we find that the free radical C 9H 9O Åis an important fragment during the pyrolysis process of Hatcher subbituminous model.As a precursor for cresol,it can capture hydrogen radical to form intermediate C 9H 10O and may continue to produce o -cresol and ethylene in the presence of hydrogen resource.These simulation results for the initial pyrolysis process and the reaction mechanisms agree with previous experimental observations.Ó2014Elsevier Ltd.All rights reserved.1.IntroductionSubbituminous coal,a type of coal between lignite and bitumi-nous [1],is rich in volatile and has weak caking propensity so that it is highly suitable for pyrolysis to co-produce liquid (tar),gas and solid (char)products.Therefore,there are a lot of technical devel-opment works worldwide for establishing the processes of coal pyrolysis [2–6].However,these technical activities are still seri-ously suffering from the excessive formation of heavy tar compo-nents which tend to cause operational problems in pyrolysis and also lower the liquid product quality.The solution to this problem is the control of pyrolysis reactions,requiring the clear under-standing of the reaction process involved in pyrolysis.Studies on the mechanism of coal pyrolysis have attracted much attention in the past several decades [7,8].Meanwhile,knowledge of coal structure has been made significant progress and there are more than 130coal models proposed since 1940s [9].The different origin and different degrees of coalification result in structural diversity of coal,especially for the carbon backbone.Several models were published as an aide to understanding the pyrolysis behavior of different rank coal,such as lignite by Tromp and Moulijin [10],bituminous coal by Solomon et al.[11–13]Structural fragments were collected by destructive techniques/10.1016/j.fuel.2014.06.0050016-2361/Ó2014Elsevier Ltd.All rights reserved.⇑Corresponding author.Tel.:+861082544886;fax:+861082629912.E-mail address:gwxu@ (G.Xu).such asflash-pyrolysis or wet chemistry approaches that imposed necessary limitations on the component molecules.The functional groups and their changes during pyrolysis have been measured through experimental approaches,such as FTIR[14,15],NMR [16,17]and GC–MS[18,19],and the structures including heteroat-oms,like sulfur[20,21],nitrogen[22,23]and oxygen[24],have been elucidated by X-ray absorption near edge structure(XANES) spectroscopy.However,except in situ IR for the detection of changes in the functional groups[14],there is almost no adequate online detection method to obtain more useful information for the continuous variation of species in the process of coal pyrolysis.In addition,coal pyrolysis is also a complex process involving a large number of chemical reactions.These chemical reactions are cou-pled together,with vast free radical intermediates generated in the initial stage.Such radicals are short-lived species so that they are hard to be captured by traditional experimental approaches. Instead,the computational method should be capable of modeling the chemical reactions involved in coal pyrolysis.Since the reactive forcefield(ReaxFF)was developed by van Duin and Goddard et al.[25–27],the computational capabilities for chemical reactions of large systems have been significantly improved.The ReaxFF reactive forcefield is a general bond order dependent potential.It has been proven to be a smooth transition from non-bonded to bonded interactions and has been demon-strated not only to retain nearly the accuracy of quantum chemis-try calculations but also to be as low as classical molecular dynamics at the computational cost.The method has been success-fully used to explore the combustion process of lignite and char [28–30],as well as the mechanism of coal pyrolysis[31–35].For the utility of ReaxFF MD simulation on coal pyrolysis,Salmon et al.[31]investigated early maturation processes in Morwell brown coal[36]with several functional models and a macromole-cule,respectively.The macromolecule includes many oxygenic groups,such as methoxyl,hydroxyl and carboxyl groups.The sim-ulation reproduced the defunctionalization process of aromatic side chains in their offline experimental results[36]and showed carbon dioxide as thefirst product formed.The effects of supercrit-ical solvents(methanol and water)on coal pyrolysis were investi-gated by Chen et al.[32]using a unimolecular model compound and by Zhang et al.[33]using Wiser[37]bituminous coal model. Their results showed that the solvent decomposedfirstly to form active radicals,which attacked to weak bonds leading to the decomposition of coal macromolecular structure.More recently, Zheng et al.[34,35]reported ReaxFF molecular dynamics simula-tions of bituminous coal pyrolysis using mixed models with Wiser [37],Shinn[38]models and other small molecules to investigate the nascent decomposition processes and product profiles.The sequence of gas generation,the evolution of naphthalene series compounds and the reactions involving CH3Åand OHÅwere investi-gated to understand the pyrolysis behavior.These works give us a useful insight for investigating the mechanism of coal pyrolysis, but in order to control the pyrolysis process and call for high-quality gas and tar products,more microscopic details of chemical reactions during coal pyrolysis,especially for the generation pro-cess of key gas(CH4,H2,CO,and CO2)and liquid products(phenols) as well as their intermediates,still need to be further explored. Moreover,coal type is an important factor which affects the prod-uct distribution of pyrolysis,comparing with the structural feature of lignite and bituminous coal,subbituminous coal contains less ester and side chain than that for lignite,and less aromatic rings than that for bituminous coal.China has a wealth of subbituminous coal resources,accounting for about one-third of total coal reserves.Recently,we reported a pyrolysis technology to improve the quality of tar using afixed-bed pyrolyzer enhanced with internals for a weak caking subbitu-minous coal[39].In the present work,to achieve the control of pyrolysis process at the atomic/molecular level,we implemented a series of ReaxFF molecular dynamics(RMD)simulations to inves-tigate the initiation reaction pathways leading to the thermal breakdown of subbituminous coal and describe the formation pro-cesses of gas and liquid products.Hatcher[40]subbituminous coal model was selected for studying the mechanisms of pyrolysis.It should be noted that the subbituminous model was derived from the coalification of lignin based on13C NMR and pyrolysis GC–MS,and the features of this model includes aryl ether linkages, alkyl cyclization at2,4-position of phenol and less side chain than that for lignite[40].Although there is no heteroatoms N and S involved in this model,it still well represents the skeleton for sub-bituminous coal.In addition,the formation processes of possible precursors for typical phenolic products were tracked from the RMD trajectories,and key intermediates as well as transition states were found by assistant DFT calculations.2.Simulation methodsA subbituminous coal model reported by Hatcher and his coworkers[40]was used as an initial model(Fig.1a).Firstly,the initial model was built using Marvin program[41],and the geom-etry optimization of the models was carried out using Forcite Mod-ule with the Dreiding forcefield in Materials Studio(MS)package [42].Then a minimum energy structure was used to initiate a ser-ies of molecular mechanics calculations using simulated annealing to generate several unimolecular conformations.The procedure involved10annealing cycles from300to1300K under constant number,volume and temperature conditions(NVT ensemble) and geometry optimizations were carried out after each cycle. The minimum energy structure was used in next ReaxFF reactive molecular dynamics step.A macromolecule involving six molecular models with1110 atoms was immersed in a periodic box(30Â30Â30Å3) (Fig.1b).To achieve an appropriate density of subbituminous coal, the density of this initial macromolecular system was adjusted to 0.78g/cm3(26.0Â25.7Â26.3Å3)at300K by using NPT(constant number,pressure and temperature)ensemble at pressures of 0.2GPa with a damping constant of500fs.Next,we performed 10ps no-reaction MD simulation at300K NVT ensemble to relax this system.Then,heat up simulations from300K to2800K at rates of10,20,40and80K/ps for the macromodel were performed to determine the onset temperature of thermal decomposition. Finally,ReaxFF reactive molecular dynamics simulations were performed using NVT ensemble for1ns with different tempera-tures at1000,1600,1800,2000,2200and2400K,respectively. The velocity Verlet approach was adopted to integrate and update Newton’s equation of motion of atoms with a time step of0.25fs.A Berendson thermostat with a100fs damping constant was used for temperature control.System configurations were saved with every0.5ps and separate molecular fragments were identified by a ReaxFF bond order upon0.3.The parameters used in the present RMD study were C/H/O ReaxFF forcefield parameters[43].The energy conservation was evaluated by the NVE simulations at different temperatures,which is based on the method reported by van Duin et al.[44](see supplementary material).Although the time scale is still many magnitudes lower than that usually observed in experiments,the simulation time(1ns) is longer than that performed in previous works(no more than 250ps)for coal pyrolysis.The temperature can affect the reaction rate based on the Arrhenius equation,especially for the reaction with higher energy barrier,which will be obviously accelerated in comparison with that with lower energy barrier[45].Thus, due to the limitation on computational time scale,we chose a much higher temperature instead of experimental temperature284J.-H.Zhan et al./Fuel134(2014)283–292to simulate the pyrolysis process of Hatcher subbituminous coal model,which is in the same way as the other pyrolysis studies done by using ReaxFF reactive molecular dynamics.All ReaxFF reactive molecular dynamics simulations were implemented in ADF software [46].The DFT calculations were per-formed by Gaussian03program [47]using B3LYP hybrid functional [48,49]with 6-31G ÃÃbasis set for the geometry optimization of the stationary points.The vibrational frequency calculations at the same level were carried out to confirm each stationary point to be either a minimum or transition state (TS).Intrinsic reaction coordinate (IRC)paths were calculated to connect each TS to its corresponding reactant and product.Reported energies include a correction for zero-point energies.3.Results and discussion3.1.Initial pyrolysis process of subbituminous coalHeat up simulations from 300to 2800K at rates of 10,20,40performed to determine the onset temperature on the picosecond time scale.As shownrate is beneficial to produce new fragments new fragment was firstly produced at up simulation for the rate of 80K/ps,1200K with the heating rate of 10K/ps.the number of new fragments was when reaching the same temperature.It was most probable (three-quarters of the chances)that the initial pyrolysis fragment for various heating rates was the methyl free radical CH 3Å,as we can observe from the RMD trajectories.Moreover,methyl radical is a critical precursor of methane,which is an important pyrolysis gas.For the heating rate of 20K/ps,the methyl free radical was produced at 1930K.It should also be noted that the initial formation of methyl free radical underwent a series of intra-molecular bond breaking processes,as shown in Fig.3.This could be ascribed to the intra-molecular unstable tension of Hatcher subbituminous coal model resulting from the substituent and cyclization at 2,4-position of phenol.This structural unit is also present in the lignite model of Morwell coal by Nimz and Salmon et al.[36,50],which is a struc-tural feature for low rank coal.Therefore,intra-molecular C A C bond cleavages occur in succession,and then the free radical rear-rangement will happen among C563,C564and C631,leading to the methyl radical leaving and the formation of a double bond between C563and C564(Fig.3).The methyl radicals,generated by cleav-ages of C A O bonds of methoxy groups in Salmon et al.’s simula-tions [31],were not found due to the absence of methoxy groups in Hatcher subbituminous coal [40].To investigate the kinetics of the thermal decomposition pro-cesses,we also performed reactive molecular dynamics simula-tions using NVT ensemble with 1ns and the simulation temperature was at 1200,1600,1800,2000,2200and 2400K,respectively,which was chosen based on above heat up simula-tions.Fig.4gives a view of the number of fragments changing with the simulation time under different temperatures.The number of fragments is continuously rising when the temperature is lower than 2000K.While the temperature is 2400K,the number of frag-ments rapidly increases at the beginning of RMD simulation,then decreases at about 600ps,and finally increases to 98at 1ns.The decreases of the number of fragments suggest that some polymer-ization reactions occur within the corresponding simulation time.After further analysis of the product compounds observed within the 1ns RMD simulation at different temperatures,the evo-lution of product classes with temperature is obtained and dis-played in Fig.5.The number of small fragments (C 1A C 4and non-aliphatic gases)increased with elevating temperature,while the number of light tar fragments (C 5A C 15compounds)increased firstly and then kept being stable.The number of heavy tar frag-ments (C 16A C 40compounds)decreased when the temperature exceeded 2000K.The fragments of C 5A C 40are considered as tar in this paper,as well as shown in literatures [16,34],which is basedDetermination of initiation reactive temperature using NVT RMD at 10,20,40and 80K/ps.subbituminous coal.(a)2D unimolecular structure [7],the circled letters indicate connecting sites (e.g.A —A );on their average molecular weight around 80–500amu.cies of boiling points below 360°C was considered as light corresponding to the carbon number of C 5A C 15compounds paper.The simulation results suggest that the pyrolysis ture is an important factor to affect the product Low temperature favors tar species generation while high ature helps to produce small molecule fragments.Therefore,hope to produce tar by pyrolysis of subbituminous coal,perature of pyrolysis should be controlled in an appropriate not too low or too high.For coal pyrolysis,it is commonly known that a higher rate has to cause the higher yields of pyrolysis oil and appears inconsistent with the clarification by MD shown in Fig.2.It in fact indicates that the fragments heating up are not the final experimental pyrolysis products the primary pyrolysis products.The former includes the both free radical and secondary reactions.As one can Fig.5,the generated products in MD simulations are species below C 4,while big-molecule species are not so result shows that the MD simulations reproduce rather teristics of products without secondary reactions that related to the field characteristics of flow,temperature in the reactor.Typical gas products formed after 1ns ReaxFF RMD of subbituminous coal pyrolysis under various temperature tions were shown in Fig.6.Carbon dioxide was formed temperature,whose number increased firstly with and then fluctuated in a small range ($10).This is due is mainly derived from carboxyl groups whose number for this system.Many H 2O and CO were generated with perature,especially when the temperature exceeded 2000gen was observed in the RMD simulations at high temperatures.number of CH 4also increased with raising temperature,fluctuated at high temperatures.It implies that CH 4and easy to react with other fragments at high temperatures.Temperature evolution for products of different classes obtained by simulations using ReaxFF RMD at 1ns.Snapshots from ReaxFF heat up MD simulations show the initiation of reactions leading to methyl free radical with (a and b)and (c and d)for intra-molecular (C562A C566and C569A C563),(e and f)for generation of methyl free radical.The arrows located the broken bonds.Thermal decomposition of subbituminous coal model for NVT RMD simulations at 1600,1800,2000,2200and 2400K.trend in the formation of thesefive typical gases with the variation of temperature is consistent with the experimental results[7,13]. These simulated results for these gases at1800–2400K was comparable with the experimental results for a subbituminous coal at873–1273K[39].3.2.Major product species analysisThe temperature effect of the chemical composition is shown in Table1,which is observed after the1ns NVT simulations of Hathcer’s model at1600,1800,2000and2200K,respectively. The decomposition products are divided intofive classes of com-pounds,involving small molecular C4Àcompounds,light tar C5–15 compounds,heavy tar C16–40compounds,large molecular C40+char and non-aliphatic gases.The results show that the number of low molecular weight species(C15Àcompounds)increased with the increase of simulation temperatures.However,at high tempera-tures(2000and2200K),the large molecular weight species(C16+ compounds)decreased comparing with those at low temperatures, indicating that large molecular species decomposed into small molecular species at high temperatures.For non-aliphatic and C4Àcompounds,two representative spe-cies are CO2and CH4.The number of CO2formation is about10, which is stable at high temperatures.There are many C4Àspecies observed at the end of the RMD simulation with the temperature 2000K.More interestingly,C9H9O is unique fragment for C5–15compounds after1ns RMD simulation with temperatures at 1600and1800K,suggesting that the C9H9O group is liable to leave from the macromolecule.However,C9H9O is not stable at high temperatures,for example at2000K,which can either bind a hydrogen atom to form C9H10O or react with another group to pro-duce a large fragment.The number of heavy tar composition of C16-40compounds increased from1600to2000K while decreasing at2200K,which means that this kind of compounds may either decompose into smaller fragments or aggregate with other frag-ments to form larger fragments.The C40+compounds decomposed into non-aliphatic gases and tars.The weight for C40+compounds at2200K is greater than that at2000K,indicating that these compounds at2200K may be formed by intermolecular polymerization.In order to further study the evolution of species during the pyrolysis process,the changes of decomposed compounds over simulation times were analyzed for1ns NVT RMD simulation at 2000K,as shown in Table2.The number of small fragments (non-aliphatic,C4Àand C5–16compounds)increased with prolong-ing simulation time,while thefluctuations for the carbon content of C16–40compounds occur during last600ps.These mean that many small fragments came from the decomposition of C16–40 compounds.Most of the fragments C16–C40was unique due to the limitation of system scale,except for the fragments C20H22O3 in Table2,whose number increased to2at1ns,including two iso-mers with the same phenol skeleton and different substituent group at2-postion of phenol,as shown in supplementary material. Due to the limitation of simulation time,we did not observed fur-ther variation of the fragment C20H22O3,which may be decom-posed to form phenolic products if increasing the simulation time.The weight for C40+compounds at1000ps is greater than that at600ps,indicating that there are polymerizations to occur among different compounds.At the beginning stage of RMD simu-lation,more changes occurred between macromolecules and only three kinds of small molecular fragments were produced at 100ps,including CO2,CH3Åand C9H9O.The free radical CH3Åwas formed at the beginning of MD simulation,which is a precursor for producing CH4.Although there was no H2observed at the end of1ns RMD simulation,it would still be present in the middle stage of this simulation.We focused on the evolution offive com-pounds including CO2,CO CH4,H2and C9H9O,and the time courses of the number of them are shown in Fig.7.Table1Chemical molecules observed after1ns NVT simulation at1600,1800,2000and 2200K for Hatcher model.1600K1800K2000K2200KNon-aliphatic gases4CO29CO211CO210CO21H2O1H22CO7CO4H2O7H2O1H2 C4Àcompounds1CH41CH31CH31CH31C2H44CH44CH48CH41CH4O2C2H23C2H21C2H44C2H41C2H31C2H54C2H41CH4O1CH2O4C2H2O1CH4O2C3H62C2H2O2C4H44C3H61C4H4O1C3H2O2C4H4O C5–15compounds1C9H9O5C9H9O1C6H62C5H51C8H6O1C6H5O1C10H101C9H72C9H10O1C8H7O1C10H10O1C9H6O1C12H101C10H10O21C12H13O1C11H14O1C15H14O1C13H121C15H11O21C14H11O1C15H12O2 C16–40compounds1C24H22O31C17H13O31C16H12O31C17H13O2 1C25H20O51C20H21O1C19H15O1C17H14O3 1C26H24O41C22H17O31C19H14O21C19H14O3 1C25H23O51C23H19O31C19H15O31C25H24O3 1C30H32O41C25H22O22C20H22O31C34H251C25H21O51C23H20O1C32H25O31C34H30O41C25H17O21C40H33O61C34H31O41C25H21O21C35H27O41C39H28O4C40+compounds1C60H54O101C43H37O51C47H39O61C84H64O6 1C87H82O101C53H49O61C62H52O81C90H66O8 1C117H106O181C85H75O111C124H110O151C91H83O 11Typical gas products generated after1ns ReaxFF MD simulationssubbituminous coal pyrolysis under various temperature conditions.134(2014)283–292287As shown in thefigure,the number of CO2increased rapidly before400ps and tended to be stable at about10after600ps. Two CO molecules were formed at140and720ps.The number of CH4increased with time and stabilized to4at last.There were three H2formed during the RMD simulation,but they were very active in this system and all disappeared at1000ps.The fragment C9H9O was formed before400ps and then reacts with other free radical to produce large or small compounds.Two dominant iso-mers for C9H9O appearing during RMD simulations at1800and 2000K are shown in Fig.7,which will be discussed in the following text.3.3.Formation mechanisms of typical gas and liquid productsThe formation of carbon oxides(CO and CO2)is mainly derived from the dissociation and emission of oxygenated functional groups in the pyrolysis process of subbituminous coal.Previous simulation results have proven that direct decarboxylation con-tributes to the formation of CO2in both pyrolysis and oxidation processes[29,31].This formation process of CO2was also observed in our simulations.For the simulation at2000K,hydrogen of the carboxyl groupsfirstly transferred to hydrogen acceptors that were derived from four types of oxygen-containing groups:ketone,phe-noxyl radicals,enol radicals and alkynol radicals,as shown in Fig.8a.Then11CO2molecules would be formed by decarboxyl-ation of carboxyl free radicals.However,Behar and Hathcer[51] reported that the increase in CO2did not derive entirely from loss of carboxyl carbon,which also came from loss of carbonyl carbon in NMR spectra.Thus,loss of carbonyl carbon may befirstly to form the precursor of CO2,for example CO,as can be seen in our paring with the scales of experimental time and temperature,the RMD simulation is just suitable for studying the initial process of coal pyrolysis.Two formation pathways of CO derived from different oxygen-ated functional groups were observed in our RMD simulations, which were shown in Figs.9and10,respectively.In pathway1, CO derived from the carbonyl group was formed by the cleavage of C al A CO bond,following the cleavage of C ar A CO bond,as shown in Fig.9.The order of bond cleavages accords with the rule of min-imal energy bond breakingfirstly.The bond energies for the break-ing C al A CO and C ar A CO bonds,using a model compound,were calculated through DFT method with the basis set superposition error(BSSE)correction.The bond energy for C ar A CO is higher than that for C al A CO bond(94.93vs77.94kcal/mol).The formation pathway2of CO derived from the carboxyl group is illustrated in Fig.10.The carboxyl group extracted a hydrogen atom from the hydrogen donor to form A C(OH)2free radical group (Fig.10b).Then the ether linkage broke down to form C ar A OÅfree radical,which is a strong hydrogen acceptor and obtained a hydro-gen from a hydroxyl group,as shown in Fig.10c–e.The unstable A C(OH)2free radical group lost a hydrogen atom to recover the carboxyl group(Fig.10f).Next,a methyl free radical attacked the carboxyl group to form methanol(Fig.10g and h),which is a cru-cial step in the formation of CO derived from the carboxyl group. Finally,cleavage of C ar A C bond to produce CO.The results for these two pathways indicate that the formation of CO may be originated from different oxygenated functional groups and go through a series of complex processes,such as C A C bond cleavages,intermo-lecular hydrogen transfers,the ether bond cleavage and the dehydroxylation of the carboxyl group.The primary components of pyrolysis gas contain methane and hydrogen,whose formation reactions were shown in Fig.8b and c. Three quarters of CH4molecules were produced by CH3Åfree radical abstracting hydrogen atom from the phenolic hydroxyl group and one CH4molecule was formed by hydrogen transfer from the alkyl group to CH3Å.Hydrogen was generated by three ways:(1)in a common fragment,two hydrogen atoms of methyl directly leave;(2)two hydrogen atoms are derived from A CH2A and A CH3groups in different fragments;(3)hydroxyl hydrogen bound with theTable2Chemical molecules observed with1ns of NVT simulation at2000K for Hatchermodel.100ps400ps600ps1000psNon-aliphatic gases2CO27CO29CO211CO23H2O2H2O4H2O1CO1CO2CO1H21H2C4Àcompounds1CH32CH42CH41CH32C2H41C2H24CH41CH4O2C2H42C2H21C2H2O1CH4O4C2H41C4H4O3C2H2O1C2H51C4H31CH4O1C4H4O4C2H2O2C3H62C4H41C4H4OC5–15compounds1C9H9O1C6H81C6H71C6H61C8H6O1C8H6O1C8H6O3C9H9O2C9H10O1C10H101C10H101C10H102C9H10O1C10H10O1C10H10O1C10H10O1C15H13O1C11H10O1C12H101C15H13O1C12H13O1C15H14O1C15H11O2C16–40compounds1C18H16O21C16H15O21C16H14O21C16H12O31C25H21O51C19H14O21C19H14O21C19H15O1C25H23O51C20H16O31C20H21O31C19H14O21C39H39O51C20H21O31C20H22O31C19H15O31C20H22O31C23H18O32C20H22O31C25H21O21C25H21O21C23H20O1C24H20O51C29H28O31C25H17O21C26H23O41C35H30O41C25H21O21C29H28O31C40H38O51C35H27O41C30H27O41C39H28O41C34H26O3C40+compoundsAnalyses of typical species in ReaxFF MD simulations of initialsubbituminous coal pyrolysis at2000K.288J.-H.Zhan et al./Fuel134(2014)283–292。