Extension of a Spectral Bounding Method to Complex Rotated Hamiltonians, with Application t

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顶空气相色谱法检测生活饮用水中三卤甲烷

顶空气相色谱法检测生活饮用水中三卤甲烷

分析检测顶空气相色谱法检测生活饮用水中三卤甲烷付文凯(英德市疾病预防控制中心,广东英德 513000)摘 要:目的:建立顶空气相色谱方法同时检测饮用水中三卤甲烷的方法。

方法:应用顶空气相色谱法对生活饮用水中的三卤甲烷进行分析。

结果:本方法检测饮用水中三卤甲烷的4种组分分离度好,在10 min 内完成检测,且各组分的曲线相关系数均>0.998。

本方法的最低检出限为三氯甲烷0.015 µg·L-1、二氯一溴甲烷0.012 µg·L-1、一氯二溴甲烷0.014 µg·L-1、三溴甲烷0.015 µg·L-1,方法精密度较好,相对标准偏差为0.8%~4.6%,不同浓度样品的加标回收率为94.2%~103.3%。

结论:该方法检测饮用水中三卤甲烷简单、准确,灵敏度和精密度高。

关键词:顶空气相色谱法;三卤甲烷;生活饮用水Determination of Trihalomethane in Drinking Water byHeadspace Gas ChromatographyFU Wenkai(Yingde Center for Disease Control and Prevention, Yingde 513000, China) Abstract: Objective: To establish a headspace gas chromatography method for simultaneous determination of trihalomethane in drinking water. Method: Headspace gas chromatography was used to analyze the trihalomethane in drinking water. Result: The separation of 4 components of trihalomethane in drinking water was well determined by this method, and the detection was completed within 10 min, and the curve correlation coefficients of each component were>0.998. The minimum detection limits of the method were 0.015 µg·L-1 for trichloromethane, 0.012 µg·L-1 for dichlorobromomethane, 0.014 µg·L-1 for dichlorobromomethane, and 0.015 µg·L-1 for tribromomethane. The accuracy of the method was good, and the relative standard deviation ranged from 0.8% to 4.6%. The recoveries of samples with different concentrations ranged from 94.2% to 103.3%. Conclusion: This method is simple, accurate, sensitive and precise for the determination of trihalomethane in drinking water.Keywords: headspace gas chromatography; trihalomethanes; drinking water随着生活水平的不断提高,人们对饮用水安全问题越来越重视[1]。

大学物理西尔斯

大学物理西尔斯

1. Atomic Spectra of Hydrogen
1) Atomic Spectra : emission spectrum:the spectrum formed during the process of radiation of electromagnetic waves.
absorption spectrum: the spectrum formed during the process of absorption of electromagnetic waves with certain wavelengths.
1) Ground-state level : Every atom has a lowest energy level that includes the minimum internal energy state that the atom can have.
2) Excited level :
Limit of wavelength of Balmer series
n , B 364.6nm
1890:
1
R(
1
2
2
1
2
)
n
n 3, 4,5,
R= 4
1.097
373
7 1
10 m
B
➢ Atomic Spectra of Hydrogen
Lyman series:
UV
~ R( 1 1 )
Q1:There must be something with positive charge in the atom. How does the mass of the atom distribute? Q2:How does the charges of the atom distribute?

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ARTICLESSurfactant and thioacetamide-assisted reflux synthesis of Bi2S3nanowiresWeidong XiangCollege of Chemistry and Materials Engineering,Wenzhou University,Wenzhou,Zhejiang325035,ChinaYuxiang Yang a)and Junya YangSchool of Chemistry and Molecular Engineering,East China University of Science&Technology,200237,China Hongming YuanState Key Laboratory of Inorganic Synthesis and Preparative Chemistry,College of Chemistry,Jilin University,Changchun130012,ChinaJie An and Jing WeiSchool of Chemistry and Molecular Engineering,East China University of Science&Technology,200237,China Xiangnong LiuAnalysis Test Center,Yangzhou University,Yangzhou225009,China(Received15April2014;accepted9July2014)Pure single-crystalline bismuth(III)sulfide(Bi2S3)nanowires with lengths of the long and short axesbeing1.58–1.75l m and40nm were prepared by a simple surfactant-assisted reflux method in thepresence of thioacetamide,which served as both the sulfur source and a“soft template”in the formation of bismuth sulfide nanostructures.The effects of different surfactant,surfactant molecular weight,solvent medium,and sulfur source on the morphology,structure,and phase composition of the as-preparedBi2S3products were discussed.The formation of long Bi2S3nanowires was probably via the mechanism of pyrolysis of bismuth(III)sulfide complexes dimer and continuous growth of crystalline nuclei along rod-shaped micelles originated from“soft-template”of polyethylene glycol(PEG-800).Besides,ultraviolet–visible spectroscopic(UV-Vis),and photoluminescent(PL)Bi2S3band features indicated that the nanowires have excellent optical properties,in the opticalfield of potential applications.I.INTRODUCTIONOne-dimensional(e.g.,nanorods,nanowires,etc.) nanostructured materials represent a class of quasi-1D materials in which carrier motion is restricted in two directions so that they usually exhibit significant photo-chemical,photophysical,and electron transport proper-ties,which is different from that of bulk or nanoparticle materials.When the size of semiconductor nanocrystal-line materials becomes smaller and smaller,the surface effect will be even more pronounced,the size and the morphology of nanocrystalline materials will make big effects on the physical property,called quantum size effect.Bismuth trisulfide(Bi2S3)is aⅤA-ⅥB compound semiconductor material that crystallizes in the Pbnm orthorhombic space group,having complex band or layered lattice structure.Besides,Bi2S3nanocrystallines also have prominent quantum size effect,therefore their photophysical and chemical properties have become one of the most active research areas rapidly,among which the ultrafast optical nonlinear response and photolumines-cence properties and other characteristics have attracted even more attention.By reason that Bi2S3is a highly anisotropic semi-conductor material,having layered structure,the growth direction of layered structures is found to form parallelly to the c-axis of the band structure of infinite space by sulfur atoms and the force between molecules linked together. Thus,two ultimate priority factors can decide orthogonal crystal growth direction of Bi2S3:(i)layered structure and (ii)high anisotropy.The Bi2S3nanocrystallines not only lead to absorption and emission wavelength blue shift,but also produce the nonlinear optical effect,enhancing the redox ability of nanoparticles with superior optical activity. Due to its tunable direct band gap from1.3to1.7eV,Bi2S3 has unique properties suitable for numerous applications. For example,Bi2S3can be applied to photodiode array,1 photoelectric converter,2electrochemical hydrogen storage,3 infrared spectroscopy,4and economical electron cooling device based on the Peltier effect.5Besides,the Bi2S3 nanowire devices that were prepared using the focused ion beam microscopy(FIB)technique have shown better sensitivity and faster responding time than the macro-scopic palladium(Pd)wire hydrogen sensor,6so Bi2S3 nanowire with different nanostructures has a good gasa)Address all correspondence to this author.e-mail:yxyang@DOI:10.1557/jmr.2014.193J.Mater.Res.,2014ÓMaterials Research Society20141and photosensitivity on hydrogen,visible light7,8and laser,9especially photosensitivity and response indicate their potential to be used in photodetector and optoelec-tronic nanodevice applications.10As Bi2S3layered network structure can be formed after the crystallization,the possibility of the formation of cylindrical shape and the inherent anisotropy of the quantum transmission have attracted more attention from researchers.Currently,there are some reports about the preparation of Bi2S3.Changhui Ye et al.first synthesized the Bi2S3nanotubes by gas-phase method without the introduction of reducing gases of dihydrogen(H2)or hydrogen sulfide(H2S),11they performed the calcination study under argon(Ar)atmosphere using as-prepared Bi2S3nanoparticles as precursor and elemental sulfur as raw materials.Sambhaji S12synthesized and fabricated elegant Bi2S3nanoflowers in large scale with highly oriented(001)surfaces via a facile hydrothermal/solvo-thermal route.Xie et al.13synthesized Bi2S3and Sb2S3 nanorods with a diameter in the range of50–400nm and a length in the range of1–7l m from single-source precursors M(S2CNEt2)3(M5Bi,Sb)via a hydrothermal treatment.Wu et al.14prepared uniform colloidal Bi2S3 nanodots with an orthorhombic structure at different sizes via a hot injection method.Sigman and Korgel15prepared Bi2S3nanorods and nanowires by the solventless thermol-ysis of bismuth alkylthiolate precursors in the presence of a capping ligand ing L-cysteine and glutathione as an assembling agent and a sulfur source,Lu and Zhang et al.16,17proposed a simple biomolecule-assisted approach for the synthesis of highly ordered Bi2S3crystals with snowflake-like andflowerlike pattern respectively.J.D.Desai prepared microcrystalline Sb2S3thinfilms by a chemical method using thioacetamide(CH3CSNH2, abbreviated as TAA)as a sulfur source in the presence of a complexing agent,18CH3CSNH2was found to be more suitable as an activator for formation of the microcrystal-line Sb2S3than other compounds containing sulfur.So as detailed in this article,single-crystalline Bi2S3nanowires have been successfully synthesized using BiCl3as raw materials,and TAA as a sulfur source with1,2-propanediol as solvent medium and PEG800as surfactant by a simple reflux method.The preparative parameters such as effect of solvent medium,sulfur source,surfactant type,and molec-ular weight of the surfactant are optimized.And the influences of such preparative parameters on the morphol-ogy are discussed.This synthetic route is simple,effective, easily reproducible/repeatable and provides some reference value for realizing industrial production.II.EXPERIMENTALA.ReagentBismuth trichloride(BiCl3),bismuth nitrate(Bi (NO3)3Á5H2O),thioacetamide(TAA),thiourea(H2NCSNH2),thiosemicarbazide(NH2CONHSNH2),propanediol (HOCH2CH(OH)CH3),polyethyleneglycol(abbreviated as PEG),ethylene glycol((CH2OH)2),glycerol(HOCH2CH (OH)CH2OH),polyvinylpyrrolidone(relative molecular weight M538,400)(PVP),cetyltrimethyl ammonium bromide(CTAB)were all analytically pure,purchased from Shanghai Chemical Reagents Co.and used without further purification.B.SynthesisThe typical experimental procedure is:1.26g of BiCl3 and0.75g of TAA were dissolved in50mL of propane-diol under magnetic stirring,finally form a homogeneous solution.The mixed solution together with0.2g PEG800 was then transferred to a three-neckedflask(250mL capacity).After being refluxed at187°C for6h,the resulting nacarat solid product was centrifuged and alter-nately washed with acetone,distilled water,and absolute alcohol for several times.Finally,the resultant powder was dried under vacuum at60°C for3h and characterized. To study the effect of different reaction conditions on growth of Bi2S3nanorods,the four experimental param-eters including solvent medium,sulfur source,kinds of surfactant,and molecular weight of surfactant must be considered.The experiments were performed by manually adjusting one parameter,but the other three of experimen-tal parameters were keptfixed in each situation in the typical experimental procedure.C.CharacterizationThe phase purity of the as-synthesized products was examined by x-ray diffraction(XRD)using D/max2550 VB/PC x-ray diffractometer(Rigaku,Tokyo,Japan)equip-ped with Ni-filtered Cu K a radiation(40mA,40kV,1°(2h)ÁminÀ1).The surface morphology of Bi2S3products was observed byfield emission scanning electron microscopy (FESEM;Hitachi model s4800,Hitachi High-Technologies Corporation,Nishi-Shinbashi,Japan)with accelerating vol-tages of15.0kV.The high-resolution transmission electron microscope(HRTEM)image and the corresponding selected area electron diffraction(SAED)pattern were taken with a JEOL JEM-2100F type transmission electron microscope (TEM)with an accelerating voltage of200kV.X-ray photoelectron spectroscopy spectra were recorded on an XPS;Kratos model AXIS ULTRA DLD x-ray photo-electron spectrometer(Shimadzu,Kyoto,Japan)using an Al (Mono)x-ray as the excitation source.The proton nuclear magnetic resonance(1H NMR)and13C NMR spectrum of the resultant were performed by BRUKER ARX600nuclear magnetic resonance spectroscopy.The diffuse reflectance spectrum was measured on a Shimadzu UV-240recording spectrophotometer and energy-dispersive analytical x-ray analysis was per-formed on a Falcon scanning electron microscope oper-ated at20kV.III.RESULT AND DISCUSSIONA.The influence of different surfactants on theBi2S3morphology and structureSurfactant has both lipophilic and hydrophilic groups, on that very account surfactant can not only bridge the interface between hydrophobic and hydrophilic phases for enhancing the compatibility in two-phase system,but also assemble into the nanometer-sized micelles,which may be used as“nanoreactor”.Therefore,the surfactants that are aligned in a certain way in solution are adsorbed on the liquid surface,or interface of two immiscible solutions, and the formed orientation arrangement can be used as template for assembling the ideal nanostructural materials consequently.According to Murphy and Jana,19the aspect ratio of a shape is defined as the length of the major axis divided by the width of the minor axis.Thus,spheres have an aspect ratio of1.Murphy pointed out nanorods as materials that have a width of;16100nm and aspect ratios greater than1but less than20;and he considered nanowires analogous materials that have aspect ratios greater than20. It is generally accepted that anisotropic growth of crystals induced by different surface energies using surfactants as“soft”templates is the reason for the formation of most of the long nanowires.20The surfactant molecules can selectively adsorb and bind onto certain surfaces of the nanocrystal seeds and thus reduce the growth of these surfaces,this selective capping effect induces the nanocrystal elongation along a specific direction to form nanowires.According to Gangulia et al.,21some cationic type surfactants are helpful to the formation of rodlike micelles, the shape of the rodlike micelle promotes the formation of rodlike nanomaterials from ionic precursors;in the case of surfactants,medium-strength binding of a surfactant to a growing crystal face helps direct nanorod growth.So the aspect ratio of the resulting nanorods can be controlled by the shape and size of the micellar/microemulsion template, and by the relative concentrations of precursors,salts,and surfactants.19High-resolution scanning electron microscopic (HRSEM)images of the product obtained in propanediol with the assistance of PVP,CTAB,and PEG800at 187°C for6h are shown in Fig.1respectively.The left side of Fig.1(a)shows that the Bi2S3particles obtained with the assistance of PVP are composed of nearly circular and elliptical microspheres,the images observed are circular and elliptical shaped,with a diameter of approx-imately8.5–15l m.The image recorded in the right side of Fig.1(a)is a typical elliptical pattern,which is composed of a number of nonuniform distributed nanorods in clusters(approximately14–17l m in diameter). However the image recorded in Fig.1(b)completely displays thefine structure of elliptical microsphere,in which nonuniform rectangular-shaped structure(approx-imately300–400nm long and125–145nm wide)can be observed,the average aspect ratio can be estimated as2.4–2.8.It is clearly observed that these individual rectangular-shaped particles are neither uniformly piled up,nor homoepitaxial growth of one dimensional structures from the center,they clump together to form elliptical clusters under the action of PVP.The explanation is that PVP with an effective molec-ular weight of38,400,have a more rigid structure in comparison to other surfactants used in this article,when the PVP adsorb and bound onto regular surface of growing crystals,the PVP is likely to have more seg-ments in contact with the surface,compared with aflexible polymer.22On the other hand,PVP can accept protons either through the O or the N atoms of the pyrrole ring,forming hydrogen bond with other polar compounds, and providing coordination sites for positive ions.In addition,as a result of PVP containing a pyrrole ring with a more rigid structure,the rigid surfactant layer is formed due to restricted orientation of pyrrole ring,21more seg-ments binding to the surface of growing crystals may hinder bismuth sulfide nuclei growth along the c-axis direction for the one-dimensional structure,this leads to the formation of rectangular-shaped particles with low aspect ratio.Therefore with the assistance of PVP,only circular and elliptical shaped clusters can form.Due to the presence of van der Waals attraction between the small grains,the grains and small particles clump together to form large grains.The large grain which has higher surface energy is prone to reunite,but the presence of PVP can not effectively reduce surface effects in the nanoparticles, so that the nanoparticles are easily reunited to form the circular and elliptical shaped microspheres.HRSEM images of the product obtained in propanediol with the assistance of CTAB are shown in Figs.1(c)and 1(d),the Fig.1(c)shows that all of the Bi2S3particles are nanorods.With increasing magnification,the rodlike Bi2S3nanocrystals(Bi2S3nanorods)are clearly observed in Fig.1(d).The average lengths of the long and short axes of nanorods are310–600nm and25–65nm respectively, with the average aspect ratio being4.5–12.9.The forma-tion of Bi2S3nanorods is attributed to the result of the particles being well capped by the cationic surfactants (CTAB).CTAB is a typical quaternary ammonium surfactant, containing both positively charged head group and long-chain hydrophobic group,which are easily adsorbed on negatively charged solid surface.In aqueous phase, adsorption of CTAB takes place through an ion-pair structure,hence,the cationic surfactant ion can absorb on an oppositely charged solid surface site that is unoccu-pied by counterions.Due to positively charged head group,the CTAB helps in formation of an assembly ofsurfactant molecules on the surface of the growing nanorods (bearing negative charge).Chen et al.23think that CTAB is easily adsorbed on crystal surface,the CTAB on the surface plays an essential role on distribution in reaction,with its long linear carbon chain preventing the occurrence of reunion.However,due to steric hindrance and electrostatic interactions,the CTAB may form membrane on (001)surface of bismuth sul fide nuclei,this is unfavorable for the growth of bismuth sul fide nanorods with higher aspect ratio along the c -axis direction,leading to formation of shorter nano-rods instead.Moreover,rodlike micelles can be formed from the cationic CTAB systems,and the shape of the rodlike micelle promotes the formation of Bi 2S 3nanorods from ionic precursors in the cationic CTAB systems.Unlike the particles obtained in propanediol with the assistance of PVP and CTAB,the Bi 2S 3particles obtainedin propanediol with the assistance of PEG800all have longer rodlike morphologies with a uniform distribu-tion,as shown in Fig.1(e).The observed average lengths of the long and short axes of nanorods in Fig.1(f)are 1.4–2.1l m and 41–42nm respectively,with the average aspect ratio being 34.0–51.5.According to Murphy and Jana,19the longer rodlike particles obtained with the assistance of PEG800should be considered as nanowires.In the PEG800system,it is certain that the TAA plays a critical role in it.TAA,as a complexing agent,has a sulfur functional group,it can coordinate with the propanediol-solvated Bi 31ions,resulting in formation of bismuth (III)sul fide-complexed clusters,according to Zhang et al.report.24So the crystalline nuclei of Bi 2S 3can be formed through pyrolysis of bismuth (III)sul fide-complexed clusters in the early stage ofreaction.FIG.1.Field-emission scanning electron microscopy (FESEM)images of the Bi 2S 3products synthesized by means of different surfactants (a,b)polyvinylpyrrolidone (PVP),(c,d)cetyl trimethyl ammonium bromide (CTAB),(e,f)polyethylene glycol (PEG)-800,respectively.It is believed that the Bi2S3nuclei are microcrystal, therefore,the bonding between the Bi2S3nuclei and TAA is anisotropic.Accordingly,it is plausible that the disso-ciation of CH3CSNH2occurs at local regions of the bismuth(III)sulfide-complexed clusters,where the Bi31 ions are exposed to the S2Àexisting in the propanediol solution.Therefore,during the reflux process,the forma-tion of Bi2S3proceeded along specific directions.In a way, the TAA acted as a“soft template”,leading to the growth of Bi2S3nanowires.Due to the hydrogen bonding between the hydroxyl groups,capping agent PEG molecules can form long-chain amphiphilic molecules produced by linking repeating units of ethylene oxide,thus PEG may be self-assembled into rodlike micelles which can act as“soft-template”.25So in the long chain consisting of PEG molecules,Bi2S3nuclei will be arranged along the direction of chain,much like a number of small particles adsorbed on the chain.With an extension of the reaction time,these Bi2S3nuclei grow up fast along the direction of chain until they connect to the long strips in the pattern.Simultaneously with the atomic interdiffusion,crys-tallization proceeds more completely,gradually changing into the Bi2S3nanowires with a higher aspect ratio.To verify the formation of bismuth(III)sulfide-complexed clusters before the formation of crystalline nuclei of Bi2S3,the compound of bismuth trichloride with TAA was analog synthesized by solid phase synthesis at room temperature with acetonitrile added as initiator.The actual experiments were performed as follows:0.9395g (9mmol)TAA and0.9395g(3mmol)bismuth trichloride were mixed well together.The mixture was carefully ground in an agate mortar for30min and several drops of acetonitrile were added as initiator.Atfirst,the mixture became slightly viscous,indicating that the reaction did happen.Soon after that,the mixture became powdery. Grinding lasted for8h,the product was dried in the vacuum at80°C for4h and then washed with anhydrous methanol until no chloride ion was found in the washing solution.The obtained powder was next dried in the vacuum at80°C andfinally a complex of TAA with bismuth trichloride was obtained.The structural details of the resultant were elucidated by the electrospray ionization mass spectrometry(ESI-MS),as shown in Fig.2.As concluded from the main peak at m/z5541and319,the species present are assigned to{(S)Bi(l-S)2Bi(S)-5H1}and{(SC)(S)Bi (l-S)12H1}respectively.Among the major species present,the peaks at m/z5597,569,513,and275are assigned to{(S)2Bi(l-CS)2Bi(S)-5H1},{(S)Bi(l-CS)2Bi (S)-H1},{Bi(l-S)2Bi(S)-H1},and{(S)2Bi12H1} respectively,the peak at m/z5864is assigned to [SC(CH3)5NH]2Bi{l-(SC(CH3)5NH)}2Bi[SC(CH3)5 NH]21,and is consistent with the composition[SC(CH3)5 NH]2Bi{l-(SC(CH3)5NH)}2Bi[SC-(CH3)5NH]2(abbre-viated as M)of the resultant.Besides,the peaks at m/z5 848.5,818.5,663.5,and647.5are assigned to[(M-CH3)1 H1],[(M-3CH3)1H1],[(M-2CH3-4C(CH3)5NH)-H1], and[(M-2CH3-NH-4C(CH3)5NH)-2H1]respectively. Thefinding further demonstrates that TAA can co-ordinate with bismuth(III)to form[SC(CH3)5NH]2Bi {l-(SC(CH3)5NH)}2Bi[SC-(CH3)5NH]2dimeric com-plexes.To study coordination properties of the formed dimeric complexes,the IR experiments were performed.As shown in Fig.3,the IR spectrum of the dimeric complexes displays a medium strong stretching vibration of C5N bond at1628cmÀ1,and a stretching vibration of N–H bond at3436cmÀ1.Besides,the peak around1394cmÀ1 FIG.2.Electrospray mass spectrum of the resultant.is assigned as a C–H bending vibration in dimeric complexes.It is also found that the peak at531cmÀ1 may be due to the stretching vibration of distinct Bi–S–Bi bridging bond,demonstrating that the TAA coordinate with bismuth(III)to form the dimeric complexes.The1H NMR spectrum of the bismuth(III)sulfide complex can also give another evidence for the interaction between bismuth(III)and TAA.Because TAA is not soluble in CDCl3and the complex is partially soluble in CDCl3,the1H NMR spectrum in Fig.4(a)must be from the H nucleuses in the complex.1H NMR of the complex in the CDCl3solution has a strong resonance peak at7.261 ppm,this is because all the NH groups in ligand SC (CH3)5NH*are equivalent.Moreover,the1H NMR spectrum of the complex shows several weak peaks within the range of1.5–1.65ppm,to observe the these weak peaks,scanning signal accumulation technique was applied to the bismuth(III)sulfide complex,the results are shown in Fig.4(b).It can be seen from Fig.4(b),the1H NMR spectrum of the bismuth(III)sulfide complex has a resonance peak around1.58with the integrated area about48,probably due to small amount of cluster.The two resonance peaks at 1.253ppm and0.814ppm with the integrated area about3 may be from the H nucleuses in the CH3group,however another two resonance peaks at2.042ppm and2.106with the integrated area about3may be also from the H nucleuses in the CH3group,indicating two CH3group with different steric configuration.Thefindings show that probable structure of the cluster is[SC(CH3a)5NH][SC (CH3b)5NH]{Bi l-(SC(CH3)5NH)}14Bi[SC(CH3)5NH]2, in which,CH3a and CH3b are assigned as two CH3group with different steric configuration.So when the TAA coordinated with bismuth(III)in the typical experimental procedure,a dimmer of bismuth(III) sulfide complexes should be formedfirst,the probable structure of the complex for bismuth(III)sulfide can be seen in Scheme1.Combined analysis of structure of bismuth(III)sulfide-complexed clusters and morphology of the product obtained in propanediol with the assistance of PEG800,the possible reaction mechanism can be proposed as the following.i)The formation of dimmer of bismuth(III)sulfide complexes by the coordination reaction between the sulfur sources and the Bi III-propanediol complexes formed at the beginning of the solvothermal process;ii)Pyrolysis of bismuth(III)sulfide complexes dimmer, and the successive nucleation of Bi2S3nanocrystals to form crystalline nuclei of Bi2S3nanowires;iii)Formation of one-dimensional Bi2S3nanowires originated from continuous growth of crystalline nuclei along rod-shaped micelles by solid–liquid–solid and Ostwald ripening.It is well known that the surfactant molecules sponta-neously organize into rod-shaped micelles(or inverse micelles)when their concentrations is10times more than the critical micelle concentration of the surfactant.These anisotropic structures can be used as soft templates to promote the formation of1D nanostructured materials when coupled with an appropriate chemical reaction. There are a few functional groups such as S5O,–O–,or C5O on molecules of the surfactant,which are hydro-philic,and they can provide coordination sites for positive Bi31ions in propanediol solution,these sites on the molecules of the surfactant provide the necessary hetero-geneous nucleation sites.On the other hand,TAA,as a sulfur sources,has a sulfur functional group,which can coordinate with the propanediol-solvated Bi31ions, resulting in formation of bismuth(III)sulfide complexes dimmer.Herein,when temperature is about120°C,pyrolysis to Bi2S3nanocrystals occurs via[SC(CH3)5NH]2Bi {l-(SC(CH3)5NH)}2Bi[SC(CH3)5NH]2and by elimi-nation or sequential elimination of C(CH3)5NH and followed by elimination of l-(C(CH3)5NH).These sulfide complexes dimmer,thus provide a source for Bi2S3crystalline nuclei.These crystalline nuclei then continuously grow along rod-shaped micelles by solid–liquid–solid and Ostwald ripening,andfinally form one-dimensional nanowires of monocrystalline structure.If surfactant is absent in the reaction system,the small amount of short Bi2S3nanorods should be obtained.It can be concluded that the anisotropy of Bi2S3crystal structure plays a key role in the formation of nanowires,the surfactant PEG800however not only plays a supporting role,but also a stabilizing role in the reaction system.B.The influence of the different molecular weight PEG on the Bi2S3morphology and structureAs can be seen from Fig.5,the morphologies of the product obtained in propanediol in the presence of PEG with different molecular weights are significantly differ-ent.PEG as a macromolecular dispersant(general formula HO(CH2CH2O)n-H),which is mainly composedof FIG.3.The infrared spectrum of the dimeric complexes.ethylene oxide repeating units,originates from the chain polymerization of ethylene oxide.Just because of this,the PEG has a good solubility in water.The polymermolecules bear only one hydrophilic “head ”group hydroxyl (OH)in the entire molecular chain,the number of functional groups signi ficantly decreases with an increase of molecular weight,and the ability in reducing surface tension of solvent decrease accordingly.More-over,with an increase of molecular weight,the degree of a chain crosslinking increases,and then hard to soft segment ratio increases accordingly,the effect of the hard part in the polymer becomes stronger and more distinct,26this leads to the polymer molecules becoming more rigid.So with an increase of molecular weight,morerigidFIG.4.The proton nuclear of 1H atom magnetic resonance (1H NMR)spectrum of the bismuth (III)sul fidecomplex.SCHEME 1.Probable structure of the bismuth (III)sul fide-complexed clusters.segments binding to the surface of growing crystals may hinder bismuth sulfide nuclei growth along the c-axis direction,leading to the formation of nanorods with low aspect ratio.HRSEM images of the product obtained with the assistance of PEG400are shown in Figs.5(a)and5(b), the Bi2S3particles all have wirelike morphologies with a uniform distribution,the observed average lengths ofthe FIG.5.FESEM images of the products using(a,b)PEG400,(c,d)PEG800,(e,f)PEG4000,(g,h)PEG20000as surfactants.long and short axes of nanowires in Fig.5(b)are2–3l m and40–41nm respectively,with the average aspect ratio being50–75.In contrast to Figs.5(a)and5(b),the images recorded in Figs.5(c)and5(d)show that the Bi2S3particles obtained with the assistance of PEG800all have wire-like mor-phologies,but the average aspect ratio changes from 50–75into34.0–51.5with the PEG400being replaced by PEG800.Because PEG400is“softer”than the PEG800,leading to the anisotropic growth of crystals more easily.When the PEG4000was used in place of PEG800in the typical experimental procedure,Figs.5(e)and5(f) show that all of the Bi2S3particles are nanorods with a nonuniform distribution,the observed average lengths of the long and short axes of nanowires in Fig.5(f)are 500nm and80nm respectively,with the average aspect ratio being6.25.Because PEG4000is more“rigid”than the PEG800,leading to the formation of nanorods with low aspect ratio.The growth of Bi2S3crystal includes the special solid–liquid–solid phase transformations and Ostwald ripening process,in which the surfactant plays a key role.27The PEG polymer,as a surfactant,can also play a critical role in capping agent.28As a result,PEG is able to kinetically control the growth rates of Bi2S3 nanorods or nanowires by interacting with the surface of one-dimensional high-energetic Bi2S3nanorods through adsorption and desorption.In comparison with PEG800,PEG4000has a longer chain,it is able to absorb and cap Bi2S3crystal rods with a larger size, leading to Bi2S3nanorods growing faster than that with PEG800as surfactant,and causing nonuniform size distribution of nanorods.When the PEG20000was used in place of PEG800in the typical experimental procedure,the Bi2S3products are made up of spherical budlike microspheres with chainlike arrangement[Fig.5(g)].With increasing magnification,it is observed that the morphologies of spherical budlike microspheres display sproutslike pattern,and they are composed of a number of uniform distributed nanorods in clusters(approximately7.3–10l m in diameter),as shown in Fig.5(h).The explanation is that PEG20000with an effective molecular weight of20,000has a more rigid structure in comparison to PEG800,and PEG4000sur-factants.The rigid chain of PEG20000binding to the surface of growing crystals may hinder bismuth sulfide nuclei growth along the c-axis direction for the one-dimensional structure,leading to formation of spherical budlike microspheres.Besides,PEG20000with long-chain structure,has different surfactant-active from PEG800,and become tangled and reunited easily,also leading to formation of spherical budlike microspheres with the diameter about 10l m.C.The influence of solvent medium on the Bi2S3 morphology and structureIt is believed that the solvent should have the proper boiling point,viscosity,and surface tension,as can be seen in Table I,such physical and chemical properties can influence the solubility,reactivity,and diffusion behavior of the regents and the intermediate.29In our typical exper-imental system,to study the influence of solvent on the growth process of Bi2S3,the solvent propanediol was changed with distilled water,glycerol,and ethylene glycol respectively with all the other parameters of the typical reaction unchanged.The experimental results show that the boiling point and viscosity of the solvent used play an important role on the formation of uniform Bi2S3nanowires. From Table I,it can be seen that the water has the lowest boiling point and viscosity,while the glycerol has the highest boiling point and viscosity among the solvents used in this study described by this article;however the propanediol and the water all have an almost identical surface tension,the largest value among the four surfac-tants used in experiment,and ethylene glycol has the least surface tension.So in our typical experimental system, when the water was used as solvent instead of propanediol, pure bismuth sulfide phase cannot be acquired.With glycerol as solvent,although the pure phase of ortho-rhombic type of Bi2S3can be obtained,the HRSEM images exhibit a majority of uneven-sized blocks with a small amount of nanorods,as shown in Fig.6(a).Zhu et al.30think that the solvent viscosity and surface tension may be an important factor to affect morphologies of the product.Glycerol is one of the most viscous organic solvents,its viscosity is much larger than that of ethylene glycol and water(shown in Table I),which is not beneficial to the dispersion of Bi2S3nanorods,therefore, well-dispersed uniform Bi2S3nanorods cannot be formed in the presence of glycerol solvent.The ethylene glycol has an appropriate viscosity with the least surface tension, which is beneficial to formation of well-dispersed uniform Bi2S3nanorods,but it has a higher boiling point,leading to the reaction system requiring too high temperature.So in our typical experimental system,when the ethylene glycol was used as solvent instead of propane-diol,the HRSEM images recorded in Fig.6(b)exhibit a majority of nonuniform sized nanorods with a small SolventBoilingpoint(°C)Viscosity(mPa s)SurfacetensionmN/m HOCH2CH(OH)CH3188.256.072.0 H2O100 1.0172.75 HOCH2CH(OH)CH2OH290.0141263.3 (CH2OH)2197.325.6646.499J.Mater.Res.,2014。

磁共振成像常用技术术语

磁共振成像常用技术术语

absolute intensityA display or plot mode in which the signal intensity is proportional to theacquisition timeattenuationThe control applied to voltages (including signal from the sample) within the spectrometer. High attenuation gives low-voltage, low-attenuation gives high-voltage.B 0The static magnetic field. The magnetic flux density is expressed in tesla,T, or often, as an equivalent 1H resonance frequency (for example, 300MHz for a 7 T magnet).B 1Magnetic field associated with a radio-frequency (r.f.) pulse. Often expressed as an equivalent value in kHz.bandshapeUsually used when referring to a complex lineshape or a group of overlapping plex bandshapes often arise from quadrupolar nuclei (see figure 2).centrebandThe signal at the isotropic chemical shift. Its position is the same at all spin-rates.channelThe individual frequencies or frequency bands of a spectrometer. For example: H-channel (proton), C-channel (carbon) or broad-band (or X) channel (usually anything except H).chemical shiftNumber used for reporting the position of a line (νi )relative to a reference line (νref ) in a high-resolution spectrum. The chemical shift parameter is denoted δ and quoted in ppm.coherence pathwayDescription of an experiment that allows the excitation of the spins to be followed. Useful for experiments where excitation or selection of signal from one-, two- or multiple-quantum transitions is needed.contact timeTime during which two matched radio-frequency fields are applied simultaneously in a CP experiment.CPCross-polarisation. Any experiment where energy (magnetisation) is transferred from the nuclei of one element (often H) to those of another.dead-time Time between a pulse and the switch on of the receiver. The spectrometercircuitry needs time to settle after transmitting the high voltage associatedwith a pulse before it can detect the very low voltage associated with thesignal from the sample. See figure 1.610×−=ref ref i νννδTerminology Commonly Used in NMR SpectroscopyFigure 2. Bandshape from a single 11B environment.磁共振成像常用技术术语d.c. offset Constant-value offset occurring in the FID (see “Problems”). Results ina central (zero-frequency) “spike” artefact in the spectrum whentransformed.deconvolution Mathematical process used to determine the intensities of overlappinglines.digital resolution This depends on the Fourier number. The bigger the Fourier number thegreater the number of data points per Hz of the spectrum and the higherthe digital resolution. See “Processing”.DP Direct-polarisation. An experiment in which the nuclei to be observedare excited directly.duty cycle A value used to assess whether anexperiment might damage thespectrometer (or the sample). Theduty cycle should never exceed 20 %(see “How to Choose a RecycleDelay”)dwell Spacing between data points in the time-domain. Can depend on theway acquisition is implemented but, commonly, dwell = 1/spectral width. endcap Open rotors have to be closed with endcaps before they can be spun. FID Free Induction Decay (see figure 1).field Magnetic field, with flux density quoted in T (Tesla) for the static magneticfield (B). For the magnetic field associated with an r.f. pulse the fluxdensity is given in mT or, more usually, expressed as a kHz equivalent(see “Matching”).flip-back Experimental procedure for shortening recycle times (see “How to Choosea Recycle”).Fourier number The number of points used in the FT. Always a power of 2.frequency domain Where information is displayed as a function of frequency - the spectrum FT Fourier Transform. Mathematical process to convert time-domain tofrequency-domain. Designed to work with 2n (n = integer) data points. gain Amplification applied to the received signal.Gauss Non-SI unit of magnetic field flux density. The SI equivalent is Tesla (T),1 T = 10,000 Gintensity On its own - the height of a line. Integrated-intensity is the area under theline.linebroadening Spectra can be artificially linebroadened to improve their appearance.This involves multiplying the FID with a decaying function prior to the FT.See “Processing”.lineshape The shape of individual lines in a spectrum. Commonly, Gaussian orLorentzian (figure 3) or a mixture of the two, are encounteredexperimentally.linewidth This is usually the full width at half-height (δν½)r.f. on-timer.f. on-time + r.f. off-timeduty cycle =magic-angle54.7° or 54° 44´magnetisation when described classically (non-quantum mechanically) an ensemble ofspins at equilibrium in an external magnetic field has a net magnetisationprecessing about an axis aligned along that field.magnetogyric ratio Symbol γ . A fundamental physical constant of elements with non-zerospin. For example γH is 2.675x108 rads -1T -1.matchShort for Hartmann-Hahn match (see “Matching”)noisenormalised intensity Signal intensity can be multiplied by an arbitrary factor to give a particularheight to the highest (often) line or the integrated intensity. Opposite ofabsolute intensity.nuclear spin quantum number Symbol I . A fundamental property of a nucleus. Only nuclei with I > 0are said to be NMR “active”.phase (1)The phase of a pulse relates to its position in the xy plane of the rotating frame.phase (2)The phase of a spectral line comes from the way in which the real and imaginary components of a complex FT are combined (see “Processing”).phase cycling The way in which the phase of a pulse (or the receiver) is changed duringsuccessive repetitions of a pulse sequence. Used to suppress artefactsand select specific coherence pathways.ppm Parts per million. Usual way of reporting a chemical shift. A frequencydifference ∆ Hz 610×∆≈n observatio ν ppm precession“Movement of the axis of a spinning body around another axis” (as a gyroscope)probeThe business end of the spectrometer, where the sample goes.pulse angle When described in the rotating frame a pulse rotates the magnetisationthrough an angle θ. A pulse that rotates the magnetisation though 90° iscalled a 90° pulse.pulse duration Time for which a pulse occurs.quadrupole Any nucleus with I > ½.recycle (time)Or pulse delay or relaxation delay. Time between the end of dataacquisition and the start of excitation in successive repetitions of a pulsesequence. (See “How to Choose a Recycle”).referenceThe material giving the signal which defines the zero position in a high-heightresolution spectrum.repetitionsThe number of times a pulse sequence is repeated in an experiment.resolutionThe ability to separate closely spaced lines (see figure 4). As a rule of thumb,a pair of lines will be resolved if their linewidth is less than their separation.resolution enhancementThe opposite of linebroadening. An FID multiplied by an appropriate combination of increasing and decaying functions can yield extra resolution in a spectrum. See “Processing”.rotary echoA feature of an FID that occurs at intervals of 1/spin-rate (see “How to Set the Magic-angle”). They give rise to spinning sidebands in the spectrum.rotating frameA mathematical tool to make the effect of a pulse easy to visualise.Magnetisation precessing at ν Hz in a laboratory-based xyz axis system appears static in an axis system (frame) rotating at ν Hz.rotorThe container that holds the sample. Often referred to in terms of its outside diameter (for example, 5 mm).saturationCondition that arises when there is no population difference between excited and ground states. No signal is observable under such conditions.sidebandsOr spinning sidebands. Under some circumstances sidebands appear in a spectrum. They can occur on both sides of a centreband and separated from it by a frequency equal to the spin-rate. A spectrum may contain a manifold of sidebands and the centreband is not necessarily more intense than all of the sidebands.signalThe FID or one or more of the lines in a spectrum.signal-to-noise ratio (S/N)Ratio of the height of a line or signal (usually the largest) to the noise.Definitions of the measurement of noise vary. Signal increases as n (the number of repetitions) but noise only increases by √n so S/N increases by √n.spectral widthDifference in frequency of the two ends of the full spectrum. Not to be confused with the now largely obsolete term sweep width.spinA property of a nucleus with non-zero nuclear spin-quantum number (I ),as in spin-½. Or, simply, a nucleus with a magnetic moment.spin-lockIf, after a 90°x pulse a second, long-duration (spin-lock) r.f. field is applied along the y-axis the magnetisation is said to be spin-locked.spin-rateThe rate at which the sample is spun.spin-temperature inversionA manipulation carried out within the phase cycling of a CP experiment to remove magnetisation originating directly from the X-channel contact pulse.standard Any sample used to set-up the spectrometer and/or to define the zeroposition in the spectrum.Figure 4. Two lines of constant spacing but different linewidth.T 1Spin-lattice relaxation time-constant. Relates to the time taken for excited spins, in the presence of B 0, to loose energy to their surroundings and return to their equilibrium state.T 1ρSpin-lattice relaxation time-constant in the rotating frame. As for T 1 but this time in the presence of an applied radio-frequency field B 1.T 2Spin-spin relaxation time-constant. Relates to the time for a conserved exchange of energy between spins.T 2*A time-constant sometimes used to describe the decay of the observed time-domain signal (T 2* ≤ T 2). The shorter T 2* the broader the associated signal(s) in the spectrum.time-domainWhere information is recorded or displayed as a function of time (see figure 1).transmitter offsetThis allows fine control of the position of a transmitter (carrier frequency).With an appropriate offset, signals can be put exactly on-resonance or a specific amount off-resonance. Can be applied to any spectrometer channel.truncationIf the acquisition time is shorter than the FID then truncation of the FID is said to have occurred (See “Problems”).zero filling If the number of data points is not a power of two then zeroes are addedto the acquired data so that the total number of points Fourier transformedis 2n . Zero filling adds no signal to the spectrum but it can improveresolution (see “Processing”).。

奥林巴斯光谱分析仪应用领域英文版

奥林巴斯光谱分析仪应用领域英文版

奥林巴斯光谱分析仪应用领域英文版Olympus handheld spectrometer has the characteristics of fast, non-destructive and high precision when testing. After years of continuous development and improvement, it has been widely used in all walks of life.The handheld spectrometer is a kind of spectral analysis instrument. Based on XRF spectral analysis technology, when the high-energy X-ray in the inner layer of the atom collides with the atom, an inner electron will be expelled, resulting in a hole, making the whole atomic system in an unstable state. When the electrons in the outer layer jump into the hole, the photons may be absorbed again, and the Auger effect will occur when another secondary photoelectron in the outer layer is expelled, The secondary photoelectrons expelled are called Auger electrons. This is how the handheld spectrometer works.Handheld spectrometers are widely used in metallurgy, geology, nonferrous metals, building materials, commodity inspection, environmental protection, health and other fields, especially in the field of RoHS detection.1. Alloy material analysisAt present, in the field of alloy material testing, it is mainly used for the on-site determination of elementcomposition in metal materials in military, aerospace, steel, petrochemical, electric power, pharmaceutical and other fields. It is an indispensable rapid component identification tool in the industrial and military manufacturing fields with the rise of the world economy.2. Heavy metal detectionIn addition to the traditional alloy material detection, precious metals, ROHS compliance screening, ore analysis, handheld XRF instruments also play an important role in geological exploration and environmental assessment. By analyzing the heavy metal elements in the soil, we can know the mineral distribution and pollution distribution of the whole region.3. Other areasXRF technology can also be used in some new fields, such as wind power and automobile. By detecting the content of metal elements in oil, the wear of bearings can be indirectly reflected.Many new XRF application fields are being developed, which makes XRF technology widely used in various industries. For example, XRF alloy analyzer is also used for welding quality control in the production and manufacturing process of thefactory.。

基于残差自编码器的电磁频谱地图构建方法

基于残差自编码器的电磁频谱地图构建方法

doi:10.3969/j.issn.1003-3114.2023.02.007引用格式:张晗,韩宇,姜航,等.基于残差自编码器的电磁频谱地图构建方法[J].无线电通信技术,2023,49(2):255-261.[ZHANG Han,HAN Yu,JIANG Hang,et al.Electromagnetic Spectrum Map Construction Method Based on Residual Autoencoder [J].Radio Communications Technology,2023,49(2):255-261.]基于残差自编码器的电磁频谱地图构建方法张㊀晗,韩㊀宇,姜㊀航,付江志,林㊀云∗(哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001)摘㊀要:频谱地图是一种表征区域内功率谱密度(Power Spectral Density,PSD)空间分布的可视化方法,在实现频谱资源空间复用等方面具有重要作用㊂针对实际复杂场景下频谱地图构建精度低的问题,提出了一种基于残差自编码器的频谱地图构建方法,通过添加残差连接使编码器的信息可以直接映射到解码器相应部分,以提高频谱地图构建中的网络收敛性能并降低误差㊂仿真实验结果表明,所提出的方法相比于基于传统插值方法和自编码器模型具有更好的性能,在0.01采样率下其构建误差降低了9.7%㊂关键词:频谱地图;残差自编码器;深度学习中图分类号:TN919.23㊀㊀㊀文献标志码:A㊀㊀㊀开放科学(资源服务)标识码(OSID):文章编号:1003-3114(2023)02-0255-07Electromagnetic Spectrum Map Construction Method Based onResidual AutoencoderZHANG Han,HAN Yu,JIANG Hang,FU Jiangzhi,LIN Yun ∗(College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China)Abstract :Spectrum map is a visualization method to characterize the spatial distribution of Power Spectral Density (PSD)in aregion,and plays an important role in spatial reuse of spectrum resources.To solve the problem of low accuracy of spectrum map construc-tion in actual complex scenes,a spectrum map construction method based on residual autoencoder is proposed.By adding residual connec-tions,the information of the encoder can be directly mapped to the corresponding part of the decoder,so as to improve network convergence performance and reduce the error in spectrum map construction.Simulation results show that the proposed method has better performance than the traditional interpolation method and autoencoder model.And its construction error is reduced by 9.7%at 0.01sampling rate.Keywords :spectrum map;residual autoencoder;deep learning收稿日期:2022-12-07基金项目:国家自然科学基金(61771154)Foundation Item :National Natural Science Foundation of China(61771154)0 引言近年来,随着通信技术的快速发展和各种新型通信设备的应用部署[1],日益稀缺的电磁频谱资源和当前粗放的频谱分配方式及其导致的频谱资源利用率低下问题之间的矛盾愈发突出[2]㊂电磁频谱作为一种有限的国家重要战略资源,当前迫切需要对其进行合理分配和精细化管理以提高电磁空间的频谱利用率[3-4]㊂电磁频谱地图作为一种频谱态势的可视化手段,其精准构建方法受到学者们的广泛关注[5]㊂电磁频谱地图(Spectrum Map)又称无线电地图(Radio Map)或无线电环境地图(Radio Environment Map),是一种从时间㊁频率㊁空间以及能量等角度精确表征区域空间中电磁频谱态势分布的可视化方法[6]㊂它通过映射区域空间中功率谱密度(Power Spectral Density,PSD)等信息的分布来反映频谱态势的分布情况㊂通过实时构建的电磁频谱地图,可以及时发现频谱空洞,定位 黑广播 伪基站 等非法用频设备,在完善频谱空间精细分配与管理㊁提高电磁环境监管治理水平等方面具有广阔的应用场景[7]㊂受限于数据获取在空间上的稀疏性和不均匀性,如何利用残缺数据构建完整的频谱地图一直是频谱地图构建中的重要问题㊂对于频谱地图的补全构建方法,夏海洋等人[4]将其总结为参数构建法㊁空间插值构建法以及混合构建法3种类别㊂参数构建法通常使用发射机位置㊁发射参数等先验信息构建频谱地图[8]㊂空间插值法常用的算法包括最邻近法(Nearest Neighbor,NN)[9]㊁径向基函数法(Rad-ial Basis Function,RBF)[10]以及克里金法(Krig-ing)[11]等㊂空间插值法不依赖于其他先验知识,仅使用获取的离散数据间的空间相关性来估计空缺位置的监测数值㊂一般来说,参数构建法在先验信息丰富的场景下可以得到更高的建模精度,但在没有或先验信息较少的场景下性能会急剧下降㊂考虑到一般实际场景中,先验信息获取困难,所以空间插值法是当前最流行的方法㊂混合构建法则是上述两种方法的结合,可以在没有或先验信息较少的情况下获得更高精度的结果[12]㊂近几年,随着深度学习技术的快速发展和在多个领域特别是图像生成领域的广泛应用㊂一些研究者参考图像生成的方法,开始尝试使用一些基于深度学习的频谱地图构建方法㊂胡田钰等人[13]使用生成对抗网络实现来三维空间的频谱态势补全,Imai 等人[14]提出利用卷积神经网络进行无线电传播预测,Teganya 等人[15]使用深度自编码器学习传播的空间结果并进行无线电地图的预测㊂Saito 等人[16]通过使用路径损失回归将空间插值问题转化为阴影调整问题,并使用编码解码模型和一种新的渐进学习的训练方法㊂本文提出了一种残差自编码器的频谱地图的构建,在模型中添加残差连接以提高模型的收敛速度并降低预测误差㊂然后,参考图像生成领域的工作[17],在输入中添加一个二进制的掩码用以区分输入缺失位置和测量值㊂最后,通过一个仿真实验来验证提出的残差自编码器与一般自编码器以及传统插值相比的性能优势㊂1 电磁频谱地图构建系统模型本文主要研究和讨论基于PSD 的电磁频谱地图构建问题㊂一般来说,为了便于理解和实现,当前的频谱地图通常是基于单频的PSD 构建的,所以本文后续只考虑单频PSD 的估计问题㊂定义如下场景:在一个固定的地理区域χ中分布着若干个工作在同一特点频点的辐射源S ㊂设Υs (f )表示第s 个辐射源的发射PSD,H s (x ,f )表示第s 个辐射源与空间位置x 处具有各项同性天线的接收器之间的信道频率响应㊂假设在较短时间内Υs (f )和H s (x ,f )是时不变的,且不同辐射源信号之间是不相关的,则在x 处的接收PSD 总和可以表示为:Ψ(x ,f )=ðΥs(f )|H s (x ,f )|2+υ(x ,f ),(1)式中,υ(x ,f )表示由热噪声㊁背景辐射噪声以及其他原因造成的干扰㊂同时,空间中分布着一定数量的装备各项同性天线的接收设备,在不同的位置通过周期图或者频谱分析的方式感知PSD 测量值Ψ~(x n ,f ),并将测量值发送至融合中心㊂融合中心通过n 个位置的PSD 测量值,估计和映射在空间中所有位置的PSD 值Ψ(x ,f )㊂整体的电磁频谱地图构建框架如图1所示㊂图1㊀电磁频谱地图构建框架Fig.1㊀Construction framework of electromagnetic spectrummap㊀㊀关于传感器的分布问题,有些研究成果为进一步节省成本,使用移动监测的策略㊂然而移动监测本身需要一定的监测时长,在频谱态势变化敏捷的场景下难以取得良好的效果;由于监测路径是连续的,会进一步加重监测数据在空间上分布不均匀的问题㊂所以本文从通用性的角度出发,仍考虑分布式监测传感器的策略㊂现有数据驱动的频谱地图构建方法通常依赖于某种插值算法㊂然而这些算法无法从经验中学习,只能通过数据自身的规律性完成频谱地图的补全㊂显然,这种方法在场景较为简单㊁辐射源数量较少㊁传感器分布广泛的情况下可以取得不错的结果㊂但在一些复杂场景下,特别是传感器分布较为稀疏时,插值算法难以准确地估计一些敏感位置的频谱PSD,导致插值算法在一些细节上估计误差偏高㊂随着机器学习,特别是深度学习的发展,其强大的学习和拟合能力被看作是提高频谱地图构建的有效方法㊂因此,一些学者提出使用一些基于深度学习的图像补全的方法实现电磁频谱地图的构建[16]㊂本文基于上述思路,设计了一种残差自编码器用于频谱地图的构建㊂2㊀频谱地图构建方法2.1㊀基于补全自编码器的频谱地图构建基于深度学习的频谱地图构建的总体思路是通过构建一个函数pω来处理缺失的数据㊂也就是说,将整个观测空间离散为一个网格张量,已知部分监测位置的观测值Ψ~(x i,f),其中x iɪΩ,表示监测传感器的部署位置㊂希望网络输入已知观测值Ψ~(x i,f),输出完整的频谱地图Ψ(x,f)㊂因此网络的训练如下: minimize1TðT t=1 Ψt-pω(Ψ~t) 2F,(2)式中,T代表输入的总观测时长,pω(Ψ~t)为基于位于Ω的观测数据而生成的完整频谱地图数据㊂自编码器网络是一种在图像生成领域广泛应用的无监督网络架构[18]㊂自编码器由一个编码器和一个解码器串联组成㊂其编码器的输出一般被认为是输入图像或数据的潜在特征矢量,其维度通常远低于输入数据维度㊂自编码器的工作原理就是通过训练使得解码器重建的输出能够完美地接近于编码器的输入,基于编码器输出的特征矢量,自编码器可以被应用于数据降维㊁图像降噪以及异常检测等任务㊂补全自编码器同样遵循自编码器的模型架构,不同在于其输入缺失的张量数据,而输出完整的张量[18]㊂在实际操作中,通常使用0值表示缺失部分组成一个完整张量作为模型的输入㊂尽管如此,基于深度学习的模型仍没有考虑Ω㊂也就是说网络无法区分测量值与填充值,因此填充性能较差㊂本文参考了图像修复领域的经验,添加了一个二进制的掩码作为输入的另一个维度㊂该掩码直接使用1和0表征实际观测位置和缺失部分,有利于模型更好地训练㊂2.2㊀残差自编码器模型架构本文在自编码器的基础上添加了残差连接,构建一个残差自编码器,其模型架构如图2所示㊂图2㊀残差自编码器模型框架Fig.2㊀Framework of residual autoencodermodel㊀㊀在图2所示的模型中,使用了10个卷积核大小为3ˑ3的卷积层来构建编码器,和10个与之相对应的反卷积层(转置卷积)构建解码器,也就是说本文使用的模型是一个全卷积的自编码器,其中所有的卷积和反卷积层都使用Leaky ReLU函数作为激活函数㊂相比于基于全连接层的自编码器模型,基于卷积的自编码器模型参数更少,可以大幅降低训练所需的数据量,同时卷积也更适合学习频谱地图的空间信息㊂在实际操作中,使用池化层和插值来分别实现模型中的上采样和下采样㊂最后,在编码器和解码器之间添加了3个残差连接,使编码器的信息可以跨层映射到解码器,从而允许梯度直接流向更浅的层,加快模型的收敛速度㊂模型的输入是一个由残缺的频谱监测数据以及表征了观测数据位置的二进制编码张量所组成的大小为N xˑN yˑ2的输入张量㊂其中N x与N y为输入残缺数据张量的长宽㊂模型的输出为补全的完整频谱地图张量,其大小为N xˑN yˑ1㊂3㊀仿真实验3.1㊀仿真数据集构建在基于深度学习模型或者其他数据驱动的频谱地图构建方法中,一个不可避免的问题是需要大量的数据进行训练㊂然而在实际场景中获取完整的频谱地图数据十分困难且成本过高,所以研究者们通常使用一些基于传播模型生成的仿真数据㊂许多研究成果表明,使用仿真数据构建的模型在真实场景中同样可以起到较好的补全效果㊂本文使用了一个开源的频谱地图数据集㊂该数据集使用Remcom公司的Wireless InSite软件,针对遮掩物较多㊁电波传播环境较为复杂的 城市峡谷 场景生成㊂数据集中应用了弗吉尼亚州罗斯林市中心的三维地图,这是一个边长约700m的正方形区域,然后结合了射线追踪(Ray Tracing,RT)算法㊂具体来说,采用弹跳射线法(Shooting and Bouncing Ray)进行仿真,在仿真参数中,最大反射和衍射次数分别设置为6和2㊂该数据集可以被视为实测数据集的一个有效的替代品㊂该数据集的网格分辨率为3m,每张原始频谱地图的大小为245mˑ245m㊂实验中,通过在原始频谱地图上选取随机位置构建大量32mˑ32m的张量数据,即长宽约为100mˑ100m的频谱地图用于仿真实验㊂图3展示了一个随机抽取的用于实验的样本地图㊂需要注意的是,实验中所有的频谱地图数据均使用对数单位dBmW(简称dBm),取代了自然功率单位,这样可以避免数据分布不均所带来的性能损失㊂在新生成的频谱地图数据中,随机抽取一定比例的观测位置作为已知数据,原始数据集共包含频率为1400MHz的42张完整频谱地图,在实验中,使用前40张地图生成的数据进行模型训练,后两张地图生成的数据用于测试㊂基于上节所介绍的输入数据构建方法,构建了5000个训练样本用于残差自编码器的训练,并使用两个全新没有训练过的地图构建了1000个测试样本用于评估模型的性能㊂图3㊀生成仿真数据集示例Fig.3㊀Generate simulation dataset example3.2㊀仿真结果与分析为了验证本文提出方法的有效性,将本文使用的残差自编码器模型与传统的自编码器模型以及3种常用的插值算法进行比较㊂尽可能调整不同模型的参数使其获得最佳性能㊂所有对比模型的具体参数设置如下:①传统自编码器模型,与本文使用的残差自编码器模型基本一致,包含10个卷积层构建的编码器与10个反卷积层构建的解码器组成,主要区别为不包含残差连接;②克里金算法,使用正则化参数为10-5,高速径向基函数的宽度参数σ被设置为采集测量值的两点之间平均距离的5倍;③核学习算法,包括20个拉普拉斯核,使用正则化参数为10-4;④K最邻接算法,作为最基础的频谱地图构建方法,设置了K=5㊂实验中的深度学习网络均基于TensorFlow框架搭建,并使用Adam优化器进行训练,学习率被设置为10-5,batch size大小为16,所有模型训练100个epoch㊂使用均方根误差(RMSE)作为模型性能的指标:RMSE= Ψ-Ψ^ 2FN x N y,(3)式中,Ψ为频谱地图的真实值,Ψ^为估计值㊂基于测试集中的1000个样本评估模型在不同采样率下的补全误差水平㊂比较了上述所有基线模型和本文使用的参差自编码器在0.01~0.20采样率条件下的性能,结果如图4所示㊂由于本文使用了一个接近真实数据的复杂的实验数据集,所以其预测误差指标对比于一些使用简单仿真数据集的文献会偏高㊂由图4可以看出,本文使用的残差自编码器在0.20的采样率下均方根误差为2.86dB,即使在0.01的低采样率下也可以达到7.91dB㊂相较于其他模型和算法,本文所使用的模型几乎在每种采样率下都取得了最好的性能㊂其次是传统的自编码器模型,在低采样率下与残差自编码器性能相差无几,随着采样率的升高,其性能水平被逐渐拉开差距㊂图4㊀残差自编码器与其他基线模型性能对比Fig.4㊀Performance comparison between residualautoencoder and other baseline models图5展示了在0.1的采样率条件下对于测试样本集中的某一样本的补全结果㊂由图5可以看出,本文提出使用的基于残差自编码器的模型取得了最低的补全RMSE误差㊂同时,提出的残差自编码器可以较高程度地还原真实数据中由于城市场景中复杂的信道传播效应等产生的纹路细节;其次是传统自编码器模型,其在整体上基本还原了真实数据的主要特征,而其他基于传统插值算法的方法则分别出现了不同程度的失真,补全效果较差㊂(a)真实数据㊀㊀㊀㊀(b)残差自编码器结果RMSE=1.450129㊀㊀㊀㊀(c)传统自编码器结果RMSE=3.009530 (d)克里金插值法结果RMSE=4.527919㊀㊀㊀㊀(e)核学学算法结果RMSE=3.461993㊀㊀㊀㊀(f)K最邻接算法结果RMSE=3.914541图5㊀0.1采样率条件下不同模型补全效果对比Fig.5㊀Comparison of completion effects of different models at0.1sampling rate㊀㊀图6展示了残差自编码器与传统自编码器在100个epoch下的训练损失的对比结果㊂由图6可以看出,在两种模型架构和超参数基本一致的条件下,添加了残差连接的补全模型明显优于原始模型,同时收敛速度更快,该结果说明添加残差连接的策略是有效的㊂图6㊀残差自编码器与传统自编码器训练损失对比Fig.6㊀Comparison of training loss between residualautoencoder and traditional autoencoder4 结论针对实际复杂场景下频谱地图生成精度低的问题,本文构建了一个基于残差自编码器的补全模型用于学习无线电信道传播的空间结构,实现频谱地图的高精度构建㊂基于自编码器的深度学习方法可以很好地拟合数据,而添加残差连接的方法又进一步降低了估计误差㊂在一个接近真实场景的仿真数据集上进行对比试验,结果证明本文提出的残差自编码器模型对比其他基线模型具有更好的补全精度㊂然而,基于数据驱动的频谱地图补全方法始终受大量数据获取问题的困扰,在实际场景应用受限㊂未来的工作将围绕通过迁移缓解大量训练数据获取难的问题展开㊂参考文献[1]㊀张思成,林云,涂涯,等.基于轻量级深度神经网络的电磁信号调制识别技术[J].通信学报,2020,41(11):12-21.[2]㊀LIN Y,WANG M,ZHOU X,et al.Dynamic SpectrumInteraction of UAV Flight Formation Communication withPriority:A Deep Reinforcement Learning Approach [J].IEEE Transactions on Cognitive Communications and Net-working,2020,6(3):892-903.[3]㊀丁国如,孙佳琛,王海超,等.复杂电磁环境下频谱智能管控技术探讨[J].航空学报,2021,42(4):200-212.[4]㊀夏海洋,查淞,黄纪军,等.电磁频谱地图构建方法研究综述及展望[J].电波科学学报,2020,35(4):445-456.[5]㊀王圆春,肖东,林云.电磁频谱数据的关联规则挖掘[J /OL].电波科学学报:1-9[2022-11-29].http:ʊ /kcms/detail /41.1185.TN.20220601.1501.003.html.[6]㊀GUO L,WANG M,LIN Y.Electromagnetic EnvironmentPortrait Based on Big Data Mining[J].Wireless Commu-nications and Mobile Computing,2021(3):1-13.[7]㊀李伟,冯岩,熊能,等.基于无线电环境地图的频谱共享网络研究[J].电视技术,2016,40(10):60-66.[8]㊀ALFATTANI S,YONZACOGLU A.Indirect Methods forConstructing Radio Environment Map [C]ʊ2018IEEECanadian Conference on Electrical &Computer Engineer-ing (CCECE).Québec City:IEEE,2018:1-5.[9]㊀UMER M,KULIK L,TANIN E.Spatial Interpolation inWireless Sensor Networks:Localized Algorithms for Vario-gram Modeling and Kriging[J].Geoinformatica,2010,14(1):101-134.[10]AZPURUA M A,DOS RAMOS K.A Comparison of Spa-tial Interpolation Methods for Estimation of Average Elec-tromagnetic Field Magnitude[J].Progress in Electromag-netics Research M,2010,14:135-145.[11]胡炜林,刘辉,彭闯,等.基于Kriging 算法的电磁频谱地图构建技术研究[J].空军工程大学学报(自然科学版),2022,23(3):26-33.[12]李泓余,沈锋,韩路,等.一种模型和数据混合驱动的电磁频谱态势测绘方法[J].数据采集与处理,2022,37(2):321-335.[13]胡田钰,吴启晖,黄洋.基于生成对抗网络的三维频谱态势补全[J ].数据采集与处理,2021,36(6):1104-1116.[14]IMAI T,KITAO K,INOMATA M.Radio Propagation Pre-diction Model Using Convolutional Neural Networks byDeep Learning[C]ʊ201913th European Conference onAntennas and Propagation (EuCAP ).Yokosuka:IEEE,2019:1-5.[15]TEGANYA Y,ROMERO D.Deep Completion Autoencod-ers for Radio Map Estimation[J].IEEE Transactions on Wireless Communications,2021,21(3):1710-1724.[16]SAITO K,JIN Y,KANG C C,et al.Two-step Path LossPrediction by Artificial Neural Network for Wireless Serv-ice Area Planning [J].IEICE Communications Express,2019,8(12):611-616.[17]IIZUKA S,SIMO-SERRA E,ISHIKAWA H.Globally andLocally Consistent Image Completion[J].ACM Transac-tions on Graphics(ToG),2017,36(4):1-14.[18]LU K,BARNES N,ANWAR S,et al.Depth CompletionAuto-encoder[C]ʊ2022IEEE /CVF Winter Conference onApplications of Computer Vision Workshops (WACVW).Waikoloa:IEEE,2022:63-73.作者简介:㊀㊀张㊀晗㊀哈尔滨工程大学研究生㊂主要研究方向:电磁环境数据挖掘与可视化分析㊂㊀㊀韩㊀宇㊀博士,哈尔滨工程大学讲师㊂主要研究方向:复杂电磁环境认知㊁物联网海量信息接入㊂发表学术论文及专利10余篇,其中SCI 检索3篇,美国专利1篇;参与编写教材1部㊂作为项目主要负责人,承担国家自然科学基金项目1项㊂㊀㊀姜㊀航㊀博士,哈尔滨工程大学讲师㊂主要研究方向:毫米波通信㊁频谱认知㊁电磁目标识别㊂㊀㊀付江志㊀博士,哈尔滨工程大学讲师㊂主要研究方向:宽带数字通信㊁信号设计与处理㊁通信抗干扰㊂发表学术论文6篇,其中EI 检索4篇㊂作为主要成员,参与完成国家自然科学基金面上项目1项㊂㊀㊀(∗通信作者)林㊀云㊀哈尔滨工程大学教授,博士生导师,先进船舶通信与信息技术工业与信息化部重点实验室副主任㊂主要研究方向:智能无线电技术㊁人工智能和机器学习㊁大数据分析与挖掘㊁软件和认知无线电㊁信息安全与对抗㊁智能信息处理等㊂参与研发了具有自主知识产权的软件无线电通用开发平台,发表SCI 检索50余篇,ESI 高被引论文8篇,授权专利11项,荣获国防科技进步一等奖1项,中国电子学会科技进步一等奖1项,国防科技进步三等奖2项,黑龙江省科技进步三等奖1项㊂。

色谱名词英文

色谱名词英文

色谱字典(术语大全)中文英文色谱图chromatogram色谱峰chromatographic peak峰底peak base峰高h,peak height峰宽W,peak width半高峰宽Wh/2,peak width at half height峰面积A,peak area拖尾峰tailing area前伸峰leading area假峰ghost peak畸峰distorted peak反峰negative peak拐点inflection point原点origin斑点spot区带zone复班multiple spot区带脱尾zone tailing基线base line基线漂移baseline drift基线噪声N,baseline noise统计矩moment一阶原点矩γ1,first origin moment二阶中心矩μ2,second central moment三阶中心矩μ3,third central moment液相色谱法liquid chromatography,LC液液色谱法liquid liquid chromatography,LLC液固色谱法liquid solid chromatography,LSC正相液相色谱法normal phase liquid chromatography反相液相色谱法reversed phase liquid chromatography,RPLC柱液相色谱法liquid column chromatography高效液相色谱法high performance liquid chromatography,HPLC尺寸排除色谱法size exclusion chromatography,SEC凝胶过滤色谱法gel filtration chromatography凝胶渗透色谱法gel permeation chromatography,GPC亲和色谱法affinity chromatography离子交换色谱法ion exchange chromatography,IEC离子色谱法ion chromatography离子抑制色谱法ion suppression chromatography 离子对色谱法ion pair chromatography疏水作用色谱法hydrophobic interaction chromatography制备液相色谱法preparative liquid chromatography 平面色谱法planar chromatography纸色谱法paper chromatography薄层色谱法thin layer chromatography,TLC高效薄层色谱法high performance thin layer chromatography,HPTLC浸渍薄层色谱法impregnated thin layer chromatography凝胶薄层色谱法gel thin layer chromatography离子交换薄层色谱法ion exchange thin layer chromatography制备薄层色谱法preparative thin layer chromatography薄层棒色谱法thin layer rod chromatography液相色谱仪liquid chromatograph制备液相色谱仪preparative liquid chromatograph 凝胶渗透色谱仪gel permeation chromatograph涂布器spreader点样器sample applicator色谱柱chromatographic column棒状色谱柱monolith column monolith column微粒柱microparticle column填充毛细管柱packed capillary column空心柱open tubular column微径柱microbore column混合柱mixed column组合柱coupled column预柱precolumn保护柱guard column预饱和柱presaturation column浓缩柱concentrating column抑制柱suppression column薄层板thin layer plate浓缩区薄层板concentrating thin layer plate荧光薄层板fluorescence thin layer plate反相薄层板reversed phase thin layer plate梯度薄层板gradient thin layer plate烧结板sintered plate展开室development chamber以上为美瑞泰克公司中国办事处从网上搜集并加以整理的,目的只有一个,就是能让每一个应用色谱分析的朋友能够更方便。

作物需氮的遥感测量及变量施肥技术_英文_

作物需氮的遥感测量及变量施肥技术_英文_

第18卷第5期2002年9月农业工程学报T r ansactions of the CSA E V ol.18 N o.5Sept. 2002Remote Sensing of Crop Nitrogen Needs and Variable -Rate Nitrogen Application TechnologyH an Shufeng 1,He Yong2(1.Dep ar tment of A g ricultural Eng ineer ing ,Univ er sity of I llinois at Ur bana -Champ aig n ,Ur bana ,I llinois 61801,U SA ;2.College of A gr icultur al Engineer ing and Food Science ,Zhej iang U niv er sity ,H angz hou 310029,China )Abstract :Instead of develo ping nitr og en prescript ions prior to the g ro w ing seaso n ,an in -season site -specific nitr og enmanagement system w as pr oposed which only a fraction of the nor mal nitro gen r ates was applied nea r emer gence,and addit ional nitr og en w as applied only if and w here the cro p co uld utilize it.T his paper o utlines our effor ts to develop tw o essential t echno lo gies fo r the pr oposed system:nitr og en sensing techno lo gy and v ar iable rate applicatio n techno lo gy.Our senso r dev elo pment w or k focused on o ptical r emot e sensing techno lo gy using multi-spectr al im aging sensor s.Str ongcor relatio ns betw een mult i-spect ral imag es and chlo ro phy ll meter r eading s wer e found,w hich indicated the g reat po tentialin using the imaging sensor s t o char acter ize cor n nitro gen st atus (st ress)on a w hole field basis.I n additio n,a v ariable rate spr ayer ,co nsisted of P WM so leno ids ,a pr essur e contr oller ,a nozzle co ntro l system int erfaced to a co mputer ,and map -based application softw ar e,w as also developed.T he v ariable r ate spray er w as able to pr ovide independent r ate contr ol of 25individual nozzles acro ss a n 18m spr ayer boo m .R esults fr om sev eral field studies co nduct ed in Iow a and Illino is w ere also presented.In 1998,the cor n yield incr eased by an aver age of 1440kg/hm 2in four study fields in bo th I llinois and Io wa .In 1999,the av erag e cor n y ield incr eased by 440kg /hm 2in six study fields in Io wa .Key words :pr ecisio n ag r icultur e;nitr og en;r emot e sensing ;imag ing sensor ;v ar iable r ate applicat ionCLC number :V 557.3;S 143.1;S 513 Document code :A Article ID :1002-6819(2002)05-0028-06Received date:2002-01-10 Revised date:2002-05-25Biograp hy:Han S hufen g,Ph.D.,Deere &Company,4140114th St.,Urbandale,IA 50322,USA. Email:Han Sh ufeng @Joh ;Phone :1-515-331-4675;Fax :1-515-331-46411 Introduction Nitrog en is o ne o f the most important nutr ients tothe productio n o f all crops .Since available soil nitro gen supplies are inadequate fo r o ptimum cro p pr oduction,modern production agriculture is heavily dependent on fertilizer nitrog en input.Excessiv e fertilizer nitro gen application,how ever,not only increases cro p productio n cost but also has the adverse effects on environmental quality.The primary co ncer n abo ut the impact of nitr ogen on the environment isleaching of nitrate (NO -3)into gro und w ater and itspo ssible health effects[1,2]. Current nitro gen m anag em ent fo r corn pro duction is characterized by application o f a unifo rm rate across the field in the fall ,early spring ,or in some cases as a sidedressing (injecting liquid fertilizer betw een cro p row s after em erg ence).T he nitrogen application rate is generally based upon yield potential adjusted for nitro gen contr ibutio ns fro m manure or leg um es .While this system w o rks w ell on many fields ,there are years and fields w here site-specific applicatio n during the gr ow ing season has the po tential to dr amatically improve the efficiency of nitro gen use and reduce thepotential for enviro nm ental contam ination.T hese situatio ns include y ears w hen the spr ing is excessively w et and nitr ogen applied dur ing the previous fall or early spring is prone to losses via denitrificatio n and /or leaching.Developm ent of a sy stem that can identify w hen and w her e additional nitrog en ar e needed,and then applying nitro gen o nly to these identified areas w ill be bo th economically and environmentally adv antageous . Tw o engineering technolo gies are essential for such an in-seaso n site-specific nitrog en m anagement system:sensing technolog y and variable rate application technolog y .Nitro gen sensing is to identify areas in a field that show s the im minent nitro gen needs.By using a decisio n support sy stem,the output of the sensor s is then translated into a site-specific nitr ogen prescriptio n,w hich is usually in the for m of a map called prescr iption m ap .Finally ,variable rate application equipment is required to deliver the prescr ibed applicatio n rates. One comm on appr oach to assess crop nitr ogen needs during the g row ing season is to identify crop cano pynitr ogen str ess[3~5].Since cano py nitrogen stress is closely related to leaf chlorophyll co ntent,and leaf chlo rophy ll content can be effectiv ely char acter ized by the leaf spectrum ,optical sensing techno logy using spectral tr ansmittance /reflectance measurem ent has g reat potential for the crop nitrog en assessment . An example of the spectr al transmittance28measurement device is SPAD-502develo ped by M inolta Co.Ltd.This hand-held chloro phyll meter is based on the difference in attenuation of transm itted light betw een a leaf sample at peak w aveleng ths of650 nm and940nm.SPAD-502has been used to m easur e leaf chlo rophy ll content and subsequently to assess cr op nitr ogen status in the field[6,7].M any field studies hav e show n a significant corr elation betw een SPAD reading s and leaf nitrog en concentration in co rn[8~10]. When used w ith a fully fertilized r eference strip to derive relative SPAD readings,SPA D-502has been used effectively as a m anag em ent tool to tr ig ger supplemental nitro gen applications[11~13].The major limitation o f the chloro phyll meter in determining cro p nitro gen status is that r eadings are g enerally taken at a limited number of locations in the field,and the results often provide little information co ncerning the nitro gen status across the entire field.As such,the chlor ophyll m eter,by itself,is no t a practical tool to characterize crop nitrog en status on a w hole field basis. An alternative m ethod in assessing cr op nitrog en status is by m easuring the spectral reflectance of plant leaves o r the plant canopy.Since light reflectance can be mo nitored w itho ut attaching a meter or probe to a specific leaf,it can substantially increase the num ber of plants being monitored and therefore is a mor e efficient w ay to assess cro p nitrogen status o n a whole field basis.M ulti-spectral imaging senso rs,which typically m easure the reflectance of green,red,and near-infrared portions o f the spectra,can be used to detect cro p str ess caused by nutrient deficiency. Althoug h the individual bands are often closely related to observed nitro gen stress,the spectral bands ar e often transform ed into various indices that may pr ovide a mo re r obust char acterization of the stress.A num ber of different indices have been developed in recent years to assess crop nitrog en status.A normalized difference v eg etation index(NDVI),is w idely used to estimate veg etation variables such as leaf area index and canopy co ver,but is o ften insensitive to all but very low chlor ophyll co ntents[14]. Instead,a g reen NDVI can be calculated,w hich uses gr een reflectance(near550nm)instead of red reflectance(near670nm),and is sensitive to a full range of chloro phyll co ntents and therefo re provides a mor e precise estimatio n of pig ment co ntent[14].In addition to these NDVIs,another type of index uses the ratio,instead o f the differ ence,of the reflectance at tw o different w av elengths.For exam ple,Bausch and Duke[15]developed a nitr ogen reflectance index based on the ratio of the near-infrared to green cano py reflectance to assess corn nitrog en status during the g row ing season.T heir nitrog en index pr oduced a near 1∶1relationship w ith the nitrogen sufficiency index derived fro m SPAD r eadings fo r co rn g row th stages from V-11(vegetativ e g row th stage11,w hen the 11th leaf developed)to R-4(repro ductive g row th stag e4,or dough stage). Sev eral small plot studies in Illinois have show n that non-ir rigated corn can effectiv ely utilize surface-applied nitrog en during the g row ing season[16,17].T he studies also demonstrated that multi-spectr al aer ial imag es could prov ide nitrog en stress characterization sim ilar to that by the SPAD-502chlor ophyll meter. Based on these principles and procedur es,a larg e research pro ject w as initiated in1997to develop and test the in-season site-specific nitrogen m anagement system.T he pr oject involved three states in the Co rn Belt(Iow a,Illino is,Wisconsin),and tests w ere conducted in lar ge pro duction fields.T his paper outlines our effor ts to develop bo th the nitro gen sensing techniques and the variable rate nitro gen application equipment.Results from several field studies co nducted in Iow a and Illinois w ill be presented.2 Optical Remote Sensing Technology Remote sensing technolog y is ex periencing a resurg-ence of popularity,prominence,and po ssibilities in the ag ricultural arena from the adv ancement of spatial,spectral and tem por al resolutions[18].Optical senso rs provide info rmation in the reflective and therm al emission portions of the electrom agnetic spectrum.One particular type o f optical senso rs, multi-spectral imag ing sensor s that typically measure the reflectance o f green,red,and near-infrared portions o f the spectra,is ex tensively used for agr icultural rem ote sensing.Our nitrog en sensing techniques are primarily based on the multi-spectral imag ing sensor s. Multi-spectral imag ing senso rs can be operated on three different platfor ms:satellite,aircraft,and g round-based vehicles.Satellite r em ote sensing has an adv antage which can cover a large number of fields in a single im age frame,but it gener ally offers m uch low er spatial resolution,w hich may reduce its utility in being able to characterize crop stresses that may be quite spatially v ariable.Although new er satellite imag ery hav e the capability to o ffer significantly higher spatial reso lution,the cost and availability of these imag er y limit their use in ag ricultur e.Imag e29 Han Shufeng et al:Remo te Sensing o f Cr op N itr og en N eeds&V ar iable N A pplicationso urces such as SPOT ,w ith 20m spatial resolution ,appear to offer greater potential for agriculture fo r the fo reseeable future .On the other hand ,airbo rne remote sensing can easily achieve 1m spatial resolution .With current CCD dig ital imaging cam eras ,a single imag e frame is able to capture the scene of a larg e com mercial field over 65hm 2in size w ith 1m spatial (g round )resolution.Further improvement in spatial resolutio n w ill r equire the sensor s to be operated o n a ground-based v ehicle.Unlike satellite and airborne remote sensing ,the gr ound-based remo te sensing can effectively remov ethe unw anted soil backgr ound (from the imag ery )and are not adversely affected by clo udy conditions.Imagery from all thr ee rem ote sensing platform s w er e used in our nitro gen sensing study. SPAD-502w as utilized as a reference or standard in our studies,and o ur efforts w ere to develop various (v eg etation)indices that best correlate m ulti-spectral imagery w ith SPAD readings.Som e of the results ar e pr esented in the subsequent sectio ns. A SPOT satellite imag e w as acquir ed from a 32.4hm 2cor n field on July 6,1999w hen the corn w as at the V -14grow th stag e (vegetative gro wth stage 14,shor tly befor e tasseling ).The three spectral band w idths o f the SPOT imaging sensor w er e 500~590nm (g reen ),610~680nm (red),and 790~890nm (near-infrared ),r espectively ,and the spatial resolution of the image w as 20m.Near the tim e o f the image acquisition,SPAD reading s w ere taken in the field at seven selected locations.Abo ut 15individual SPAD reading s w ere taken w ithin a 10m radius of a sam pling lo cation,and an average SPAD value w as calculated to represent each sampling lo cation. An NDVI value w as also extracted from the NDVI map at each SPA D sampling locatio n.After rem oval of one erro neous point,the NDVI from SPOT satellite image w as strongly corr elated w ith the SPAD reading (Fig.1).The cor relation betw een the green NDVI and SPAD reading was about the same (Fig.1).F ig.1 R elat ionship between SP AD meter r eadingsand SPO T im age v egetat ion indices Sim ilar field ex perim ents w ere conducted to find the correlatio n betw een aerial imag ery and SPAD readings .An aerial image w as acquired o n July 13,2000w hen the co rn was at the V -14g row th stag e .An ADAR (Airborne Data A cquisition and Registration )imag ing sensor w as used to collect data in 4spectral bands (450~515nm in blue,525~605nm in green,630~690nm in red,and 750~860nm in near -infrared,respectively ).T he spatial resolutio n of the ADAR image was 1m.SPAD readings w ere taken in the field at 14selected locations near the time of the imag e acquisition.A gain,bo th the NDVI and the g reen NDVI from the airbor ne imag e were str ongly correlated w ith the SPAD reading s (Fig.2).F ig.2 Relatio nship betw een SP A D meter readingsand AD AR imag e veg etation indices M ore detailed results w as found by Han et al [19].Despite the limited sensitiv ity of the SPOT imag es in the g reen and red bands,the co rrelation betw een the SPOT im ages and SPAD reading s w as similar to that betw een the aerial images and SPAD readings .This sug gested that the SPOT imag es may have potential as a tool to detect areas of nitrogen stress within fields .How ever,further inv estig atio n is needed to determine if this conclusion can be ex tended to other fields. Based on the correlatio n betw een multi-spectralimag ery and SPAD readings,SPAD maps can be derived fr om the remo te sensing imag er y plus a lim ited num ber of SPAD sam ples used as gro und -truthing .Som e existing decision support systems [6]can then be used to translated the SPAD m aps into nitro gen prescr iption maps .3 Variable Rate Application Technology The next engineering challeng e in dev elo ping an in -season site-specific nitrog en management system is to deliver the nitro gen prescription,i.e.,to make site-specific nitrog en applications based o n prescr iption maps .Since m ost of the applications need to be made during the (corn )gr ow ing season ,using liquid nitr ogen fertilizer (e .g .,28%urea -amm onium nitr ate)and surface-application by a sprayer seems to30V o l.18,N o.5T r ansactions of the CSA E Sept.2002 be the m ost practical application m ethod . T here ar e two major requirem ents fo r the variable rate sprayer .T he first is hig h clearance of the sprayer to perform middle and late season nitrog en applications without phy sically injuring the cr op .T he seco nd is hig h spatial applicatio n accuracy for m ap -based nitrogen treatm ents.The nitro gen pr escriptio n map based on aerial images has a spatial r esolution as hig h as one meter.Our goal is to achieve a spatial application accur acy w ithin 2m. The classic technique fo r controlling the nozzle discharge rate is to regulate the pressure dro p across the nozzle.How ever,this ty pe of pressure-based flow co ntrol system has three undesirable effects,i.e.,slo w system response,lim ited flow control range,andpo or nozzle per for mance [20].To so lve these problem s,a new technique,called pulse-w idth mo dulatio n (PWM )flow contr ol,has been dev elo ped fo r flow rate contro l w ith conventional agricultural spray nozzles [21,22].Nozzle discharg e is m odulated by intermittent oper ation of an electrically -actuated so lenoid valv e coupled to the inlet of the spray no zzle.Variation in flow rate thro ug h the no zzle is achieved by contr olling the PWM duty cycle,i.e.,the relativ e pr opo rtio n o f time during w hich the solenoid valve is open.T he PWM flow contr ol appro ach has also show n pr omise for o ver com ing nozzle perform ance pr oblem s.A flow control range as high as 10∶1can be achieved under constant supply pr essure with very modest chang es in the median diameter of the spraydr oplets and spray pattern [20,23].In addition,the flow rate response time o f the electrically -actuated solenoid valve is consider ably shorter than the co nventio nal pr essure-based flow control system.All those features make PWM flow control the ideal sy stem for site-specific spray ing applications. A variable rate spr ay er w as developed fo r in-seaso n site-specific nitrog en applications (Fig.3).Features o f the sprayer include 1.8m high clearance w hich makes it po ssible to apply nitr ogen to corn during the m iddle-seaso n ,25individually co ntrolled no zzles that are able to continuously vary the application rates ,and m ap -based applicatio n softw are that is co mpatible w ith remote -sensing -based nitrog en prescriptions and capable of providing hig hly accurate application rate co ntrol .Tw o application co ntro ller s w ere used in the sy stem ,o ne for the co ntrol of system pressur e (pressure co ntroller )and the o ther for the control o f discharge of each indiv idual nozzle (nozzle contro ller ).The pressure contr oller maintains a constant pressur fo r the system during the operation ,and the nozzlecontro ller is essentially a PWM driver that pr ovides square -w ave signals to the solenoid v alv es .T he nozzle contro ller has 25PWM channels ,and each PWM channel has 16-bit resolution to provide a duty -cyclefrom 0to 100%w ith 1%increment .T he system has been successfully used for application of nitro gen to corn thr oug hout the gro w ing season based on hig h-reso lution prescr iption maps der iv ed from aer ialimag es [24].F ig .3 T he spr ayer w ith v ariable r ate for in -seasonsite-specific nit ro gen applications4 Field Experiment Results Field studies have been conducted at production fields in both Illino is and Iow a since 1997to ev aluate the in-season site-specific nitrog en m anagement system.Field evaluation has sho wed so me promising results in term s of both incr eased yield and reduced nitr ogen input.T able 1show s part of the results in 1998and 1999.In 1998,the corn yield increased by an average of 1440kg/hm 2in 4study fields in both Illinois and Iow a.In 1999,the aver ag e yield increasedby 440kg/hm 2in 6study fields in Iow a.In general,in-season site-specific nitrog en application can achieve comparable or better y ield as w ith unifor m nitro gen application but often results in the reduced nitro gen input [4].Table 1 Corn yield increases by in -season nitrogenapplications in 1998and 1999YearField Reference yield /kg ・hm -2Yield increas e /kg ・hm -2Additional nitrogen r ate /k g ・hm -21998Andrew s 59102640112T D02924094090S N01980063090JO0110600157090Average 88901440951999W es sling 1043025069An dKip892069067And Grav 7350100087S am 11100025085S am 2103006047S am 3113703105931 Han Shufeng et al:Remo te Sensing o f Cr op N itr og en N eeds &V ar iable N A pplication5 Conclusions This paper outlines our effo rts to develop tw o essential techno logies for the pr opo sed sy stem: nitro gen sensing technolog y and variable rate application techno logy.Our sensor dev elo pment w ork fo cused o n optical remote sensing technolog y using multi-spectr al im ag ing sensors.Stro ng corr elations betw een multi-spectral images and chlor ophy ll meter reading s w ere found,w hich indicated the g reat po tential in using the imaging sensors to char acterize co rn nitrog en status(str ess)o n a w hole field basis.In addition,a sprayer w ith v ariable r ate,consisted o f PWM solenoids,a pressure controller,a nozzle co ntrol system interfaced to a computer,and m ap-based application software,w as also developed.T he sprayer w ith variable r ate w as able to provide independent rate control of25individual nozzles across an18m spray er boo m.Results fr om sev er al field studies co nducted in Io wa and Illinois w ere also pr esented.In1998,the corn y ield increased by an average of1440kg/hm2in4study fields in bo th Illino is and Iow a.W hile in1999,the av er ag e yield increased by440kg/hm2in6study fields in Iow a.[Ref erences][1] A ldr ich S R.N itr og en mana gement to minim ize adv erseeffects on the enviro nment[M].In Hauck R D(ed.).N it ro gen in Cr op Pr oduction.A SA,M adiso n,WI.1984.[2] CA ST.A g riculture and gr o undwat er quality[Z].Co uncilfo r A g ricultura l Science and T echno lo gy Repor t103,1985,62p.[3] D iker K,Bausch W C.M apping in-season soil nitro genv ariability a ssessed thr oug h r emot e sensing[A].Rober t P C,et al.In Pr oc4th Inter nat ional Co nfer ence on Pr ecisionA g riculture[C].A SA M isc Publ,ASA,CSSA,andSSSA,M adiso n,W I.1998.1445~1456.[4] Hendr ickson L L,Han S.A reactiv e nitro genmanag ement system[A].I n P ro c5th Inter natio na l Co nfer ence on P recisio n A g riculture[C].R obert P C,et al.A SA M isc Publ,A SA,CSSA,and SSSA,M adiso n,W I.2000.[5] V ar vel G E,Scheper s J S,F rancis D D.A bility for in-season cor rection of nitr og en deficiency in co rn using chlor ophyll met ers[J].So il Science So ciety o f A merican Jour nal1997,61:1233~1239.[6] F ra ncis D D,P iekielek W P.A ssessing cro p nitro genneeds with chlo ro phy ll meter s[Z].T he Po tash and P hosphat e Inst itute Sit e-Specific M anag ement Guide#SSM G-12.1999.4pp.[7] P eter so n T A,Blackmer T M,Fr ancis D D,et al.U singa chlor ophyll meter t o impro ve N manag ement[M].T heU niver sity of N ebraska N ebGuide Publicatio n,G93-1171-A.1997,6p.[8] Bullo ck D G,A nder son D S.Ev aluat ion o f the M ino ltaSPA D-502chlor ophyll meter fo r nitr og en manag ement in co rn[J].Jour na l o f Plant N ut rit ion1998,21:741~755. [9] Chapman S C,Barr eto H J.U sing a chlor ophyll meter toest imate specific leaf nitro gen of t ro pical ma ize dur ingveg etativ e g r ow th[J].Ag r onomy Jour nal1997,89:557~562.[10] Scheper s J S,Fr ancis D D,V ig il M,et al.Co mpar iso nof co rn leaf nitr og en co ncentr atio n and chlor ophyll meterr eading s[J].Co mmunica tio ns in Soil Science and P lantA naly sis1992,23:2173~2187.[11] Blackmer T M,Scheper s J S.U se o f a chlo ro phy ll meterto mo nitor nit ro gen sta tus and schedule fer tigation fo rcor n[J].Jo urnal o f Pr oduction A gr icultur e,1995,8:56~60.[12] Shapiro C A.U sing a chlo r ophyll meter t o managenitr og en applicat ions t o co rn with hig h nitrat e irr ig atio nw ater[J].Co mmunicatio ns in So il Science and P lantA naly sis,1999,30:1037~1049.[13] W asko m R M,W estfall D G,Spellman D E,et al.M o nitor ing nit ro gen stat us of co rn with a por tablechlo ro phy ll meter[J].Communicatio ns in Soil Scienceand P la nt Analysis,1996,27:545~560.[14] G itelso n A A,Kaufman Y J,M er zly ak M N.R emotesensing o f pig ment content in higher plants:principlesand techniques[A].In Pr oc3r d Inter natio nal A ir bor neRemo te Sensing Confer ence and Exhibitio n[C],July7~10,1997,Copenhag en,Denmar k.P ublished by ERIMInter natio nal,I nc,M I1997:657~664.[15] Bausch W C,Duke H R.Remo te sensing of plantnitr og en status in cor n[J].T r ansact ions o f the A SAE1996,39:1869~1875.[16] Hoeft R G,N afzig er E D,Go nzini L C,et a l.Effect oftime of N applicatio n fo r co r n[A].Pr oc29th N or th-Central Ext ensio n-Industr y Soil Fer tilit y Conf[C],No v17~18,St Lo uis,M O,1999:119~124.[17] Hendr ickso n L L.A r eactiv e mana gement system[Z].I nA gr ono my abstr act s.A SA,M adison,WI,1999.[18] Johannsen C J,Car ter P G,W illis P R,et al.Apply ingr emote sensing technolog y to pr ecisio n far ming[A].I nPr o c4th International Conference on Pr ecisio nA gr icult ur e[C].Ro bert P C,et a l.A SA M isc P ubl,A SA,CSSA,and SSSA,M adison,W I,1998:1413~1422.[19] Han S,Hendrickso n L,N i B.Co mpar iso n of sat elliter emote sensing and aer ial pho tog raphy fo r ability todetect in-season nitro gen str ess in co rn[Z].ASA E PaperN o.011142.ASA E A nnual M eet ing(2001).Sacram ent o,Califo rnia,July29-A ug ust1,2001. [20] G iles D K,Hender son G W,Funk K.D igital contr ol offlow rat e and spray dr oplet size fro m agr icult ur al no zzlesfor precision chemical applicat ion[A].I n R obert P C,etal.(ed.)P ro c3rd Inter natio na l Co nference o n Pr ecisio nA gr icult ur e[C].A SA M isc.Publ.,A SA,CSSA,andSSSA,M adiso n,WI,1996:729~738.[21] G iles D K,Comino J A.V ariable flow co ntro l fo rpressure ato mizatio n nozzles[J].J of Co mmer cial32V o l.18,N o.5T r ansactions of the CSA E Sept.2002 V ehicles,SA E T r ans,1989,98(2):237~249.[22] Giles D K,Comino J A.Dr oplet size and spr ay pat ternchar acter istics of an electr onic flow contr oller for spr aynozzles[J].J of A gr ic Eng R es,1990,47:249~267. [23] Giles D K.I ndependent co ntro l of liquid flow ra te andspr ay dro plet size fr om hydraulic ato mizers[J].A utomat ion Spray s,1997,7(2):161~181.[24] Han S,Hendr ickson L L,N i B.A va ria ble rateapplication sy stem for spr ayer s[A].In Rober t P C,etal.P ro c5t h Inter nat ional Confer ence o n Pr ecisio nA gr icult ur e[C].A SA M isc Publ,A SA,CSSA,andSSSA,M adiso n,WI,2000.作物需氮的遥感测量及变量施肥技术韩树丰1,何 勇2(1.美国伊利诺大学香槟校区农业工程系,伊利诺61801,美国; 2.浙江大学农业工程与食品科学学院,杭州310029)摘 要:为了替代在作物播种前就决定施氮量的传统技术,提出了一种基于作物生长过程中根据作物及土壤状况来决定施肥量的氮肥管理系统。

高光谱英文缩写

高光谱英文缩写

高光谱英文缩写Hyperspectral imaging, often referred to as HSI, is a powerful and versatile technology that has revolutionized the way we perceive and analyze the world around us. This advanced imaging technique goes beyond the capabilities of traditional digital cameras by capturing a vast array of spectral information from the electromagnetic spectrum, providing a wealth of data that can be used in a wide range of applications.At its core, hyperspectral imaging involves the acquisition of high-dimensional data cubes, where each pixel in the image contains a detailed spectral signature. This signature represents the unique reflectance or emission characteristics of the target material, allowing for the identification and classification of a wide variety of substances and materials. Unlike conventional RGB (red, green, blue) imaging, which captures only three color channels, hyperspectral sensors can record hundreds or even thousands of narrow spectral bands, creating a rich and detailed spectral profile.The power of hyperspectral imaging lies in its ability to revealinformation that is invisible to the human eye or traditional imaging techniques. By capturing the subtle nuances of the electromagnetic spectrum, HSI can detect and analyze a diverse range of materials, from minerals and vegetation to man-made objects and even chemical compounds. This capability has made it an indispensable tool in a variety of fields, including remote sensing, environmental monitoring, agriculture, and even medical diagnostics.In the realm of remote sensing, hyperspectral imaging has revolutionized the way we study and manage our natural resources. By analyzing the spectral signatures of different materials, researchers can map and monitor the distribution of minerals, identify areas of vegetation stress, and detect the presence of pollutants or contaminants in the environment. This information is invaluable for a wide range of applications, from mineral exploration and forestry management to environmental impact assessments and disaster response.In the agricultural sector, hyperspectral imaging has become a crucial tool for precision farming and crop monitoring. By analyzing the spectral signatures of plants, farmers can detect early signs of disease, nutrient deficiencies, or water stress, allowing them to take targeted action to improve crop yields and reduce the environmental impact of their operations. Additionally, HSI can be used to map soil composition, monitor crop growth, and even detect the presence ofpests or weeds, enabling more efficient and sustainable farming practices.The medical field has also benefited greatly from the advances in hyperspectral imaging technology. In the area of diagnostics, HSI has shown promise in the early detection of various diseases, such as skin cancer, breast cancer, and cardiovascular conditions. By analyzing the unique spectral signatures of diseased tissues, healthcare professionals can identify subtle changes that may not be visible to the naked eye, enabling earlier intervention and improved patient outcomes.Beyond these applications, hyperspectral imaging has found its way into numerous other industries, including art conservation, forensics, and even aerospace engineering. In the field of art conservation, HSI can be used to identify pigments, detect forgeries, and monitor the condition of valuable artworks, while in forensics, it has been employed to analyze trace evidence and identify illicit substances.As the technology continues to evolve, the potential applications of hyperspectral imaging are virtually limitless. With advancements in sensor technology, data processing, and analytical algorithms, the future of HSI looks increasingly bright, promising new discoveries and innovations that will shape our understanding of the world around us.However, the widespread adoption of hyperspectral imaging technology is not without its challenges. The sheer volume of data generated by HSI systems, coupled with the complexity of the spectral analysis, can pose significant computational and storage challenges. Additionally, the cost of the specialized equipment and the expertise required to interpret the data can be barriers to entry for some organizations and individuals.Despite these challenges, the benefits of hyperspectral imaging are clear, and the technology continues to gain traction across a wide range of industries and disciplines. As researchers and engineers work to overcome the technical hurdles, the future of HSI looks increasingly promising, with the potential to unlock new insights and discoveries that will shape our understanding of the world around us.In conclusion, hyperspectral imaging is a transformative technology that has the power to revolutionize the way we perceive and interact with our environment. By capturing the rich spectral information that lies beyond the visible spectrum, HSI has opened up new frontiers of scientific exploration and practical applications, from remote sensing and precision agriculture to medical diagnostics and forensic analysis. As the technology continues to evolve and become more accessible, the potential of hyperspectral imaging to drive innovation and improve our understanding of the world around us is truly limitless.。

原子吸收光谱的英文

原子吸收光谱的英文

原子吸收光谱的英文原子吸收光谱的英文是"atomic absorption spectroscopy"。

这是一种分析技术,用于测量和确定样品中各种金属元素的浓度。

这种技术基于原子的能级跃迁,当样品中的金属离子吸收特定波长的光时,其能级会从低能级跃迁至高能级,从而生成吸收光谱。

以下是23句中英双语例句:1. Atomic absorption spectroscopy is commonly used in analytical chemistry to determine the concentration of metal ions in samples.原子吸收光谱常用于分析化学中,用于测定样品中金属离子的浓度。

2. The atomic absorption spectrum of each metal elementis unique and can be used for identification purposes.每种金属元素的原子吸收光谱是独特的,可用于鉴定目的。

3. Atomic absorption spectroscopy is a sensitive method for detecting trace amounts of metals in environmental samples.原子吸收光谱是一种敏感的方法,可用于检测环境样品中微量金属。

4. The technique of atomic absorption spectroscopy involves the use of a specific light source, such as ahollow-cathode lamp.原子吸收光谱技术涉及使用特定的光源,例如中空阴极灯。

5. Atomic absorption spectroscopy can be used in various industries, including pharmaceutical, environmental, and food industries.原子吸收光谱可应用于各个行业,包括制药、环境和食品行业。

高光谱遥感器实验室定标

高光谱遥感器实验室定标

高光谱遥感器实验室定标英文回答:Hyperspectral remote sensing, also known as imaging spectroscopy, acquires data within hundreds or even thousands of contiguous spectral bands. This vast amount of spectral information provides a unique opportunity to identify and characterize materials on the Earth's surface. However, in order to use hyperspectral data forquantitative analysis, it is essential to perform accurate laboratory calibration.Laboratory calibration involves a series of steps to ensure that the hyperspectral data accurately represents the spectral properties of the measured materials. These steps typically include:1. Instrument characterization: This involves measuring the spectral response of the hyperspectral sensor using a known reference target, such as a white reference panel.The resulting data can be used to correct for any spectral artifacts or non-linearities in the sensor's response.2. Target preparation: The materials to be measured are prepared for measurement by ensuring that they are flat, uniform, and free of contaminants. This may involve cutting or grinding the samples to a specific size and shape.3. Data acquisition: The prepared samples are placed in the hyperspectral sensor and measured under controlled lighting conditions. The resulting data is typically stored in a spectral image format, with each pixel representing the spectral reflectance or emittance of a specificlocation on the sample.4. Data processing: The acquired data is processed to remove noise, correct for atmospheric effects, and convert the spectral values to a desired format. This may involve applying spectral filters, atmospheric correction algorithms, and radiometric calibration procedures.5. Spectral library generation: The processed data isused to create a spectral library, which is a collection of reference spectra for the measured materials. The spectral library can be used for material identification and classification in subsequent hyperspectral image analysis tasks.Laboratory calibration is a critical step in ensuring the accuracy and reliability of hyperspectral data for quantitative analysis. By following these steps, researchers can ensure that their hyperspectral data provides reliable and repeatable information about the materials under study.中文回答:高光谱遥感器实验室定标。

The infrared spectrum of the Be star gamma Cassiopeiae

The infrared spectrum of the Be star gamma Cassiopeiae

a r X i v :a s t r o -p h /9911470v 1 25 N o v 1999A&A manuscript no.(will be inserted by hand later)ASTRONOMYANDASTROPHY SICS2S.Hony et al.:The infrared spectrum of the Be starγCassiopeiae In this study we present a preliminary analysis of theISO-SWS spectrum of one of the brightest and best stud-ied Be stars in the sky,γCas(B0.5IVe).We will showthat the H i emission line spectrum ofγCas is not wellrepresented by Menzel case B recombination line theory.Many linefluxes correlate with the local continuum andare independent of the intrinsic line strength(Einstein Acoefficient).The observed linefluxes and widths suggestthat these lines are formed in an inner region with well-determined size,and that only the intrinsically strongest lines have a contribution from outer layers.This paper is organized as follows.In Sect.2we briefly discuss the observations and data reduction.Section3discusses the continuum and Sect.4deals with the line spectrum.Sec-tion5discusses some implications of our measurements for the structure of the disc ofγCas.2.Observations and data analysisThe Be starγCas was observed with the SWS on board ISO on July22nd,1996,as part of the SWS guaranteed time programme BESTARS.A full spectral scan(2.4-45µm)usingAstronomical Observation Template(AOT)no. 1,speed4(De Graauw et al.1996)was obtained,while also several AOT02line scans were taken.The observa-tions were reduced using the SWS Interactive Analysis (IA3)software package,with calibrationfiles equivalent to pipeline version7.0.Further processing consisted of bad data removal and rebinning on an equidistant wavelength grid.Theflux levels are accurate to within5per cent for the wavelengths shortward of7µm.The observations be-tween7and12µm(band2C)suffer from memory effects; this has little influence on the measured line properties but does increase the uncertainty of the continuumflux level to15per cent.At even longer wavelengths the signal to noise ratio decreases dramatically and only the strongest lines can be measured with reasonable accuracy.Most of the emission lines are partially resolved with a ratio of FWHM to the FWHM of the instrumental profile between 1.4-3.5.Only6of the emission lines are considered unre-solved having this ratio below1.4.Since the SWS instru-mental profile is approximately Gaussian(Valentijn et al. 1996)and the observed lines are wellfitted by Gaussians, we estimate the original line width from:w obs2=w org2+w inst2,(1) where w obs is the observed FWHM,w org is the original FWHM and w inst is the FWHM of the instrumental pro-file.The latter value varies with wavelength.To determine w inst,we use measured line widths of emission lines of planetary nebulae;NGC7027and NGC6302,observed in the same observing mode.No significant line profile vari-ations are observed.We show thefinal AOT01spectrum in Fig.1.Fig.2.Schematic representation of the method used to derive the temperature from the Humphreys jump.On the left the observedflux(drawn line)and the photo-spheric contribution(dotted line)are shown.on the right the normalized excessflux is shown.Also indicated is the wavelength(λ′)longward of the jump where the excess is equal to the excces at the jump.3.The continuum energy distributionThe continuum energy distribution ofγCas at IR wave-lengths is dominated by free-free and bound-free emission from the ionized part of the circumstellar gas(e.g.Poeck-ert&Marlborough1978;Waters et al.1987).The stel-lar contribution to the totalflux is about20per cent at 2.4µm,based on extrapolation of a Kurucz model atmo-spherefitted to the UV continuum(Telting et al.1993). The spectrum can be well represented by a single power-law,Sν∝να,withα=0.99±0.05.This spectral slope is slightly,but significantlyflatter,than that derived by Waters et al.(1987),based on IRAS broad-band photome-try taken in1983.We have used the simple isothermal disc model of Waters(1986)to estimate the radial density gra-dient in the disc,assuming a power-lawρ(r)=ρ0(r/R∗)−n, andfind n=2.8±0.1.The value ofρ0depends on the assumed opening angleθof the disc,as well as on the stel-lar radius and disc temperature.We use R∗=10R⊙and T disc=104K(see below).Analysis of the optical linear polarisation and interferometric imaging ofζTau(Wood et al.1997)suggests a half opening angle of2.5◦.We use a1◦half opening angle.The derived density at the stellar surface isρ0=3.5×10−11g cm−3;an emission measure EM=1.5×1061cm−3was found.There are some wavelength ranges that show a devi-ation from the power-law behavior of the continuum dis-cussed above.Near3.28µm the merging of the emissionS.Hony et al.:The infrared spectrum of the Be star γCassiopeiae3Fig.1.SWS AOT01speed 4spectrum of γCas between 2and 12µm.The spectrum is dominated by numerous emission lines from hydrogen.A few He lines are also observed.The inset shows the region aroud the Humphreys jump.The dashed line shows the jump in the continuum level due to the jump in bound −free opacity near 3.4µm.lines of the Humphreys series,with lower quantum level n =6,causes a jump.This Humphreys jump (seen in emission),which is similar to the Balmer jump at optical wavelengths,can be used to derive the average electron temperature of the emitting region.The difference in flux on both sides of the Humphreys jump is caused by a dis-continuity in bound-free (κff+bf )opacity of the gas in the disc.We write for the total continuum opacity.κff+bf ∝λ2×(1−e −ch/λkT )/(ch/λkT )×T −3/2×{g (λ,T )+b (λ,T )},(2)where g(λ,T)and b(λ,T)are the free-free and bound-free gaunt factors,respectively.b(λ,T)is a sensitive function of the temperature:the jump in b(λ,T)(and in flux)in-creases towards lower electron temperature.The change in g(λ,T)is negligible over the wavelength range of in-terest.The jump in b(λ,T)is thus a diagnostic of the temperature in the disc.We use the following method to determine the size of this jump:We define the normalized excess flux as Z λ−1=(F λ-F λ,∗)/F λ,∗,where F λ,∗is the stellar photospheric flux,see Fig.2.Z λ−1is normalized to the source function of the gas in the disc modulo aconstant since both the disc and the star radiate in the Rayleigh-Jeans limit in this wavelength regime and thus have the same wavelength dependence.On the blue side of the discontinuity b(λ,T)has a certain value,with a cor-responding value of κff+bf ,of τff+bf for each line of sight through the disc and thus a corresponding value of Z λ−1.Beyond the discontinuity there is a drop in b(λ,T),κff+bf ,τff+bf and Z λ−1.Since there is a wide range of τff+bf for different lines of sight Z λ−1is not a simple function of b(λ,T).However κff+bf steadily increases with wavelength,e.g.Eqn.2,and thus there is a wavelength (λ′)where the loss in b(λ,T)is compensated by the increase in λ.At λ′the κff+bf is equal to the previous value,so τff+bf and Z λ−1are also equal.We can determine λ′directly from the observations,e.g.Fig.2.Using λ′=3.470±0.005µm and the gaunt factors calculated by Waters &Lamers (1984)we find an electron temperature in the disc of 9500±1000K.This temper-ature would cause a weak but measurable jump at the Hansen-Strong series limit (near 4.5µm)but none is ob-served.However,we note that near this wavelength two strong H i lines are present that may mask an otherwise4S.Hony et al.:The infrared spectrum of the Be starγCassiopeiae detectable jump.The disc temperature agrees wellwith adensity-weighted temperature of10700K derived by Mil-lar&Marlborough(1998)from an energy balance calcula-tion using the Poeckert&Marlborough model for the discofγCas.Note that the inner regions of the disc may haveconsiderably higher temperatures,because this method isinsensitive to contributions of those parts of the highestdensity parts of the disc where the continuum is opticallythick.(see also Sect.4).A second region which deviatesfrom the power-law is near4.3µm.We cannotfind a rea-sonable identification for this spectral feature.The CO2stretch mode band is at4.27µm.However,the interstellarextinction towardsγCas is very low which implies thatwe must rule out this possibility.4.The emission linesThe entire SWS spectral region,but especially bands1and2(2.4-12µm),is dominated by strong and partiallyresolved emission lines.The vast majority of these linesare H i recombination lines.Wefind the series limit ofthe Humphreys and Hansen-Strong series,as well as thosefrom lower levels8,9and10.Several lines with lower lev-els above10were also identified.Wefind a few He i lines(notably at2.4861,2.5729,4.2960and4.0367µm).Noforbidden lines could be found,although several emissionfeatures are unidentified and could perhaps be attributedto forbidden lines.The strongest unidentified line is at2.8934µm,close to the2.8964[Ni ii]line.The lack offine-structure lines is consistent with the optical spectrum ofγCas.It is likely that the high density of the ionized gascauses collisional de-excitation of thefine-structure tran-sitions.This situation is markedly different for the hy-pergiant P Cygni,whose infrared spectrum is also domi-nated by H i recombination lines from circumstellar gas,but which also shows prominent emission from e.g.[Fe ii],[Ni ii]and[Si ii]in its ISO-SWS spectrum(Lamers et al.1996).We have measured the linefluxes with respect to boththe local continuum and the stellar photospheric contin-uum at line centre.The measured line properties are givenin Table1.In Fig.4we show the resulting curve of growthfor the emission lines,where we plot the equivalent widthEW divided by wavelength versus log X line.This lastquantity is proportional to the line optical depth(Zaalet al.1995).The observed linefluxes(Fig.3)are all muchsmaller(a factor10or more)than expected on the ba-sis of the continuum emission measure determination andthe optically thin case B recombination line predictions(Hummer&Storey1987).This shows that even for theweakest lines the emission is optically thick:the combinedline and continuum opacity is much larger than1.Thisis not surprising given the shape of the continuum energydistribution;Waters et al.(1991)show that the continuumbecomes optically thick near0.8µm.parison of measured line strengths with pre-dictions based on optically thin case B recombination the-ory.The dotted line denotes the locus where the measuredfluxes would equal the predictions.The crosses correspondto Brackettαandβ,the open squares to the Pfund se-ries,thefilled squares to the Humphreys series,the opentriangles to the Hansen-Strong series,the stars to n=8,and thefilled triangles to n=9.The shape of the empirical curve of growth is verydifferent from that expected on the basis of LTE line for-mation in a rotating,partially optically thick disc.Modelcalculations show that under these conditions the curve ofgrowth has a linear part(where line emission is opticallythin and proportional to line strength),and a power-lawpart whose slope depends on the radial density gradient ofthe gas(Zaal et al.1995),see also Wellmann(1952).Theobserved curve of growth however shows a very steep riseof EW/λwith X line up to log X line≈−36.5,followed byaflat part for−36.5<log X line<−35.0whose slope isclose to zero,i.e.much smaller than0.4expected on thebasis of the density gradient derived from the continuumfree-free and bound-free excess.Finally,a rising part forthe strongest lines in the spectrum(log X line>−35.0)isseen.Theflat part of the curve of growth is surprising andsuggests that these lines have saturated and are formed ina region with a well-defined outer radius.We note thatthe size of this region is not the same for every series,butincreases with lower quantum level.In order to understand better the nature of the lineformation inγCas,we show in Fig.5the line strengthEW is the line equivalent width measuredwith respect to the local continuum,as a function of wave-length.Also shown in Fig.5is the line FWHM versusS.Hony et al.:The infrared spectrum of the Be starγCassiopeiae5Table1.Properties of hydrogenic emission lines.λis the peak wavelength of the Gaussianfit.Typical errors on these are1/2500th of the wavelength.width is the FWHM of the line after deconvolution.I is the integrated line-flux.cont. is the mean continuum level underneath the line.The errors on the continuum level are dominated by the absolute flux calibration uncertainty of the SWS instrument.(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)trans.λwidth I cont.trans.λwidth I cont.-[µm][kms−1][W/m2][Jy]-[µm][kms−1][W/m2][Jy] EW/λand the FWHM show a char-acteristic wavelength dependence:for each series,6S.Hony et al.:The infrared spectrum of the Be starγCassiopeiaeFig.5.Top panel:EW/λof the H i lines in the ISO-SWS spectrum ofγCas as a function of wavelength.Symbols are the same as in Fig.3.The EWs have been determined with respect to the local continuum.The EWs for all series behave in a similar way.For moderately strong lines the EW/λdoes not depend on wavelength and is about5×10−3 irrespective of the series.Only the strongest lines of each series deviate from this trend.Bottom panel:observed full width at half maximum of the H i lines versus wavelength.The symbols refer to the same series as in the upper panel. The lines become narrower with increasing line strength as expected in a rapidly rotating disc in which the rotational velocity decreases with distance.The FWHM does not decrease further for moderately strong lines.These lines also show a constant EW/λ(upper panel).lineflux is coming from the outer,more slowly rotating regions,the line width will decrease.This is direct proof of the rotating nature of the line emitting region.It is remarkable that the weakest lines of each series have a very high FWHM of more than550km s−1.Such high velocities are not expected given the photospheric v sin i of230km s−1(Slettebak1982).This suggests that the inner disc is rotating more rapidly than the star.However, line broadening due to electron scattering could also cause these large line widths,but we do not observe prominent electron scattering wings.If we assume that the line and continuum source func-tions are equal,no line emission from the layers with τff>1should be detectable.However,the large line width of the weakest lines strongly suggests that this line emis-sion is originating from rapidly rotating parts of the disc. The fact that the line FWHM decreases with increasing line strength shows that the broad,weak lines are formed closest to the star.In the2.5to7µm wavelength region, where most of the weakest lines in Fig.5are located,the continuum is optically thick out to a radius of2.5to3R∗. Assuming Keplerian rotation in the disc,the part of the disc which is not optically thick for continuum radiation rotates at projected speeds less than about v0sin i/1.7, where v0is the Keplerian velocity of the disc at the stel-lar ing reasonable values for the mass and ra-dius for a B0.5IV star of R∗=10R⊙and M∗=15M⊙, wefind a maximum speed of about220km s−1.Emis-sion lines in the disc whose source function is equal to that of the continuum therefore should have FWZI less than440km s−1,but even the FWHM of the weak lines is significantly higher than this.It is unlikely that rota-tional velocities are as high as250-300km s−1as far out as2.5-3R∗,unless the rotational velocityfield deviatesS.Hony et al.:The infrared spectrum of the Be starγCassiopeiae7Fig.4.Measured linefluxes,expressed in equivalent width(EW/λ)with respect to the stellar continuum versus lineopacity.The linefluxes are independent of line strengthbetween log X line≈−36and−35.significantly from Keplerian.We conclude that we detectline emission from those parts of the disc that are opti-cally thick for continuum radiation,and hence the linesource function in these inner regions must exceed thatof the continuum(which is the Planck function at the lo-cal electron temperature).Several effects can cause sucha larger source function:NLTE level populations,or anenhanced electron temperature near the upper part of thedisc.If the latter effect is important,temperatures in theline forming regions may be as much as30per cent higherthan in the bulk of the disc,since the stronger lines are1.3times the continuum.As pointed out above,the observed linefluxes of everyseriesfirst increase with intrinsic line strength,but thenreach a constant value with respect to the local contin-uum,both in8S.Hony et al.:The infrared spectrum of the Be starγCassiopeiaementum may lead to spin-down of the star(Porter1998). Using the formalism given by Porter(1998),and assum-ing a full opening angle of2degrees andρ0of3×10−11 g cm−3,the outflow velocity in the disc near the star can be of the order of1km s−1without significant spin-down of the star during its main sequence life time.Such a value is in agreement with the observed line shape.The picture which emerges from our analysis of the in-frared spectrum ofγCas is that of a circumstellar region of very high density,perhaps exceeding310−11g cm−3, which is rotating rapidly and whose rotational velocity de-creases with distance.The rotational velocity in the disc near the star exceeds that of the photosphere.This re-gion is heated by radiation from the central star,and the surface layers which directly absorb the stellar radiation field have higher temperatures than regions closer to the equatorial plane of the disc.While the weak lines originate from these dense,warm regions,only the strongest,αand β,lines of each series probe the outer portions of the disc. Acknowledgements.LBFMW and AdK acknowledgefinancial support from an NWO Pionier grant.JMM acknowledges sup-port from an NSERC grant.JMM and LBFMW acknowledge financial support from a NATO Collaborative Resarch Grant (CRG.941220).This work was supported by NWO Spinoza grant08-0to E.P.J.van den Heuvel.CEM acknowledgesfi-nancial support from an NSERC postgraduate scholarship. ReferencesBjorkman J.E.,Cassinelli J.P.:1993,ApJ409,429 Chalabaev A.,Maillard J.P.:1983,A&A127,279 Dachs J.,Hanuschik R.,Kaiser D.,Rohe D.:1986,A&A 159,276De Graauw T.,Haser L.N.,Beintema D.A.,et al.:1996, A&A315,L49Dougherty S.M.,Taylor A.R.:1992,Nat359,808 Hamann F.,Simon M.:1987,ApJ318,356Hanuschik R.W.:1987,A&A173,299Hummer D.G.,Storey P.J.:1987,MNRAS224,801 Kessler M.F.,Steinz J.A.,Anderegg M.E.,et al.:1996, A&A315,L27Lamers H.J.G.L.M.,Najarro F.,Kudritzki R.P.,et al.: 1996,A&A315,L229Lowe R.P.,Moorhead J.M.,Wehlau W.H.,Barker P.K., Marlborough J.M.:1985,ApJ290,325Millar C.E.,Marlborough J.M.:1998,ApJ494,715+ Okazaki A.T.:1999,In:IAU Colloq.169,in pres Poeckert R.,Bastien P.,Landstreet J.D.:1979,AJ84,812 Poeckert R.,Marlborough J.M.:1978,ApJ220,940 Porter J.M.:1998,A&A333,L83Slettebak A.:1982,ApJS50,55Stee P.,Vakili F.,Bonneau D.,Mourard D.:1998,A&A 332,268Telting J.H.,Waters L.B.F.M.,Persi P.,Dunlop S.R.: 1993,A&A270,355Valentijn E.A.,Feuchtgruber H.,Kester D.J.M.,et al.: 1996,A&A315,L60Vogt S.S.,Penrod G.D.,Soderblom D.R.:1983,ApJ269, 250Waters L.B.F.M.:1986,A&A162,121Waters L.B.F.M.,Cote J.,Lamers H.J.G.L.M.:1987,A&A 185,206Waters L.B.F.M.,Lamers H.J.G.L.M.:1984,A&AS57, 327Waters L.B.F.M.,Marlborough J.M.,Van Der Veen W.E.C.,Taylor A.R.,Dougherty S.M.:1991,A&A244, 120Wellmann P.:1952,Zeitschrift Astrophys.30,96+ Wood K.,Bjorkman K.S.,Bjorkman J.E.:1997,ApJ477, 926+Zaal P.A.,Waters L.B.F.M.,Marlborough J.M.:1995, A&A299,574+。

光谱带宽英文

光谱带宽英文

光谱带宽英文The spectral bandwidth is a measure of the range of frequencies or wavelengths within a given spectrum. It is typically defined as the difference between the highest and lowest frequencies or wavelengths present in the signal. In the context of optics and spectroscopy, the spectral bandwidth refers to the range of frequencies or wavelengths over which a detector or system is sensitive.There are different ways to quantify the spectral bandwidth depending on the specific application. In spectroscopy, the full width at half maximum (FWHM) is commonly used to measure the spectral bandwidth of a peak. This measure represents the width of the peak at half ofits maximum intensity and provides a standardized way to compare the bandwidths of different spectral lines.In telecommunications, the spectral bandwidth of asignal is often expressed in terms of the data rate or bandwidth required to transmit the signal. This is important for determining the capacity of a communication channel and ensuring that the signal can be accurately and efficiently transmitted.In general, a wider spectral bandwidth allows for the transmission of more information or the detection of a broader range of signals. However, a wider bandwidth also requires more resources and may lead to increased noise or interference. Therefore, there is often a trade-off between spectral bandwidth and signal quality in many applications.在光谱学中,光谱带宽是指信号中包含的频率或波长范围的度量。

211050369_分散固相萃取-超高效液相色谱-串联质谱法测定海龙中11_种磺胺类抗菌药物残留

211050369_分散固相萃取-超高效液相色谱-串联质谱法测定海龙中11_种磺胺类抗菌药物残留

分析测试新成果 (16 ~ 22)分散固相萃取-超高效液相色谱-串联质谱法测定海龙中11种磺胺类抗菌药物残留王小乔1 ,李 坚1 ,许晓辉1 ,李剑勇2 ,吴福祥1 ,张虹艳1 ,潘秀丽1 ,李 赟1(1. 兰州市食品药品检验检测研究院/食品中农药兽药残留监控国家市场监管重点实验室,甘肃 兰州 730050;2. 中国农业科学院 兰州畜牧与兽药研究所,甘肃 兰州 730050)摘要:采用超高效液相色谱串联三重四极杆质谱(UPLC-MS/MS )技术,建立了测定海龙中11种磺胺类抗菌药物残留量的分析方法. 样品经2%甲酸-乙腈超声提取,增强型脂质去除分散固相萃取净化管(EMR-Lipid dSPE )净化,采用Waters ACQUITY BEH C 18色谱柱(1.7 µm ,2.1 mm×100 mm )分离,电喷雾离子源电离,正离子多反应监测模式(MRM )检测,以含2 mmol/L 乙酸铵-0.1%甲酸的水溶液和含0.1%甲酸的乙腈溶液为流动相进行梯度洗脱,外标法定量. 11种磺胺类抗菌药物在0~30 ng/mL 的质量浓度范围内线性关系良好,相关系数(R 2)均不低于0.995 9,检出限(LOD )与定量限(LOQ )分别在0.11~1.30 µg/kg 和0.37~4.40 µg/kg 之间,11种磺胺类抗菌药物在质量浓度为20.0、50.0、100.0 µg/kg 时的三个加标水平的平均回收率为62.5%~118.1%,相对标准偏差为2.1%~9.2%. 方法前处理简便、准确性好,可用于海龙中11种磺胺类抗菌药物残留的快速筛查.关键词:海龙;超高效液相色谱-三重四极杆质谱联用法;磺胺类药物;分散固相萃取;残留量中图分类号:O657. 63 文献标志码:B 文章编号:1006-3757(2023)01-0016-07DOI :10.16495/j.1006-3757.2023.01.003Determination of 11 Sulfonamide Antibacterial Drug Residues in Syngnathus by Ultra-Performance Liquid Chromatography-Mass Spectrometry Combined with Dispersed Solid Phase ExtractionWANG Xiaoqiao 1, LI Jian 1, XU Xiaohui 1, LI Jianyong 2, WU Fuxiang 1, ZHANG Hongyan 1,PAN Xiuli 1, LI Yun1(1. Lanzhou Institute for Food and Drug Control/Key Laboratory of Pesticides and Veterinary Drugs Monitoringfor State Market Regulation , Lanzhou 730050, China ;2. Lanzhou Institute of Husbandry and Pharmaceutical Sciences of CAAS , Lanzhou 730050, China )Abstract :An analytical method for the determination of 11 sulfonamide antibacterial drug residues in Syngnathus by ultra-performance liquid chromatography-mass spectrometry (UPLC-MS/MS) has been established. The samples were extracted by ultrasonication with 2% formic acid-acetonitrile, purified by an enhanced matrix removal lipid-dispersed solid phase extraction (EMR-Lipid dSPE), and separated on a Waters ACQUITY BEH C 18 column (1.7 µm, 2.1 mm×100mm). The analytes were detected by mass spectrometry using the positive electrospray ionization mode under multiple reaction monitoring mode (MRM), with 2 mmol/L ammonium acetate-0.1% formic acid in aqueous solution and 0.1%收稿日期:2022−10−19; 修订日期:2023−01−08.基金项目:甘肃省市场监督管理局科技计划资助项目(SSCJG-SP-A202204)作者简介:王小乔(1973−),女,本科,研究方向:食品药品检验检测与研究,E-mail :通信作者:李坚(1969−),男,本科,主管药师,研究方向:食品药品检验检测与研究,E-mail :.第 29 卷第 1 期分析测试技术与仪器Volume 29 Number 12023年3月ANALYSIS AND TESTING TECHNOLOGY AND INSTRUMENTS Mar. 2023formic acid in acetonitrile as mobile phases by a gradient elution program, and quantified by the external standard method. The results showed that the 11 antibacterial sulfonamides had good linearity in the range of 0~30 ng/mL, the correlation coefficient (R2) were all greater than 0.9959, the limit of detection (LOD) and quantitation (LOQ) were in the range of 0.11~1.30 µg/kg and 0.37~4.40 µg/kg, respectively. At three spiked levels of 20.0, 50.0 and 100.0 µg/kg, the spiked average recoveries of the analytes were in the range of 62.5%~118.1%, and the relative standard deviation was 2.1%~9.2%. The method is accurate, straightforward, and is suitable for the rapid screening of 11 sulfonamide antibacterial drug residues in Syngnathus.Key words:Syngnathus;UPLC-MS/MS;sulfonamides;solid phase extraction;residues海龙是一种药用价值很高的动物源性中药材,也是一种水产品,其为刁海龙Solenognathus hardwickii(Gray)、拟海龙Syngnathoidesbiaculeatus (Bloch)或尖海龙Syngnathus acus Linnaeus的干燥体[1-4],主要成分是甾体类、脂肪酸、蛋白质、氨基酸、微量元素等,具有温肾壮阳、散结消肿等功效,广泛应用于临床治疗中[5]. 因野生海龙资源稀缺,市场所见海龙主要来源于人工养殖. 在海龙养殖过程中,养殖户为了避免其受细菌感染而造成经济损失,常使用磺胺类药物进行预防治疗. 但有些不良养殖户违规超量使用磺胺类药物,导致药物残留在海龙体内,人类通过食用海龙进而转移到人体内[6-8]. 人类若食用磺胺类药物残留量较高的海龙,易产生药物蓄积,导致肾毒性与过敏反应,甚至会破坏胃肠道菌群平衡,引起白细胞减少等[9-10]. 当前,有关海龙中磺胺类抗菌药物残留量的常规监测未见文献报道,因此,从安全角度出发,很有必要建立简便、可靠的方法以满足海龙中磺胺类药物残留检测的需求.目前,测定动物源性食品中磺胺类药物应用最广泛的是超高效液相色谱-串联质谱法,其具有背景干扰少、灵敏度高、特异性强、选择性强等特点,适合复杂基质中微量成分的检测. 前处理方法应用最广泛的是分散固相萃取和固相萃取柱[11-14]. 传统的分散固相萃取难以去除动物源性食品中大部分脂质干扰物,固相萃取柱因需要活化、淋洗、洗脱和浓缩等,试验过程繁琐. 而增强型脂质去除分散固相萃取(enhanced matrix removal lipid-dispersed solid phase extraction,EMR-Lipid dSPE)可选择性去除样品中的主要脂类且不影响目标分析物的提取效率,相比传统的分散固相萃取和固相萃取柱,EMR-Lipid dSPE具有操作简单、杂质净化高效的优势.为了监测与评判海龙中磺胺类药物残留的暴露水平与风险,本研究采用2%甲酸-乙腈提取干燥样品中的目标待测物,使用EMR-Lipid dSPE净化技术去除脂类等非极性杂质,建立了一种基于超高效液相色谱质谱联用法同时测定海龙中11种磺胺类抗菌药物残留量的分析方法. 该方法快速简单、重复性好、定量准确,适用于海龙中磺胺类药物残留的风险监测.1 试验部分1.1 仪器与试剂Agilent 1290 Infinity II-6460C超高效液相色谱串联三重四极杆质谱联用仪(配置离子源为Agilent Jet Stream电喷雾离子源)、EMR-Lipid dSPE净化管(美国安捷伦科技有限公司);MS105DU型电子天平(瑞士梅特勒托利多有限公司);VXR涡旋混合器(德国艾卡仪器设备有限公司);H1850离心机(湖南湘仪实验室仪器开发有限公司);SB-800DT超声波清洗机(宁波新芝生物科技股份有限公司).乙腈(色谱纯,德国默克公司);乙酸铵、甲酸(色谱纯,日本东京化成工业株式会社);蒸馏水(广州屈臣氏食品饮料有限公司);其余试剂均为分析纯. 对照品:磺胺甲基嘧啶(批号:G982705,纯度:99.1%)、磺胺甲噁唑(批号:G150000,纯度:99.5%)、磺胺氯哒嗪(批号:G119228,纯度:99.1%)、磺胺邻二甲氧嘧啶(批号:G151421,纯度:99.1%)、磺胺噻唑(批号:G980077,纯度:99.2%)、磺胺间二甲氧嘧啶(批号:G122608,纯度:99.5%)、磺胺甲二唑(批号:G974370,纯度:99.3%)、磺胺甲氧哒嗪(批号:G150001,纯度:99.7%)均来源于德国Dr.Ehrenstorfer GmbH公司;磺胺嘧啶(批号:100026-201404,纯度:99.7%)、磺胺二甲嘧啶(批号:100411-200501,纯度:100%)来源于中国食品药品检定研究院;磺胺间甲氧嘧啶(批号:97864,纯度:99.1%)来源于曼哈格生物科技有限公司. 实际检测样品的信息如下:甘肃第 1 期王小乔,等:分散固相萃取-超高效液相色谱-串联质谱法测定海龙中11种磺胺类抗菌药物残留17中医药大学附属医院2批(批号:20141101);广西蓝正药业有限责任公司2批(批号:200901);甘肃陇脉药材有限公司1批(批号:190701).1.2 对照品溶液配制精密称取11种磺胺类药物对照品10.0 mg,分别置于10 mL棕色容量瓶中,加适量乙腈并超声使其溶解,取出放至室温,使用乙腈稀释至刻度,摇匀,得到质量浓度均为1 mg/mL的对照品储备溶液,于−18 ℃下保存备用. 分别准确吸取上述各对照品储备溶液0.025 mL,置于同一个25 mL的棕色容量瓶中,使用乙腈稀释至刻度,摇匀,得到质量浓度均为1 µg/mL的混合对照品中间溶液,于−18 ℃下保存备用. 再精密移取1.00 mL上述混合对照品中间溶液,置于10 mL棕色容量瓶,用乙腈稀释至刻度,摇匀,得到质量浓度均约为100 ng/mL的磺胺类药物混合对照品溶液,于4 ℃冷藏备用.1.3 供试品溶液配制取适量供试样品,粉碎,精密称取1 g,置于50 mL容量瓶中,加入2 mL水复原,静置20 min,精密加入10.00 mL 2%甲酸-乙腈,涡旋振荡2 min,超声处理20 min,再加入4 g硫酸钠和1 g氯化钠,涡旋振荡2 min,在3 900 r/min转速下离心15 min,精密移取上层清液2.00 mL置于EMR-Lipid dSPE 净化管,涡旋振荡1 min,在3 900 r/min转速下离心20 min,取上层清液,过0.22 µm有机滤膜,上机测定.1.4 色谱条件色谱柱:Waters ACQUITY BEH C18色谱柱(1.7µm,2.1 mm×100 mm). 流动相:A相为含2 mmol/L 乙酸铵和0.1%甲酸的水溶液,B相为含0.1%甲酸的乙腈溶液,梯度洗脱程序如下:0~1.0 min,15% B;1.0~2.0 min,30% B;2.0~3.0 min,40% B;3.0~4.5 min,90% B;4.5~6.5 min,90% B;6.5~7.0 min,15% B;7.0~8.0 min,15% B. 柱温:35 ℃;进样量:2 µL;流速:0.2 mL/min.1.5 质谱条件离子源:安捷伦喷射流电喷雾离子源(agilent jet stream electron spray ionization,AJS ESI);离子极性:正离子;采集模式:多反应监测模式(multiple reaction monitoring,MRM);气流温度:325 ℃;雾化气:N2;干燥气流速:6 L/min;雾化器压强:0.31 MPa;鞘气流速:10 L/min;鞘气温度:350 ℃;毛细管电压:4 000 V;各个磺胺类药物的质谱参数及保留时间如表1所列.2 结果与讨论2.1 前处理条件选择本试验检测的11种磺胺类药物在甲醇、乙腈中均能够很好的溶解,大多数被测目标化合物与乙腈极性接近,且乙腈能变性并沉淀蛋白,故选择乙腈作为海龙中磺胺类药物的提取溶剂. 由于磺胺类药物在酸性条件下容易发生质子化,酸化提取溶剂表 1 11种磺胺类药物的质谱参数及保留时间Table 1 Mass spectrum parameters and retention times of 11 sulfonamides序号名称保留时间/min母离子/(m/z)子离子/(m/z)碎裂电压/V碰撞能量/eV 1磺胺甲噁唑 4.665254.1156.0*/108.010010/25 2磺胺氯哒嗪 4.449285.0156.0*/108.010010/25 3磺胺间甲氧嘧啶 4.006281.1156.0*/108.010515/25 4磺胺甲基嘧啶 3.607265.1172.0/156.0*11012/15 5磺胺邻二甲氧嘧啶 4.585311.1156.0*/92.012015/30 6磺胺间二甲氧嘧啶 5.067311.0156.0*/108.013020/26 7磺胺二甲嘧啶 3.950279.1186.1*/156.112015/16 8磺胺嘧啶 2.902251.1156.0*/108.010010/22 9磺胺甲二唑 3.969271.0156.0*/108.09010/22 10磺胺噻唑 3.208256.0156.0*/108.010010/21 11磺胺甲氧哒嗪 4.287281.1156.0*/108.010515/25注:“*”为定量离子18分析测试技术与仪器第 29 卷有助于目标物的提取,本试验考察了在10 ng/mL 加标质量浓度下,乙腈、1%甲酸-乙腈、2%甲酸-乙腈、5%甲酸-乙腈的提取回收率和质谱响应. 结果发现,11种磺胺类药物在甲酸酸化乙腈中的质谱响应优于乙腈,当提取溶剂为2%甲酸-乙腈时,大部分磺胺类药物的质谱响应及提取回收率都优于其他甲酸酸化方案(如图1所示). 而EMR-Lipid dSPE 是一种新型分散固相萃取技术,常被用在QuEChERS 和蛋白质沉淀等净化流程中,可有效去除海龙中非极性的基质杂质,能够提高基质去除效率和分析重现性,与传统分散固相萃取相比,提高了净化效果.与固相萃取柱相比,净化流程简单快速,无繁琐的活化、上样、淋洗以及洗脱等步骤. 因此本试验最终采用2%甲酸-乙腈提取样品中目标待测物,EMR-Lipid dSPE 净化.2.2 色谱及质谱条件优化磺胺类药物含有相同的母体结构,在酸性条件下容易发生质子化,本试验选用了通用型超高效色谱柱Waters ACQUITY BEH C 18. 在正离子多反应监测采集模式下,流动相中加入适量甲酸能提高电喷雾源对目标检测物的离子化效率,加入适量乙酸铵能减少拖尾并改善峰形,因此选择在乙腈与水中加入不同浓度的甲酸、乙酸铵,考察峰形对称性、灵敏度与分离效果,寻找最佳流动相组合. 结果表明,在水相中加入2 mmol/L 乙酸铵和0.1%甲酸能显著改善峰形、提高灵敏度,在有机相中加入0.1%甲酸能提高离子化效果与重现性,稳定保留时间. 因此本试验采用含2 mmol/L 乙酸铵与0.1%甲酸的水溶液、含0.1%甲酸的乙腈作为流动相.分别将对照品溶液直接注入质谱仪,在正离子采集模式下,以全扫描(Scan )确定化合物准分子离子. 以选择离子扫描(Sim )确定碎裂电压,以子离子扫描(Product ion )确定丰度最高的2个子离子,分别作为定性离子与定量离子. 以多反应监测扫描(MRM )确定定性离子与定量离子的最佳碰撞能量,建立的仪器采集方法包含化合物名称、定性定量离子对、碰撞能量、碎裂电压以及驻留时间等.以多反应监测模式采集11种磺胺类抗菌药物的定性、定量离子对色谱图,其质量浓度为20ng/mL 的混合对照品溶液的提取离子流图如图2所示. 由图2可见,各个目标检测物监测通道互不干扰,所得采集峰形对称且响应良好.2.3 基质效应基质效应影响测定结果的准确性,因此,评价基质产生的基质效应十分有必要. 本试验通过考察同一浓度的空白样品基质溶液匹配混合对照品溶液,与2%甲酸-乙腈匹配混合对照品溶液质谱响应强度比值的百分比来评价基质效应(matrix effect ,ME ). ME 为(100±20)%,通常认为ME 弱. ME 大于120%或小于80%,分别为存在增强或抑制效应.如图3所示,磺胺间二甲氧嘧啶存在弱的增强效应,磺胺噻唑存在抑制效应,除此之外,其他目标检测物的基质效应较弱. 总体来说,基质效应不影响所有目标检测物的分析结果.2.4 方法学考察2.4.1 线性关系、检出限和定量限使用乙腈将混合对照品溶液依次稀释配制成质量浓度为0、1、2、5、10、20、30 ng/mL 的标准曲线磺胺间甲氧嘧啶磺胺甲噁唑回收率/%乙腈1% 甲酸乙腈2% 甲酸乙腈5% 甲酸乙腈140120100806040200磺胺氯哒嗪磺胺甲基嘧啶磺胺邻二甲氧嘧啶磺胺甲氧哒嗪磺胺间二甲氧嘧啶磺胺二甲嘧啶磺胺嘧啶磺胺甲二唑磺胺噻唑图1 不同提取溶剂的提取效率Fig. 1 Extraction efficiencies of different extraction solvents第 1 期王小乔,等:分散固相萃取-超高效液相色谱-串联质谱法测定海龙中11种磺胺类抗菌药物残留19溶液,外标法定量,以11种磺胺类药物的浓度(x )为横坐标,以定量离子的响应值(y )为纵坐标,绘制标准曲线. 取空白样品,逐级减少加入混合对照品溶液,按1.3项下方法处理样品,上机测定. 由提取的MRM 色谱图,以信噪比为3对应的质量浓度作为检出限(LOD ),以信噪比为10对应的质量浓度作为定量限(LOQ ),结果如表2所列. 由表2可见,11种目标检测物在0~30 ng/mL 的质量浓度范围内,线性关系良好,相关系数R 2不低于0.995 9,LOD 为0.11~1.30 µg/kg ,LOQ 为0.37~4.40 µg/kg.2.4.2 回收率与精密度选用海龙空白样品,分别添加20.0、50.0、100.0µg/kg 3个浓度水平的混合对照中间液,按照前处理方法处理后上机测定,每个浓度水平平行进行6次试验,每份待测样品溶液重复测定2次,计算回收率与精密度(RSD ),结果如表3所列. 由表3可见,11种目标待测物的平均回收率为62.5%~118.1%,RSD (n=6)为2.1%~9.2%,建立的分析方法完全能够满足实际样品的检测需求.2.5 样品测定采用本方法对5批海龙样品中11种磺胺类抗菌药物残留量进行测定,结果未检出目标检测物,如图4所示(其中1批阴性样品总离子流图),说明市售海龙中上述11种磺胺类抗菌药物残留在一定程度上处于低风险等级.3 结论本研究采用2%甲酸-乙腈作为提取溶剂,超声提取样品中目标待测物,EMR-Lipid dSPE 净化提取液,以正离子多反应监测模式检测,同时优化了液相色谱质谱检测条件,建立了一种超高效液相色谱质谱联用法同时测定海龙中11种磺胺类药物残留的分析方法,并进行了相关的方法学考察. 该方法具有线性关系良好、灵敏度高、准确度和精密度好的特点,且前处理简单、净化高效. 基质效应评价显示,虽然目标检测物存在不同程度的基质效应,但磺胺甲噁唑磺胺氯哒嗪磺胺间甲氧嘧啶磺胺甲基嘧啶磺胺邻二甲氧嘧啶磺胺甲氧哒嗪磺胺间二甲氧嘧啶磺胺二甲嘧啶磺胺嘧啶磺胺甲二唑磺胺噻唑2.0×103C o u n t s1.8×1031.6×1031.4×1031.2×1031.0×1030.8×1030.6×1030.4×1030.2×10300.81.2 1.62.0 2.4 2.83.23.64.44.0Acquisition time/min4.85.2 5.66.0 6.4 6.87.27.68.0图2 11种磺胺类药物对照品提取离子流图Fig. 2 Extract ion chromatogram of 11 standards of sulfonamides磺胺间甲氧嘧啶磺胺甲噁唑回收率/%140120100806040200磺胺氯哒嗪磺胺甲基嘧啶磺胺邻二甲氧嘧啶磺胺甲氧哒嗪磺胺间二甲氧嘧啶磺胺二甲嘧啶磺胺嘧啶磺胺甲二唑磺胺噻唑图3 11种磺胺类药物的基质效应Fig. 3 Matrix effects of 11 sulfonamides20分析测试技术与仪器第 29 卷不影响分析结果,符合准确定性定量要求. 该方法适用于海龙中磺胺类抗菌药物残留量的检测,可为监控海龙中磺胺类抗菌药物残留风险提供技术支撑.参考文献:国家药典委员会. 中华人民共和国药典(一部2020版)[M ]. 北京: 中国医药科技出版社, 2020:306.[ 1 ]吴伟建, 王燕, 王斌, 等. 基于聚类、主成分和判别分析的海龙红外指纹图谱研究[J ]. 中国药学杂志,2013,48(18):1540-1545. [WU Weijian, WANG Yan, WANG Bin, et al. Infrared fingerprint analysis of syngnathus' s ethanol extracts coupled with cluster[ 2 ]表 2 11种磺胺类药物的线性关系、检出限、定量限Table 2 Linear relationship, LOD, LOQ of 11 sulfonamides序号名称线性方程R2线性范围/(ng/mL )LOD/(µg/kg )LOQ/(µg/kg )1磺胺甲噁唑y =139.010x +28.158 70.995 90~300.48 1.602磺胺氯哒嗪y =107.763x +15.615 70.997 90~300.84 2.803磺胺间甲氧嘧啶y =171.804x +35.380 50.998 50~300.73 2.404磺胺甲基嘧啶y =141.980x +7.901 70.998 60~30 1.30 4.405磺胺邻二甲氧嘧啶y =1 038.220x +227.398 00.998 10~300.110.376磺胺间二甲氧嘧啶y =596.926x +90.787 30.998 60~300.38 1.307磺胺二甲嘧啶y =325.171x +42.142 30.998 80~300.170.548磺胺嘧啶y =146.238x +62.685 00.999 20~300.220.709磺胺甲二唑y =120.498x -3.966 50.999 20~300.95 3.1010磺胺噻唑y =117.540x +14.036 40.999 50~300.320.9711磺胺甲氧哒嗪y =165.395x+35.380 50.998 50~300.762.50表 3 11种磺胺类药物的回收率及RSD (n=6)Table 3 Recoveries and RSD of 11 sulfonamides 序号名称20.0 µg/kg50.0 µg/kg100.0 µg/kg加入质量/ng测得质量/ng 平均回收率/%RSD/%加入质量/ng 测得质量/ng 平均回收率/%RSD/%加入质量/ng测得质量/ng 平均回收率/%RSD/%1磺胺甲噁唑20.6814.0868.19.251.7038.8875.2 4.3103.4082.4179.7 3.92磺胺氯哒嗪21.7618.5485.27.754.4046.5185.5 3.7108.8088.4581.3 2.63磺胺间甲氧嘧啶21.6816.1974.7 4.854.2052.4696.8 3.2108.4083.3676.9 2.44磺胺甲基嘧啶22.0416.1873.4 3.855.1042.8777.8 6.9110.2085.0777.2 6.55磺胺邻二甲氧嘧啶21.7018.4485.0 2.754.2547.6887.9 3.0108.5098.0890.4 2.66磺胺间二甲氧嘧啶21.8219.7290.4 4.554.5555.80102.3 2.5109.10118.05108.22.17磺胺二甲嘧啶21.7621.3798.23.054.4053.9199.1 3.4108.80108.0499.3 2.88磺胺嘧啶22.7617.4176.5 4.656.9045.6380.2 5.8113.8084.8974.6 4.39磺胺甲二唑21.0024.42116.3 6.952.5062.00118.1 3.1105.00116.02110.54.710磺胺噻唑20.8013.0062.55.052.0032.9263.3 4.9104.0065.2162.76.011磺胺甲氧哒嗪22.5215.6769.64.356.3037.1065.92.9112.6074.6566.34.31.2×1031.0×1030.8×1030.6×1030.4×1030.2×1031.02.03.04.0Acquisition time/minC o u n t s5.06.07.08.0图4 阴性样品总离子流图Fig. 4 Total ion chromatogram of negative sample第 1 期王小乔,等:分散固相萃取-超高效液相色谱-串联质谱法测定海龙中11种磺胺类抗菌药物残留21analysis, principal component analysis and discrimin-ant analysis [J ]. 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[YU Limei,ZHANG Cong, SONG Chao, et al. Dispersive solid-phase extraction-ultra performance liquid chromato-graphy tandem mass spectrometry detecting sulfonam-ides residues in aquatic products [J ]. Chinese Agricul-tural Science Bulletin ,2017,33 (26):128-135.][ 13 ]张蓓蓓, 孙慧婧, 吉鑫. 混合型离子交换反相吸附固相萃取柱串联萃取-超高效液相色谱-串联质谱法测定地表水中32种抗生素的含量[J ]. 理化检验-化学分册,2022,58(8):893-901. [ZHANG Beibei, SUN Huijing, JI Xin. Determination of 32 antibiotics in sur-face water by ultra-high performance liquid chromato-graphy-tandem mass spectrometry after tandem extrac-tion with mixed ion exchange reversed phase adsorp-tion solid phase extraction columns [J ]. Physical Test-ing and Chemical Analysis (Part B:Chemical Analysis),2022,58 (8):893-901.][ 14 ]22分析测试技术与仪器第 29 卷。

分析化学英文文献

分析化学英文文献

I. vocabularyabsorbance吸光度acetic acid 乙酸acetone 丙酮acetonitrile 乙腈aliquot 等份(试液)aluminum foil 铝箔analytical chemistry 分析化学American Chemical Society (缩写ACS) 美国化学会autosampler 自动进样器beaker 烧杯bibliography 参考书目blender 混合器,搅拌机buffer solution 缓冲溶液burette 滴定管cartridge 柱管centrifugation 离心Chemical Abstracts (缩写CA) 化学文摘chemical analysis 化学分析chromatograph 色谱仪chromatogram色谱图cloud point extraction(缩写CPE)浊点萃取confidence level 置信水平conical flask 锥形瓶daughter ion 子离子dichloromethane 二氯甲烷Diode array detector (缩写DAD)二极管阵列检测器dilution 稀释(n.)disperser solvent 分散剂dispersive liquid–liquidmicroextraction 分散液液微萃取distilled water 蒸馏水dropping pipet 滴管electrochemical analysis电化学分析electrode 电极electrolyte 电解质electromagnetic spectrum 电磁波谱electrospray ionization (缩写ESI ) 电喷雾离子化eliminate 消除(v.)eluate 洗出液eluent 洗脱剂elute 洗脱(v.)elution 洗脱(n.)Encyclopedia of analytical chemistry分析化学百科全书The Engineering Index (缩写EI )工程索引enrichment factor 富集因子Evaporative Light Scattering Detector(缩写ELSD) 蒸发光散射检测器extract 萃取(v.)、萃取物(n.)extraction efficiency 萃取效率filter 过滤(v.)、过滤器(n.) filtrate 滤出液filtration 过滤fluorescence荧光fluorometry荧光分析法formic acid 甲酸funnel 漏斗gas chromatography–mass spectrometry (缩写GC–MS) 气相色谱-质谱gas chromatography coupled to tandem mass spectrometry (缩写GC–MS/MS)气相色谱-串联质谱gel filtration chromatography凝胶过滤色谱法gel permeation chromatography凝胶渗透色谱法graduated cylinder 量筒high performance liquid chromatography (缩写HPLC) 高效液相色谱homogenate 匀浆(n.) homogenize 使均质,将……打成匀浆hydrophobic 疏水的identification 鉴定Impact Factor影响因子incubation time 温育时间Index to Scientific Technical Proceedings (缩写ISTP)科技会议录索引indicator 指示剂instrumental analysis 仪器分析interference 干扰ion enhancement 离子加强ion exchange chromatography离子交换色谱法ion source 离子源ion suppression 离子抑制limit of detection (缩写LOD)检出限limit of quantitation (缩写LOQ)定量限linearity 线性linear range 线性范围linear regression equation 线性回归方程liquid chromatography tandem massspectrometry (缩写LC-MS/MS)液相色谱串联质谱liquid chromatography withelectrospray ionizationtandem mass spectrometry (缩写LC-ESI-MS/MS)液相色谱电喷雾串联质谱liquid-liquid partition chromatography液液分配色谱法liquid-solid adsorptionchromatography 液固吸附色谱法mass analyzer 质量分析器Mass Spectrometer 质谱仪mass spectrum 质谱图mass-to-charge ratio 质荷比matrix effect 基质效应maximum absorption 最大吸收maximum value 最大值measuring pipet 吸量管methanol 甲醇micelle 胶束microwave assisted extraction 微波辅助提取minimum value 最小值mobile phase 流动相molarity 摩尔浓度monograph专著Multiple-reaction monitoring 多反应监测(缩写MRM)normal phase liquid chromatography正相液相色谱法nominal concentration 标示浓度optimization 优化outlier 离群值parent ion 母离子pipette 移液管polycyclic aromatic hydrocarbons 多环芳烃potentiometry电位法preconcentration 预浓缩primary literature一次文献quadrupole-time- of-flight massspectrometry 四极杆-飞行时间质谱(缩写Q-TOF MS)qualitative analysis 定性分析quality assurance and quality control(缩写QA/QC)质量保证和质量控制quantification 定量quantitative analysis 定量分析reconstitute 重组、复溶(v.)recovery 回收率refractive index detector 折光指数检测器,示差折光检测器relative abundance 相对丰度relative standard deviation (缩写RSD)相对标准偏差reproducibility 重现性reversed phase liquid chromatography(缩写RPLC)反相液相色谱法Royal Society of Chemistry(缩写RSC)英国皇家化学会Science Citation Index (缩写SCI )科学引文索引Science Citation Index Expanded (缩写SCIE) 科学引文索引扩展版Scientific notation 科学计数法signal to noise ratio (缩写S/N)信噪比size exclusion chromatography尺寸排除色谱法secondary literature二次文献solid-phase extraction (缩写SPE)固相萃取solid-phase microextraction (缩写SPME)固相微萃取spike 添加(v.)standard solution标准溶液stationary phase 固定相stirring bar 搅拌棒stoichiometric point化学计量点surfactant 表面活性剂supernatant 上清液syringe 注射器tap water 自来水Teflon 聚四氟乙烯tetrahydrofuran 四氢呋喃titrant 滴定剂titration滴定Ultra performance liquidchromatography (缩写UPLC) 超高效液相色谱Ultraviolet/VisibleSpectrophotometry 紫外/可见分光光度法vacuum 真空vessel 容器volumetric flask 容量瓶volumetric analysis容量分析法voltammetry 伏安法II. Terms and their definitionsAccuracy 准确度A measure of the agreement between an experimental result and its expected value.Analysis 分析A process that provides chemical or physical information about the constituents in the sample or the sampleitselfAnalyte 被测物,被分析物The constituent of interest in sampleCalibration curve 校准曲线The result of a standardization showing gr aphically how a method’s signal changes with respectto the amount of analyte.Calibration method 校准方法The basis of quantitative analysis: magnitude of measured property is proportional toconcentration of analyteChromophore 生色团A functional group which absorbs a characteristic ultraviolet or visible wavelengthGradient elution 梯度洗脱T he process of changing the mobile phase’s solvent strength to enhance the separation of bothearly and late eluting solutes.Gravimetric analysis重量分析A type of quantitative analysis in which the amount of a species in a material is determined by converting the species into a product that can be isolated and weighed.Isocratic elution 等度洗脱the use of a mobile phase whose composition remains constant throughout theseparation.Matrix 基质All other constituents in a sample except for the analytesMethod blank方法空白A sample that contains all components of the matrix except the analyte.Outlier 离群值Data point whose value is much larger or smaller than the remaining data.Precision精密度An indication of the reproducibility of a measurement or resultQuantitative analysis 定量分析The determination of the amount of a substance or species present in a material. Quantitative transfer 定量转移The process of moving a sample from one container to another in a manner that ensures allmaterial is transferred.Selectivity选择性A measure of a method’s freedom from interferences as defined by the method’s selectivity coefficient. Significant figures有效数字The digits in a measured quantity, including all digits known exactly and one digit (the last) whosequantity is uncertain.Spectrophotometry分光光度法. An analytical method that involves how light interacts with a substanceStock solution储备液 A solution of known concentration from which other solutions are prepared.Titration curve滴定曲线A graph showing the progress of a titration as a function of the volume of titrant added.Validation(方法)确证,验证The process of verifying that a procedure yields acceptable results.Titration error滴定误差The determinate error in a titration due to the difference between the end point and the equivalencepoint.III. Common knowledges1.Some key journals in Analytical Chemistry: Analytical ChemistryTrends in Analytical ChemistryJournal of Chromatography AJournal of Chromatography BAnalystAnalytica Chimica ActaTALANTACritical Reviews in Analytical Chemistry Analytical and Bioanalytical ChemistryELECTROPHORESIS2. Types of articles published in scientific journals:Full Length Research PapersRapid CommunicationsReviewsShort CommunicationsDiscussions or Letters to the Editor(Some journals publish all types of articles, while others are devoted to only a single type.)3. The structure of a scientific paper:•Title•Authors (with affiliations and addresses) • Abstract (summary)• Key words•Introduction•Experimental•Results and discussion•Conclusion•Acknowledgement•References4. How to Read a Scientific Paper:Five Helpful Questions•1) WHY did they do this set of experiments?•2) HOW were the experiments actually done?•3) WHAT are the results?•4) WHAT can be concluded from the results?•5) Did they do everything correctly?5. Five-step analyzing process1) Identify and define the problem.2) Design the experimental procedure.3) Conduct an experiment and gather data.4) Analyze the experimental data.5) Report and suggestionIV. Translation exercises1. 用分散液- 液微萃取法对杀菌剂的水样品中的测定(杀真菌剂)开发的。

MSpec 辐射探测仪说明书

MSpec 辐射探测仪说明书

A D V A N C E D T E C H N O L O G Y F O R A S A F E R W O R L DM S pec with protective bootMSpecGamma & Gamma/NeutronHandheld SpectrometerLocate and Identify Specific IsotopesThe MSpec is palm sized gamma ray spectrometer that utilizes a Sodium doped Cesium Iodide Crystal with high signal to noise ratio PMT and state-of-the-art electronics for the most accurate results. The MSpec scans suspect material and quickly analyzes to determine what nuclide isotope is present and then calorizes the result as Medical, Industrial, Natural Occurring Radioactive Material (NORM), or Special Nuclear Material (SNM).User FriendlyThe MSpec has two modes a user may choose from: Manual or Automatic. Automatic is the quickest and easiest to use mode. Set in Automatic the MSpec will search for and detect radioactive material. Once in range the instrument will automatically begin isotopic identification and display the results. Manual mode gives the user greater control including the ability for longer scan times which increases the accuracy of results. This is especially important if there are multiple isotopes present in the same sample.RadView SoftwareR adComm’s exclusive RadView software interfaces with a user’s PC and enables a user to see detailed results of recorded scans in a Histogram format. Each result can be edited with comments, saved as a PDF and archived for future reference or email compatibility.LAURUS Systems, Inc. - Ph: 410-465-5558 - Fax: 410-465-5257 - LAURUS Systems, Inc. - Ph: 410-465-5558 - Fax: 410-465-5257 - RadView PC Software Program for Data ManagementMECHANICAL∙ Rugged Case: 4.75” x 2.5” x 1.22” (12 cm x 6.4cm x 3.1cm) ∙ Display Window : 1.56” x 1.81” (3.96cm x 4.6cm) ∙ Weight : 0.44lbs (200g)∙ Five Push Button Actuation Mini USB Connector for Internal Battery Charging∙ Operating Temperature Range: 14ºF to +113ºF (-10°C to +45ºC) ∙ Thru-hole for Audio Alarm∙Shock resistance – 1 meter drop test ELECTRICAL∙ Micro-Controller Based Architecture ∙ 1.56” x 1.81” (3.96cm x 4.6cm) LCD with Backlight∙ Backlight Auto-Off (180 seconds) with Push Button Auto-On ∙ Audio Alarm with Vibration∙ Stable Low Noise H.V. Power Supply∙ Internal Rechargeable Li Ion Battery with Charging LED indicator ∙ Battery Life: 6 hours continuous with Backlight∙Battery Recharge Time: 4.5 hours based on 2400mAh BatterySOFTWARE∙ Menu Driven User Interface∙ Menu Feature Selection Controlled by a Five Push Button Actuation ∙ Storage of 300 spectra, resettable and downloadable via USB∙ Selectable Features: Date and Time, Units of Measure, Readings Update, Language ∙ PC Configurable∙ Up to 6 Digit Auto-Scaling Displayed Radiation Level ∙ Selectable Displayed Units - CPS, R/hr, Sv/hr∙ Base Sampling Rate is 200 mSec, Screen Updates Every 1/Second (CPS)∙ Battery Level Indicator: Three Bars for Full Battery, Low Battery Warning Message with the battery bar flashing, 10% Battery Capacity Remaining Audio Beep Every One Minute, System will Turn Off at 5% Battery Capacity∙Warning Messages: Move Closer; Move Away, CPS Exceeds Threshold, Stabilization Off. No ID, Stabilization Required, Memory is Full, ScanningDETECTOR Gamma∙ CsI(Na) Crystal: 0.5” X 1.5” (13mm X 38mm) ∙ Energy Range: 20 KeV – 3.0 MeV∙ Dose Rate Range: 1 μR/hr to 1 R/hr (0.01μSv/hr to 10.0 mSv/hr) ∙ Gamma Sensitivity: Cs137 1,300 (cps/mR/hr) ∙ Gamma Spectrum: 1024 Channels ∙ Resolution: 9% or better at 662 KeV∙ Optional Neutron Detector; 4.5 cm³ He3, Sensitivity - .6 cps per /NV ∙ Accumulated Dose: 1000 R (10 Sv), resettable ∙Radiation Warning Level: 1.14 mR/hr (10.0 μSv/hr)Neutron∙ Neutron He3 Tube ∙ High Density Moderator∙ High Gain with High Signal to Noise Ratio Amplifier ∙ Mechanical Noise rejection Circuitry∙Neutron Software Option for the MSpec and the PC SoftwareSPECIFICATIONSMSpecReal Time Spectrum Display。

NeXt generation-dynamic spectrum access-cognitive

NeXt generation-dynamic spectrum access-cognitive

NeXt generation/dynamic spectrum access/cognitiveradio wireless networks:A surveyIan F.Akyildiz,Won-Yeol Lee,Mehmet C.Vuran *,Shantidev MohantyBroadband and Wireless Networking Laboratory,School of Electrical and Computer Engineering,Georgia Institute of Technology,Atlanta,GA 30332,United StatesReceived 2January 2006;accepted 2May 2006Available online 17May 2006Responsible Editor:I.F.AkyildizAbstractToday’s wireless networks are characterized by a fixed spectrum assignment policy.However,a large portion of the assigned spectrum is used sporadically and geographical variations in the utilization of assigned spectrum ranges from 15%to 85%with a high variance in time.The limited available spectrum and the inefficiency in the spectrum usage neces-sitate a new communication paradigm to exploit the existing wireless spectrum opportunistically.This new networking paradigm is referred to as NeXt Generation (xG)Networks as well as Dynamic Spectrum Access (DSA)and cognitive radio networks.The term xG networks is used throughout the paper.The novel functionalities and current research chal-lenges of the xG networks are explained in detail.More specifically,a brief overview of the cognitive radio technology is provided and the xG network architecture is introduced.Moreover,the xG network functions such as spectrum manage-ment,spectrum mobility and spectrum sharing are explained in detail.The influence of these functions on the performance of the upper layer protocols such as routing and transport are investigated and open research issues in these areas are also outlined.Finally,the cross-layer design challenges in xG networks are discussed.Ó2006Elsevier B.V.All rights reserved.Keywords:Next generation networks;Dynamic spectrum access networks;Cognitive radio networks;Spectrum sensing;Spectrum management;Spectrum mobility;Spectrum sharing1.IntroductionToday’s wireless networks are regulated by a fixed spectrum assignment policy,i.e.the spectrumis regulated by governmental agencies and is assigned to license holders or services on a long term basis for large geographical regions.In addition,a large portion of the assigned spectrum is used spo-radically as illustrated in Fig.1,where the signal strength distribution over a large portion of the wireless spectrum is shown.The spectrum usage is concentrated on certain portions of the spectrum while a significant amount of the spectrum remains unutilized.According to Federal Communications1389-1286/$-see front matter Ó2006Elsevier B.V.All rights reserved.doi:10.1016/net.2006.05.001*Corresponding author.Tel.:+14048945141;fax:+14048947883.E-mail addresses:ian@ (I.F.Akyildiz),wylee@ (W.-Y.Lee),mcvuran@ (M.C.Vuran),shanti@ (S.Mohanty).Computer Networks 50(2006)2127–2159/locate/comnetCommission (FCC)[20],temporal and geographical variations in the utilization of the assigned spectrum range from 15%to 85%.Although the fixed spec-trum assignment policy generally served well in the past,there is a dramatic increase in the access to the limited spectrum for mobile services in the recent years.This increase is straining the effective-ness of the traditional spectrum policies.The limited available spectrum and the inefficiency in the spectrum usage necessitate a new communi-cation paradigm to exploit the existing wireless spec-trum opportunistically [3].Dynamic spectrum access is proposed to solve these current spectrum ineffi-ciency problems.DARPAs approach on Dynamic Spectrum Access network,the so-called NeXt Gener-ation (xG)program aims to implement the policy based intelligent radios known as cognitive radios [67,68].NeXt Generation (xG)communication net-works,also known as Dynamic Spectrum Access Networks (DSANs)as well as cognitive radio net-works,will provide high bandwidth to mobile users via heterogeneous wireless architectures and dynamic spectrum access techniques.The inefficient usage of the existing spectrum can be improved through opportunistic access to the licensed bands without interfering with the existing users.xG net-works,however,impose several research challenges due to the broad range of available spectrum as well as diverse Quality-of-Service (QoS)requirements of applications.These heterogeneities must be cap-tured and handled dynamically as mobile terminals roam between wireless architectures and along the available spectrum pool.The key enabling technology of xG networks is the cognitive radio.Cognitive radio techniques pro-vide the capability to use or share the spectrum inan opportunistic manner.Dynamic spectrum access techniques allow the cognitive radio to operate in the best available channel .More specifically,the cog-nitive radio technology will enable the users to (1)determine which portions of the spectrum is avail-able and detect the presence of licensed users when a user operates in a licensed band (spectrum sens-ing ),(2)select the best available channel (spectrum management ),(3)coordinate access to this channel with other users (spectrum sharing ),and (4)vacate the channel when a licensed user is detected (spec-trum mobility ).Once a cognitive radio supports the capability to select the best available channel,the next challenge is to make the network protocols adaptive to the available spectrum.Hence,new functionalities are required in an xG network to support this adaptivity.In summary,the main functions for cognitive radios in xG networks can be summarized as follows:•Spectrum sensing :Detecting unused spectrum and sharing the spectrum without harmful inter-ference with other users.•Spectrum management :Capturing the best avail-able spectrum to meet user communication requirements.•Spectrum mobility :Maintaining seamless com-munication requirements during the transition to better spectrum.•Spectrum sharing :Providing the fair spectrum scheduling method among coexisting xG users.These functionalities of xG networks enable spec-trum-aware communication protocols.However,the dynamic use of the spectrum causes adverse effects on the performance of conventional commu-nication protocols,which were developed consider-ing a fixed frequency band for communication.So far,networking in xG networks is an unexplored topic.In this paper,we also capture the intrinsic challenges for networking in xG networks and lay out guidelines for further research in this area.More specifically,we overview the recent proposals for spectrum sharing and routing in xG networks as well as the challenges for transport protocols.More-over,the effect of cross-layer design is addressed for communication in xG networks.The xG network communication components and their interactions are illustrated in Fig.2.It is evident from the significant number of interactions that the xG network functionalities necessitate a cross-layer design approach.More specifically,spec-Fig.1.Spectrum utilization.2128I.F.Akyildiz et al./Computer Networks 50(2006)2127–2159trum sensing and spectrum sharing cooperate with each other to enhance spectrum efficiency.In spec-trum management and spectrum mobility functions, application,transport,routing,medium access and physical layer functionalities are carried out in a cooperative way,considering the dynamic nature of the underlying spectrum.This paper presents a definition,functions and current research challenges of the xG networks.In Section2,we provide a brief overview of the cognitive radio technology.The xG network architectures on licensed band and on unlicensed band are presented in Section3.In Section4,we explain the existing work and challenges in spectrum sensing.Then,we describe the xG network functionalities:spectrum management,spectrum mobility and spectrum shar-ing in Sections5,6,and7,respectively.In Section8, we investigate how xG features influence the perfor-mance of the upper layer protocols,i.e.,routing and transport.Finally,we explain how xG functions can be implemented in a cross-layer approach in Sec-tion9and conclude the paper in Section10.2.Cognitive radioCognitive radio technology is the key technology that enables an xG network to use spectrum in a dynamic manner.The term,cognitive radio,can formally be defined as follows[20]:A‘‘Cognitive Radio’’is a radio that can change its transmitter parameters based on interaction with the environment in which it operates.From this definition,two main characteristics of the cognitive radio can be defined[27,58]:•Cognitive capability:Cognitive capability refers to the ability of the radio technology to capture or sense the information from its radio environ-ment.This capability cannot simply be realized by monitoring the power in some frequency band of interest but more sophisticated techniques are required in order to capture the temporal and spatial variations in the radio environment and avoid interference to other users.Through this capability,the portions of the spectrum that are unused at a specific time or location can be identified.Consequently,the best spectrum and appropriate operating parameters can be selected.•Reconfigurability:The cognitive capability pro-vides spectrum awareness whereas reconfigu-rability enables the radio to be dynamically programmed according to the radio environ-ment.More specifically,the cognitive radio can be programmed to transmit and receive on a variety of frequencies and to use different trans-mission access technologies supported by its hardware design[34].I.F.Akyildiz et al./Computer Networks50(2006)2127–21592129The cognitive radio concept wasfirst introduced in[45,46],where the main focus was on the radio knowledge representation language(RKRL)and how the cognitive radio can enhance theflexibility of personal wireless services.The cognitive radio is regarded as a small part of the physical world to use and provide information from environment.The ultimate objective of the cognitive radio is to obtain the best available spectrum through cogni-tive capability and reconfigurability as described before.Since most of the spectrum is already assigned,the most important challenge is to share the licensed spectrum without interfering with the transmission of other licensed users as illustrated in Fig.3.The cognitive radio enables the usage of temporally unused spectrum,which is referred to as spectrum hole or white space[27].If this band is further used by a licensed user,the cognitive radio moves to another spectrum hole or stays in the same band,altering its transmission power level or mod-ulation scheme to avoid interference as shown in Fig.3.In the following subsections,we describe the physical architecture,cognitive functions and recon-figurability capabilities of the cognitive radio technology.2.1.Physical architecture of the cognitive radioA generic architecture of a cognitive radio trans-ceiver is shown in Fig.4(a)[34].The main compo-nents of a cognitive radio transceiver are the radio front-end and the baseband processing unit.Each component can be reconfigured via a controlbus2130I.F.Akyildiz et al./Computer Networks50(2006)2127–2159to adapt to the time-varying RF environment.In the RF front-end,the received signal is amplified, mixed and A/D converted.In the baseband process-ing unit,the signal is modulated/demodulated and encoded/decoded.The baseband processing unit of a cognitive radio is essentially similar to existing transceivers.However,the novelty of the cognitive radio is the RF front-end.Hence,next,we focus on the RF front-end of the cognitive radios.The novel characteristic of cognitive radio trans-ceiver is a wideband sensing capability of the RF front-end.This function is mainly related to RF hardware technologies such as wideband antenna, power amplifier,and adaptivefilter.RF hardware for the cognitive radio should be capable of tuning to any part of a large range of frequency spectrum. Also such spectrum sensing enables real-time measurements of spectrum information from radio environment.Generally,a wideband front-end archi-tecture for the cognitive radio has the following struc-ture as shown in Fig.4(b)[12].The components of a cognitive radio RF front-end are as follows:•RFfilter:The RFfilter selects the desired band by bandpassfiltering the received RF signal.•Low noise amplifier(LNA):The LNA amplifies the desired signal while simultaneously minimiz-ing noise component.•Mixer:In the mixer,the received signal is mixed with locally generated RF frequency and con-verted to the baseband or the intermediate fre-quency(IF).•Voltage-controlled oscillator(VCO):The VCO generates a signal at a specific frequency for a given voltage to mix with the incoming signal.This procedure converts the incoming signal to baseband or an intermediate frequency.•Phase locked loop(PLL):The PLL ensures thata signal is locked on a specific frequency and canalso be used to generate precise frequencies with fine resolution.•Channel selectionfilter:The channel selectionfil-ter is used to select the desired channel and to reject the adjacent channels.There are two types of channel selectionfilters[52].The direct conver-sion receiver uses a low-passfilter for the channel selection.On the other hand,the superheterodyne receiver adopts a bandpassfilter.•Automatic gain control(AGC):The AGC main-tains the gain or output power level of an ampli-fier constant over a wide range of input signal levels.In this architecture,a wideband signal is received through the RF front-end,sampled by the high speed analog-to-digital(A/D)converter,and mea-surements are performed for the detection of the licensed user signal.However,there exist some limi-tations on developing the cognitive radio front-end. The wideband RF antenna receives signals from var-ious transmitters operating at different power levels, bandwidths,and locations.As a result,the RF front-end should have the capability to detect a weak sig-nal in a large dynamic range.However,this capabil-ity requires a multi-GHz speed A/D converter with high resolution,which might be infeasible[12,13].The requirement of a multi-GHz speed A/D con-verter necessitates the dynamic range of the signal to be reduced before A/D conversion.This reduction can be achieved byfiltering strong signals.Since strong signals can be located anywhere in the wide spectrum range,tunable notchfilters are required for the reduction[12].Another approach is to use multiple antennas such that signalfiltering is per-formed in the spatial domain rather than in the fre-quency domain.Multiple antennas can receive signals selectively using beamforming techniques [13].As explained previously,the key challenge of the physical architecture of the cognitive radio is an accurate detection of weak signals of licensed users over a wide spectrum range.Hence,the implementa-tion of RF wideband front-end and A/D converter are critical issues in xG networks.2.2.Cognitive capabilityThe cognitive capability of a cognitive radio enables real time interaction with its environment to determine appropriate communication parame-ters and adapt to the dynamic radio environment. The tasks required for adaptive operation in open spectrum are shown in Fig.5[27,46,58],which is referred to as the cognitive cycle.In this section, we provide an overview of the three main steps of the cognitive cycle:spectrum sensing,spectrum anal-ysis,and spectrum decision.The details and the related work of these functions are described in Sec-tions4and5.The steps of the cognitive cycle as shown in Fig.5 are as follows:1.Spectrum sensing:A cognitive radio monitors theavailable spectrum bands,captures their infor-mation,and then detects the spectrum holes.I.F.Akyildiz et al./Computer Networks50(2006)2127–215921312.Spectrum analysis:The characteristics of thespectrum holes that are detected through spec-trum sensing are estimated.3.Spectrum decision:A cognitive radio determinesthe data rate,the transmission mode,and the bandwidth of the transmission.Then,the appro-priate spectrum band is chosen according to the spectrum characteristics and user requirements.Once the operating spectrum band is determined, the communication can be performed over this spec-trum band.However,since the radio environment changes over time and space,the cognitive radio should keep track of the changes of the radio envi-ronment.If the current spectrum band in use becomes unavailable,the spectrum mobility function that will be explained in Section6,is performed to provide a seamless transmission.Any environmen-tal change during the transmission such as primary user appearance,user movement,or traffic variation can trigger this adjustment.2.3.ReconfigurabilityReconfigurability is the capability of adjusting operating parameters for the transmission on the fly without any modifications on the hardware com-ponents.This capability enables the cognitive radio to adapt easily to the dynamic radio environment. There are several reconfigurable parameters that can be incorporated into the cognitive radio[20] as explained below:•Operating frequency:A cognitive radio is capable of changing the operating frequency.Based on the information about the radio environment,the most suitable operating frequency can be determined and the communication can be dynamically performed on this appropriate oper-ating frequency.•Modulation:A cognitive radio should reconfigure the modulation scheme adaptive to the user requirements and channel conditions.For exam-ple,in the case of delay sensitive applications,the data rate is more important than the error rate.Thus,the modulation scheme that enables the higher spectral efficiency should be selected.Con-versely,the loss-sensitive applications focus on the error rate,which necessitate modulation schemes with low bit error rate.•Transmission power:Transmission power can be reconfigured within the power constraints.Power control enables dynamic transmission power con-figuration within the permissible power limit.If higher power operation is not necessary,the cog-nitive radio reduces the transmitter power to a lower level to allow more users to share the spec-trum and to decrease the interference.•Communication technology:A cognitive radio can also be used to provide interoperability among different communication systems.The transmission parameters of a cognitive radio can be reconfigured not only at the beginning of a transmission but also during the transmission. According to the spectrum characteristics,these parameters can be reconfigured such that the cognitive radio is switched to a different spectrum band,the transmitter and receiver parameters are reconfigured and the appropriate communication protocol parameters and modulation schemes are used.3.The xG network architectureExisting wireless network architectures employ heterogeneity in terms of both spectrum policies and communication technologies[3].Moreover, some portion of the wireless spectrum is already licensed to different purposes while some bands remain unlicensed.For the development of commu-nication protocols,a clear description of the xG net-work architecture is essential.In this section,the xG network architecture is presented such that all pos-sible scenarios are considered.The components of the xG network architecture, as shown in Fig.6,can be classified in two groups as the primary network and the xG network.Thebasic 2132I.F.Akyildiz et al./Computer Networks50(2006)2127–2159elements of the primary and the xG network are defined as follows:•Primary network :An existing network infrastruc-ture is generally referred to as the primary net-work,which has an exclusive right to a certain spectrum band.Examples include the common cellular and TV broadcast networks.The compo-nents of the primary network are as follows:–Primary user :Primary user (or licensed user)has a license to operate in a certain spectrum band.This access can only be controlled by the primary base-station and should not be affected by the operations of any other unli-censed users.Primary users do not need any modification or additional functions for coex-istence with xG base-stations and xG users.–Primary base-station :Primary base-station (or licensed base-station)is a fixed infrastructure network component which has a spectrum license such as base-station transceiver system (BTS)in a cellular system.In principle,the primary base-station does not have any xG capability for sharing spectrum with xG users.However,the primary base-station may be requested to have both legacy and xG proto-cols for the primary network access of xG users,which is explained below.•xG network :xG network (or cognitive radio net-work,Dynamic Spectrum Access network,sec-ondary network,unlicensed network)does not have license to operate in a desired band.Hence,the spectrum access is allowed only in an oppor-tunistic manner.xG networks can be deployed both as an infrastructure network and an ad hoc network as shown in Fig.6.The components of an xG network are as follows:–xG user :xG user (or unlicensed user,cognitive radio user,secondary user)has no spectrum license.Hence,additional functionalities are required to share the licensed spectrum band.–xG base-station :xG base-station (or unli-censed base-station,secondary base-station)is a fixed infrastructure component with xG capabilities.xG base-station provides single hop connection to xG users without spectrum access license.Through this connection,an xG user can access other networks.–Spectrum broker :Spectrum broker (or sched-uling server)is a central network entity that plays a role in sharing the spectrum resources among different xG networks.SpectrumFig.6.xG network architecture.I.F.Akyildiz et al./Computer Networks 50(2006)2127–21592133broker can be connected to each network andcan serve as a spectrum information managerto enable coexistence of multiple xG networks[10,32,70].The reference xG network architecture is shown in Fig.6,which consists of different types of net-works:a primary network,an infrastructure based xG network,and an ad-hoc xG network.xG net-works are operated under the mixed spectrum envi-ronment that consists of both licensed and unlicensed bands.Also,xG users can either commu-nicate with each other in a multihop manner oraccess the base-station.Thus,in xG networks,there are three different access types as explained next:•xG network access:xG users can access their own xG base-station both on licensed and unlicensed spectrum bands.•xG ad hoc access:xG users can communicate with other xG users through ad hoc connection on both licensed and unlicensed spectrum bands.•Primary network access:The xG users can also access the primary base-station through the licensed band.According to the reference architecture shown in Fig.6,various functionalities are required to sup-port the heterogeneity in xG networks.In Section 3.1,we describe the xG network functions to sup-port the heterogeneity of the network environment. Moreover,in Sections3.2and3.3,we overview xG network applications and existing architectures.3.1.xG network functionsAs explained before,xG network can operate in both licensed and unlicensed bands.Hence,the func-tionalities required for xG networks vary according to whether the spectrum is licensed or unlicensed. Accordingly,in this section,we classify the xG net-work operations as xG network on licensed band and xG network on unlicensed band.The xG network functions are explained in the following sections according to this classification.3.1.1.xG network on licensed bandAs shown in Fig.1,there exist temporally unused spectrum holes in the licensed spectrum band. Hence,xG networks can be deployed to exploit these spectrum holes through cognitive communi-cation techniques.This architecture is depicted in Fig.7,where the xG network coexists with the pri-mary network at the same location and on the same spectrum band.There are various challenges for xG networks on licensed band due to the existence of the primary users.Although the main purpose of the xG net-work is to determine the best available spectrum, xG functions in the licensed band are mainly aimed at the detection of the presence of primary users. The channel capacity of the spectrum holes depends on the interference at the nearby primary users. Thus,the interference avoidance with primary users is the most important issue in this architecture. Furthermore,if primary users appear in the spec-trum band occupied by xG users,xG users should vacate the current spectrum band and move to the new available spectrum immediately,called spec-trum handoff.3.1.2.xG network on unlicensed bandOpen spectrum policy that began in the industrial scientific and medical(ISM)band has caused an impressive variety of important technologies and innovative uses.However,due to the interference among multiple heterogeneous networks,the spec-trum efficiency of ISM band is decreasing.Ulti-mately,the capacity of open spectrum access,and the quality of service they can offer,depend on the degree to which a radio can be designed to allocate spectrum efficiently.xG networks can be designed for operation on unlicensed bands such that the efficiency is improved in this portion of the spectrum.The xG network on unlicensed band architecture is illustrated in Fig.8.Since there are no license holders,all network entities have the same right to access the spectrum bands.Multiple xG networks coexist in the same area and communicate using the same por-tion of the spectrum.Intelligent spectrumsharing Fig.7.xG network on licensed band.2134I.F.Akyildiz et al./Computer Networks50(2006)2127–2159algorithms can improve the efficiency of spectrum usage and support high QoS.In this architecture,xG users focus on detecting the transmissions of other xG users.Unlike the licensed band operations,the spectrum handoffis not triggered by the appearance of other primary users.However,since all xG users have the same right to access the spectrum,xG users should compete with each other for the same unlicensed band.Thus,sophisticated spectrum sharing methods among xG users are required in this architecture.If multiple xG network operators reside in the same unlicensed band,fair spectrum sharing among these networks is also required.3.2.xG network applicationsxG networks can be applied to the following cases:Leased network :The primary network can pro-vide a leased network by allowing opportunistic access to its licensed spectrum with the agreement with a third party without sacrificing the service quality of the primary user [56].For example,the primary network can lease its spectrum access right to a mobile virtual network operator (MVNO).Also the primary network can provide its spectrum access rights to a regional community for the pur-pose of broadband access.Cognitive mesh network :Wireless mesh networks are emerging as a cost-effective technology for pro-viding broadband connectivity [4].However,as the network density increases and the applications require higher throughput,mesh networks require higher capacity to meet the requirements of the applications.Since the cognitive radio technology enables the access to larger amount of spectrum,xG networks can be used for mesh networks thatwill be deployed in dense urban areas with the pos-sibility of significant contention [38].For example,the coverage area of xG networks can be increased when a meshed wireless backbone network of infra-structure links is established based on cognitive access points (CAPs)and fixed cognitive relay nodes (CRNs)[6].The capacity of a CAP,connected via a wired broadband access to the Internet,is distrib-uted into a large area with the help of a fixed CRN.xG networks have the ability to add tempo-rary or permanent spectrum to the infrastructure links used for relaying in case of high traffic load.Emergency network :Public safety and emergency networks are another area in which xG networks can be implemented [41].In the case of natural disasters,which may temporarily disable or destroy existing communication infrastructure,emergency personnel working in the disaster areas need to establish emer-gency networks .Since emergency networks deal with the critical information,reliable communication should be guaranteed with minimum latency.In addition,emergency communication requires a sig-nificant amount of radio spectrum for handling huge volume of traffic including voice,video and data.xG networks can enable the usage of the existing spec-trum without the need for an infrastructure and by maintaining communication priority and response time.Military network :One of the most interesting potential applications of an xG network is in a mil-itary radio environment [47].xG networks can enable the military radios choose arbitrary,interme-diate frequency (IF)bandwidth,modulation schemes,and coding schemes,adapting to the vari-able radio environment of battlefield.Also military networks have a strong need for security and pro-tection of the communication in hostile environ-ment.xG networks could allow military personnel to perform spectrum handoffto find secure spec-trum band for themselves and their allies.3.3.Existing architecturesThe main representative examples of the xG net-work architectures are described in this section.Spectrum pooling :In [61,62],a centralized spectrum pooling architecture is proposed based on orthogonal frequency division multiplexing (OFDM).This architecture consists of an xG base-station and mobile xG users.OFDM has the advantage of feeding certain sub-carriers with zeros resulting in no emission of radio power ontheFig.8.xG network on unlicensed band.I.F.Akyildiz et al./Computer Networks 50(2006)2127–21592135。

分层多个端元光谱混合分析

分层多个端元光谱混合分析

Hierarchical Multiple Endmember Spectral Mixture Analysis (MESMA)of hyperspectral imagery for urban environmentsJonas Franke a ,⁎,Dar A.Roberts b ,1,Kerry Halligan c ,2,Gunter Menz d ,3aUniversity of Bonn,Center for Remote Sensing of Land Surfaces (ZFL),Walter-Flex-Strasse 3,D-53113Bonn,GermanybUniversity of California,Santa Barbara,Department of Geography,1832Ellison Hall,UC Santa Barbara,Santa Barbara,CA 93106-4060,United States cSanborn Map Company,610SW Broadway,Suite 310,Portland,OR 97205,United States dUniversity of Bonn,Department of Geography,Remote Sensing Research Group (RSRG),Meckenheimer Allee 166,53115Bonn,Germanya b s t r a c ta r t i c l e i n f o Article history:Received 15December 2008Received in revised form 27March 2009Accepted 28March 2009Keywords:Multiple Endmember Spectral Mixture Analysis (MESMA)Hyperspectral Mapper (HyMap)UrbanLand cover HyperspectralImaging spectrometry Endmember selection Hierarchical classi ficationRemote sensing has considerable potential for providing accurate,up-to-date information in urban areas.Urban remote sensing is complicated,however,by very high spectral and spatial complexity.In this paper,Multiple Endmember Spectral Mixture Analysis (MESMA)was applied to map urban land cover using HyMap data acquired over the city of Bonn,Germany.MESMA is well suited for urban environments because it allows the number and types of endmembers to vary on a per-pixel basis,which allows controlling the large spectral variability in these environments.We employed a hierarchical approach,in which MESMA was applied to map four levels of complexity ranging from the simplest level consisting of only two classes,impervious and pervious,to 20classes that differentiated material composition and plant species.Lower levels of complexity,mapped at the highest accuracies,were used to constrain spatially models at higher levels of complexity,reducing spectral confusion between materials.A spectral library containing 1521endmembers was created from the HyMap data.Three endmember selection procedures,Endmember Average RMS (EAR),Minimum Average Spectral Angle (MASA)and Count Based Endmember Selection (COB),were used to identify the most representative endmembers for each level of bined two-,three-or four-endmember models –depending on the hierarchical level –were applied,and the highest endmember fractions were used to assign a land cover class.Classi fication accuracies of 97.2%were achieved for the two lowest complexity levels,consisting of impervious and pervious classes,and a four class map consisting of vegetation,bare soil,water and built-up.At the next level of complexity,consisting of seven classes including trees,grass,bare soil,river,lakes/basins,road and roof/building,classi fication accuracies remained high at 81.7%with most classes mapped above 85%accuracy.At the highest level,consisting of 20land cover classes,a 75.9%classi fication accuracy was achieved.The ability of MESMA to incorporate within-class spectral variability,combined with a hierarchical approach that uses spatial information from one level to constrain model selection at a higher level of complexity was shown to be particularly well suited for urban environments.©2009Elsevier Inc.All rights reserved.1.IntroductionCurrent and accurate information about urban composition is critical for urban planning,disaster response and improved environ-mental management.Remote sensing has the potential to provide the necessary information about urban infrastructure,socio-economic attributes and environmental conditions at a diversity of scales (Jensen &Cowen,1999;Small,2001).As a result,an increasing num-ber of studies have focused on remote sensing of urban environments and their land cover (e.g.,Ben-Dor et al.,2001,Herold &Roberts,2005;Powell et al.,2007;Small,2001,2003,2005).Urban remote sensing is complicated by the complexity of urban environments which includes considerable spectral diversity at very fine spatial scales (Powell et al.,2007;Small,2001,2005).Spectrally,urban areas are complicated by the presence of numerous spectrally unique materials,and the presence of spectrally ambiguous materials,such as dark-shingles and asphalt roads (Herold et al.,2003a ).Other factors further complicate analysis,including non-Lambertian beha-vior of urban materials that leads to high within-class spectral variability (Herold et al.,2004),3-dimensional heterogeneity of urban areas (Herold et al.,2003a )and material aging,which causes spectral changes (Herold &Roberts,2005).As a result,urban environments exhibit a high dimensionality in spectral space (Small,2001,2005).Remote Sensing of Environment 113(2009)1712–1723⁎Corresponding author.Tel.:+49228734023;fax:+49228736857.E-mail addresses:jonasfranke@uni-bonn.de (J.Franke),dar@(D.A.Roberts),halligan.kerry@ (K.Halligan),g.menz@uni-bonn.de (G.Menz).1Tel.:+18058932276;fax:+18058933146.2Tel.:+15032288708;fax:+15032288751.3Tel.:+49228739700;fax:+49228739702.0034-4257/$–see front matter ©2009Elsevier Inc.All rights reserved.doi:10.1016/j.rse.2009.03.018Contents lists available at ScienceDirectRemote Sensing of Environmentj o u r n a l h o m e p a g e :w ww.e l s ev i e r.c o m /l o c a t e /rs eSome studies,therefore,have focused on the spectral separability of urban materials for land cover mapping,using sensors such as the Airborne Visible Near Infrared Imaging Spectrometer (AVIRIS)(Hepner et al.,1998;Hepner &Chen,2001;Herold et al.,2004)or the Compact Airborne Spectrographic Imager (CASI)(Ben-Dor et al.,2001).Herold et al.(2004)concluded that the current knowledge about urban materials and their separation based on spectral characteristics is inadequate.In addition to the large diversity of urban materials,improved knowledge about spatio-temporal changes in urban vegetation cover is important to determine and model urban environmental conditions (Ridd,1995;Small,2001).Limitations of remote sensing techniques for urban mapping in the spatial dimension,as observed in previous studies (Powell et al.,2007;Small,2001,2005),resulting from coarse spatial resolutions of sensors such as Landsat Enhanced Thematic Mapper (ETM+),can potentially be overcome by novel analysis techniques.For urban applications,a spatial resolution of at least 5m is required,in order to adequately capture urban structures (Small,2003).However,due to the high spatial variability of urban structure with spectrally heterogeneous materials close to each other,mixed pixels are still common in images covering urban areas (Powell et al.,2007).Spectral mixture analyses (SMA)can potentially solve some of the problems associated with the spectral heterogeneity of urban surfaces (Small,2001).However,simple mixing models,which consist of a single set of endmembers applied to an entire scene,are potentially not appropriate for urban areas because they cannot account for considerable within-class variability (Rashed et al.,2003;Roessner et al.,2001).To overcome this limitation,Song (2005)proposed Bayesian spectral mixture analysis (BSMA),in which endmembers are not treated as constants.Multiple Endmember Spectral Mixture Analysis (MESMA;Roberts et al.,1998)represents an alternative approach,in which the number and types of endmembers are allowed to vary on a per-pixel basis,thereby accounting for urban spectral heterogeneity.Forexample,Fig.1.Location of the study area of Bonn in Germany.Shaded relief data set with the river Rhine given in blue,combined with a swath of true-color HyMap data acquired on May 28,2005indicating the landscapestructure.Fig.2.Hierarchical structure of the Multiple Endmember Spectral Mixture Analysis giving 4levels of different complexity.1713J.Franke et al./Remote Sensing of Environment 113(2009)1712–1723MESMA has been used to map vegetation,impervious and soil frac-tions in a number of urban areas,including the city of Manaus,Brazil (Powell et al.,2007)and Los Angeles (Rashed et al.,2003).Object-oriented approaches also have considerable potential for mapping urban areas at high accuracy (Herold et al.,2003b ).Benediktsson et al.(2005)also discuss the importance of spatial and spectral information describing a morphological method for a joint spatial/spectral classi fier for urban environments.Roessner et al.(2001)incorporated spatial context to improve endmember selection to iteratively unmix hyperspectral data covering an urban area.In this study,we propose hierarchical MESMA,in which different models are used for different levels of complexity,and in which highly accurate models at the lowest level of complexity are used to spatially constrain models at higher levels of complexity.We tested this approach using HyMap data acquired over the city of Bonn,Germany.Our objectives were thereby to (i)demonstrate the potential of MESMA for mapping urban land cover at various levels of detail ranging from imperviousness to material discrimination,(ii)determine materials or land covers with a high degree of spectral confusion (iii)incorporate spatial constraints into MESMA to improve classi fication accuracies and thus (iv)to prove this hierarchical MESMA approach for urban environments.2.Methodology 2.1.Study area and dataThis study focused on an urban transect in the region of Bonn,Germany.The city of Bonn is located in Western Germany along the river Rhine,approximately 30km southeast of the city of Cologne.Bonn represents a typical large German city with a popu-lation of 320,000.The city dates from Roman times and contains a medieval city center with large 19th and 20th century urban exten-sions.Bonn is situated in generally level terrain at an average elevation of 55m above sea level.Although the city includes a few taller buildings (e.g.,the 165m Posttower)it is dominated by 3–5stories commercial and residential structures as well as 1and 2floor family houses,principally located in residential areas that are concentrically arranged around the town center.The Bonn area is characterized by highly diverse land cover types and complex urban material compositions.Fig.1shows the Bonn study site location and an airborne Hyperspectral Mapper (HyMap)subscene acquired on 28/05/2005covering a representative NW –SE cross-section of the city,emphasiz-ing the highly diverse land use regime present within the study area.A number of urban land covers are shown:residential areas (with differing densities and socio-economic structures),mixed-use areas,and commercial and industrial districts.Non-urban land cover types include water bodies,green vegetation and bare soils.The speci fic urban materials present in the Bonn region result from centuries of urban development combined with local traditional in fluences.The diversity of building materials found in the area includes asphalt and cobblestone road surfaces,as well as roofs composed of slate,metal,glass,gravel,bitumen,plastics and a number of types and colors of composite shingles.Old houses in the historic town center typically have shingle roofs composed of dark slate from the nearby Rhenish Slate Mountains.Predominant vegetation types in the studyareaFig.3.Work flow of the hierarchical MESMA.1714J.Franke et al./Remote Sensing of Environment 113(2009)1712–1723include European chestnut,linden and other mixed deciduous trees, as well as riparian areas that are mostly covered with grass.Airborne Hyperspectral Mapper(HyMap)data were acquired on 28/05/2005.The HyMap-system is a whisk-broom scanner with an ax-head double mirror which acquires126spectral bands with a bandwidth of16nm(in the VIS and NIR region)in the spectral range between450nm and2480nm.HyMap is typically operated at altitudes between2000and5000m agl and has an instantaneous field of view(IFOV)of2.5mr along track and2.0mr across track by a field of view(FOV)of±30°(Cocks et al.,1998).The chosen configura-tion resulted in a nominal ground IFOV of4.0m.HyVista Corp.and the German Aerospace Center(DLR)carried out the pre-processing of the HyMap data.The validation of the atmospheric corrections using ATCOR4(Richter and Schlaepfer,2002)was performed against in-situ measurements obtained with an ASD FieldSpec Pro spectroradiometer (Analytical Spectral Devices Inc.,Boulder,Co,USA).During further pre-processing,26bands showing high levels of noise,especially those near the water absorption features at1400and1900nm,were removed from the data to improve overall image quality.2.2.Endmember selectionThe quality of SMA results,in general,is highly dependent on the availability of representative endmembers(Tompkins et al.,1997). Endmembers used in SMA can either be derived from image pixels or from a spectral library that contains reference endmembers derived from measurements taken in thefield,laboratory,from radiative trans-fer models(Sonnentag et al.,2007)or derived from other images.The advantage of image endmembers is that they can be collected at the same scale as the image and are easier to associate with image features (Rashed et al.,2003).In addition,image endmembers have the advantage of being canopy-scale spectra,incorporating the effects of non-linear mixing which may be present,especially in vegetation surfaces,at the leaf-scale.Several approaches for the selection of optimal/representative endmembers from images have been devel-oped.One example is the Pixel Purity Index(PPI),described by Boardman et al.(1995).Recently,several endmember selection approaches have been proposed for MESMA,in which a spectral library is analyzed to identify the subset of spectra that are most representative of a specific class,and least confused with members outside that class. Examples include Count-based Endmember Selection(CoB)(Roberts et al.,2003),Endmember Average Root Mean Square Error(EAR) (Dennison&Roberts,2003)and the Minimum Average Spectral Angle (MASA)(Dennison et al.,2004).In contrast to the PPI,these approaches require knowledge about the spectral characteristics to assign each spectrum to a particular ing CoB,optimal endmembers are identified as those spectra within a spectral library that model the greatest number of spectra within a specific class while meeting other selection criteria,including fractional constraints(i.e.fractions are required to be between0and100%),andfit constraints based on RMSE and spectral residuals(Roberts et al.,2003).CoB provides several quality parameters that allow for a ranking of representative endmembers.The in-CoB parameter reports the total number of spectra modelled within the class,whereas the out-CoB reports the total number of models outside of the class.A high in-CoB with a low out-CoB represents an excellent endmember choice.EAR calculates the average RMSE produced by a spectrum when it is used to model all other members of its class.The optimum spectrum produces the lowest averageRMSE.Fig.4.Merged classification result of level1as derived from two-and three-endmember model MESMA,showing impervious and pervious surfaces in the area of Bonn with an overall classification accuracy of97.2%.1715J.Franke et al./Remote Sensing of Environment113(2009)1712–1723The MASA calculates the average spectral angle between a reference spectrum (candidate model)and all other spectra within the same class.The best endmember is selected as the one that produces the lowest average spectral angle (Dennison et al.,2004).In this study,a comprehensive survey of the area of Bonn was conducted,in order to identify representative surface types and to find locations suitable for developing a spectral library from the image.A Differential Global Position System (Trimble GeoExplorerXT with a Trimble GeoBeacon receiver)was used to collect reference data with a high spatial accuracy.Three to five Regions of interest (ROI),consisting of around 30pixels per ROI were selected in the HyMap image for each endmember type.A random sample of all ROIs was extracted,to develop a spectral library consisting of 1521spectra with 1384pixels set aside for validation of the MESMA results.The spectral library was developed using ‘VIPER-tools ’,an ENVI add on ( ),and all relevant metadata added.For each hierarchical MESMA level,separate spectral libraries were created containing optimal/most representative endmembers with low probability of confusion with other endmember classes,characterized by low EAR or MASA values or high in-Cob values.These metrics were calculated with the ‘VIPER-tools ’and endmembers were consecutively sorted by their metric values.The spectra selection should be done on a case by case basis,depending on the users'objective.A number of different strategies may be employed.In our study,most of our selections were from the top candidates of each metric.2.3.Hierarchical Multiple Endmember Spectral Mixture Analysis (MESMA)Linear SMA assumes that a mixed spectrum can be modeled as a linear combination of pure spectra,known as endmembers (Adams et al.,1986).Under ideal conditions,the most accurate fractional estimates can be achieved using the minimum number of end-members required to account for spectral variability within a mixed pixel (Sabol et al.,1992).Fractional errors occur either when too few endmembers are used,resulting in spectral information that cannot be accounted for by the existing endmembers,or too many,in which case minor departures between measured and modelled spectra are often assigned to an endmember that is used in the model,but not actually present (Roberts et al.,1998).Urban environments are particularly dif ficult for a simple mixture model because a single endmember cannot account for considerable spectral variation within a class.In contrast,MESMA can account for within-class variability and thus is likely to be more suitable for urban remote sensing.Typically,MESMA is applied by running numerous models for a pixel and selecting one model based on its ability to meet selection criteria and produce the best fit,typically a minimum RMS (Painter et al.,1998).Selection criteria include fractional constraints (minimum and maximum fraction constrains),maximum allowable shade fraction,RMSE constraints and a residual constraint set to remove any model that exceeds a threshold over a range of ing this approach,pixel-scale limits in spectral dimensionality are recognized while also accounting for considerable spectral variability within a scene.The constraints for the models are variably selectable,whereby MESMA can also be run in an unconstrained mode.Roberts et al.(1998)found that with the flexible MESMA approach,a majority of pixels in an image could be modeled with only two-endmember models.Powell and Roberts (2008)found that natural landscapes in Brazil required only two-endmember models,disturbed regions required three-and urban areas required four-endmembermodels.Fig.5.Classi fication result of level 2displays the land cover classes ‘Vegetation ’,‘Built-up ’,‘Bare soil ’and ‘Water body ’in the urban area of Bonn with an overall classi fication accuracy of 97.2%.1716J.Franke et al./Remote Sensing of Environment 113(2009)1712–1723In this study,a hierarchically structured MESMA was realized,whereby two-,three-or four-endmember models were uniquely tailored for four different levels of complexity (Fig.2).At the lowest level only two broad classes were mapped,impervious and pervious.At level 2,four land cover classes were mapped;at the third level,the land cover classes were subdivided into up to two categories,such as grass and trees,roads vs.roof materials and lake vs.river.At the highest level of complexity,20classes of speci fic materials or tree species were mapped (Fig.2).The basic idea of hierarchical MESMA was to use the result from one level as a spatial constraint for the next level,taking advantage of higher classi fication accuracies achieved at lower levels of complexity to improve accuracies at higher levels.For example,models for level 2were constrained by results from level one,where vegetation,bare soil and water bodies are restricted to areas mapped as pervious,and built-up is restricted to the impervious class.In this case,the results for level 1and level 2are the same for impervious and built-up.MESMAs of levels 1and 2were run unconstrained and as spatial constraints only those masks were used,in cases when classi fication accuracy was greater than 85%at a lower level.MESMAs of level 3were run partially constrained (minimum and maximum allowable fractions were constrained).By using spatial information at one level for the analysis of the next level,high classi fication accuracies achieved at the lower levels should therefore improve accuracies at higher levels.The work flow of this hierarchical MESMA is displayed in Fig.3.For MESMA of the imperviousness at level 1,30two-endmember models were used,whereby the first spectral library contained 30representative endmembers (15representing pervious and 15representing impervious surfaces)determined by EAR,MASA and Cob and the second spectral library contained shade.In addition,a three-endmember model was applied with 15pervious endmembers in the first library,15impervious endmembers in the second and shade in the third spectral library resulting in 225models.The RMSE change between the results of the two-and three-endmember model results was calculated afterwards.In cases where the RMSE did not change more than 0.1between both results,the result of the two-endmember model was chosen.The three-endmember model was only selected where a third endmember was needed to drop the RMSE (RMSE change N 0.1).Both MESMA classi fication results (classes were assigned to the highest endmember fraction)were merged to the two final classes impervious and pervious.MESMA of the second level discriminated 4different land cover classes by the use of 30two-endmember models similar to level 1.MESMA was run in an unconstrained mode,whereas the analysis was spatially constrained,because the land cover classes vegetation,bare soil and water body were only analyzed for pervious areas as identi fied at the first level.Due to the fact that spatial constraints were used,the land cover class ‘Built-up ’at level 2is the same as the impervious class from level 1.Over most parts of the region RMSE values at level 2were low,which indicates that this level could be successfully modeled with only two-endmember models.MESMA at the third level determined dominant surface types including trees,grass,bare soils,rivers,lakes/basins,roads and roofs/buildings.First,69two-endmember models were used,applied to each land cover mask as derived from the results of level 2(excepting bare soil).MESMA was run in a partially constrained mode (minimum and maximum allowable fraction values were constrained).A four-endmember model was run additionally in order to improve discrimi-nation between vegetation types as well as roads androofs/buildings.Fig.6.Classi fication result of level 3as derived from two-and four-endmember model MESMA that gives the dominant surface types trees,grass,bare soils,rivers,lakes/basins,roads and roofs/buildings with an overall classi fication accuracy of 81.7%.1717J.Franke et al./Remote Sensing of Environment 113(2009)1712–1723The so called V–I–S model was proposed by Ridd(1995),which divides urban areas into three physically based classes,vegetation, impervious surfaces and soil.In the present study,thefirst spectral library contained12vegetation endmembers,the second library contained14endmembers representing impervious surfaces,the third library contained3soil endmembers and the fourth spectral library contained shade resulting in504models.Classes were assigned to the highest endmember fractions.The RMSE was used as a constraint for each class.Due to a significant confusion between soil and red-shingle roofs,a maximum RMSE of0.025was applied as a constraint for the soil class.All pixels with dominant soil fractions and RMSE values greater than0.1,were assigned to the roof class.If no model met all these constraints,the pixel was left unmodeled/ unclassified.The classification result of level3was merged from the results of the two-endmember and four-endmember models.MESMA of level4discriminated20different materials or vegetation species as shown in Fig.2.Due to the fact that the classes ‘River’,‘Lakes/Basins’and‘Bare soil’were alreadyfinal classes at level 2or3with classification accuracies higher than85%,the information for these classes was taken from those levels,respectively.212two-endmember models were used for the MESMA applied at level4. MESMA was run in an unconstrained mode similar to level2.48two-endmember models were used for all vegetated pixels as identified at level3and164two-endmember models were used for all pixels not classified as water,vegetated or bare soil at level3.Results of the discrimination of vegetation species and urban materials as obtained from MESMAs of level4were merged withfinal classes already obtained at levels2and3.Minor classification errors were present in some buildings,represented by individual pixels of a different class imbedded within an otherwise compact building object.To reduce this type of error,the building classes were smoothed using a3⁎3 majorityfilter to remove single-pixel errors within buildings.All other classes remained unfiltered.Classification results of each hierarchical level were compared to the random sample of validation pixels,in order to assess classification accuracy,whereby the total sample size of1384pixel splits–depending on the hierarchical level–to thefinal classes.3.Results and discussionFigs.4–7show the classification results of the4hierarchical levels. The MESMA results of levels1to3(Figs.4–6)reveal the spatial structure of the urban area of Bonn with mostly impervious areas in the central business district(CBD)in the northern part of the scene close to the Rhine River and in the strongly industrial area in the northwest.Residential areas,in contrast,are clearly distinguishable by a higher percentage of vegetated areas.In the southern part of the scene,the densely vegetated recreation area‘Rheinaue’is obvious, which also acts as a naturalfloodplain for the Rhine River,which occasionallyfloods.Observing the result of hierarchical MESMA level 4(Fig.7),a detailed insight into the urban spatial structure is given. Considering object sizes and roof materials,the industrial area in the northwest is clearly distinguishable from the CBD.In addition,larger objects with different roof materials are obvious in the southern part of the scene as well,that indicate the area of governmental buildings, museums,headquarters of organizations and companies etc.The spatial distribution of vegetation species also gives detailed informa-tion about urban environmental condition.The V–I–S modelas Fig.7.Classification result of level4that shows different materials and vegetation species in20classes of the urban area of Bonn with an overall classification accuracy of75.9%. 1718J.Franke et al./Remote Sensing of Environment113(2009)1712–1723described above is displayed in Fig.8,which shows the fractions of vegetation,impervious surfaces and soil as a false-color RGB as derived by the four-endmember models at level 3.A mask considering maximum allowable fractions and RMSE constraints was thereby applied.Error matrices were calculated using ground reference data for each hierarchical level (Tables 1–4).The overall classi fication accuracies were 97.2%for level 1(kappa coef ficient of 0.94)and level 2(kappa coef ficient of 0.95),81.7%for level 3(kappa coef ficient of 0.75)and 75.9%(kappa coef ficient of 0.74)for hierarchical level 4.Only minor confusion occurred at level 1between the classes impervious and pervious (Table 1).The high accuracies of 95.4%and 100%respectively could be on the one hand achieved due to the selection of highly representative endmembers using EAR,MASA and CoB and on the other hand due to the fact that results of the two-and three-endmember models were merged,depending on the RMSE change.The endmember selection approaches selected the following repre-sentative endmembers:for pervious surfaces,10vegetation end-members,2water and 3soil endmembers (Fig.9a);for impervioussurfaces,3road endmembers and 12roof endmembers (Fig.9b).Using the RMSE change between the results of the two-and three-endmember models was very suitable for identifying pixels that required a third endmember to drop the RMSE and improved ac-curacies.In particular,the models cardboard roof/shade as well as grass/shade in the two-endmember MESMA had the highest frequency within these pixels with high RMSE change.At level 2,4different land cover classes were discriminated by 30two-endmember models,whose endmembers were speci fically selected by the mentioned endmember selection procedures.Some confusion was evident for bare soil,in which 23.4%of the cases were mis-classi fied as built-up area (Table 2).The class ‘Bare soil ’had a comparatively low sample size in the validation data (47)since it already is a final class at level 2(total sample size splits down to the final classes).Almost no confusion occurred for the other classes at level 2,whereby the classes ‘Vegetation ’and ‘Water body ’were almost perfectly classi fied with accuracies of 99.8%and100%.Fig.8.False-color image giving the fractions of vegetation,impervious surfaces and soil as derived from MESMA by using four-endmember models (V –I –S model)at level 3.Black pixels give areas where the maximum allowable fractions or the RMSE exceed the set constraints.Table 1Error matrix of the level 1classi fication result and ground truth data gives the percentage of classi fication accuracy and mis fit.Classi fied/ground truth Pervious Impervious Sample size 513871Pervious 100.0 4.6Impervious0.095.4Table 2Error matrix of the level 2classi fication result and ground truth data gives the percentage of classi fication accuracy and mis fit.Classi fied/ground truth Vegetation Bare soil Built-up Water body Sample size 3984787168Vegetation 99.70.00.90.0Bare soil 0.076.6 2.20.0Built-up 0.323.496.90.0Water body0.00.00.0100.01719J.Franke et al./Remote Sensing of Environment 113(2009)1712–1723。

曹佳简历 - 中国毒理学会

曹佳简历 - 中国毒理学会

曹佳简历曹佳,男,47岁,教授、博士生导师,国家杰出青年基金获得者,现任第三军医大学军事预防医学院院长。

多次赴德国、香港等地工作。

主持了国家杰出青年基金、国家自然基金重点项目、国际重大合作项目、国家科技部攻关项目等重大项目。

获国家科技进步三等奖1项,获军队科技进步二等奖3项,获国家教学成果二等奖和军队教学成果一等奖。

主编、副主编专著各1部,主编教材1部,共发表论文200余篇,其中国外SCI刊物38余篇,被SCI引用250余次。

主要从事遗传和分子毒理学、环境毒理学和军事毒理学等方面的研究工作, 提出了环境损害可诱导微核由间期细胞核直接形成的新观点,并开展了微核自动化检测的研究;领衔重庆市6所科研院所,历经10年开展了“重庆市及三峡库区水污染与人群健康”的系列研究,其研究结果引起党中央领导的高度重视,并推动了国家饮用水标准修改和水中有机污染物的治理;组织和参与了中、日、韩三国环境膳食因素与直结肠癌关系的国际重大合作项目的研究。

担任国际环境诱变剂协会理事、亚洲环境诱变剂协会副主席、国务院学位委员会公共卫生与预防医学学科评议组成员、中国环境诱变剂学会副理事长、中华预防医学会理事、中国毒理学会理事、重庆市预防医学会副会长、重庆市环境科学会理事长等学术职务。

近年来发表的英文论著1.Chuan Xu , Ji-An Chen , Zhi-Qun Qiu, Qing Zhao, Lan Yang, Weiqun Shu, Jia Cao.Ovotoxicity and gene expression alterations in female Sprague-Dawley rats following combined oral exposure of benzo[a]pyrene and di-(2-ethylhexyl) phthalate.Birth Defects Research(Part B),2009;83: (on line:doi:10.1002/bdrb.20219)2.Ying Li, Daikun Li, Lin Hui, Jia He, Jia Cao. Community Health Needs Assessment withPrecede-proceed Model: a mixed methods study.BMC Health Services Research.2009,9(181)(on line:doi:10.1186/472-6963/9/181)3.Yongjiang Zhang, Weidong Wang, Lu Li, Yuming Huang, Jia Cao. Eggshell membrane-basedsolid-phase extraction combined with hydride generation atomic fluorescence spectrometry for trace arsenic(V) in environmental water samples. Talanta, 2009; (on line: doi:10.1016/j.talanta.2009.10.006)4.Lin Ao, Jin-yi Liu, Li-hong Gao, Ran Hu, Zhi-jun Fang, Zhi-xiong Zhen, Ming-hui Huang,Meng-su Yang and Jia Cao. Comparision of gene expression profiles in transformed foci ofBALB/c 3T3 cells exposed to distinct tumor promoting chemicals. Toxic. in vitro. 2009;23(on line: doi:10.1016/j.tiv.2009.10.006)5.Huan Yang, Yanhong Zhou, Ziyuan Zhou, Jinyi Liu, Xiaoyan Yuan, Ketaro Matsuo, ToshiroTakezaki, Kazuo Tajima, Jia Cao. A novel polymorphism rs1329149 of CYP2E1 and a known polymorphism rs671 of ALDH2 of alcohol metabolizing enzymes are associated with colorectal cancer in a southwestern Chinese population. Cancer Epidemiol Biomarkers Prev 2009;18(9):2522-25276.Wen-bin Liu, Jin-yi Liu, Lin Ao, Zi-yuan Zhou, Yan-hong Zhou, Zhi-hong Cui, Huan Yang,and Jia Cao.Dynamic changes in DNA methylation during multi-step rat lung carcinogenesis induced by 3-methylcholanthrene and diethylnitrosamine. Toxicology Letters.2009;189:5-13 7..Zhihong Cui, Jingyi Liu, Peng Li, Bo Cao, Caihong Luo, Jia Cao. Bio-monitoring TheDetoxifying Activity (CYP1A1 induction) in The Yangtze River and Jialing River in Chongqing City(China) .J Toxicol Environ Health.2009; 72:782-7888.Yafei Li, Hui Lin, Mingfu Ma, Lianbing Li, Min Cai, Niya Zhou,Xue Han, Huaqiong Bao,Liping Huang, Caizhong Zhu,Chuanhai Li, Hao Yang, Zhonglin Rao, Ying Xiang, Zhihong Cui,Lin Ao, Ziyuan Zhou, Hongyan Xiong, and Jia Cao. Semen quality of 1346 healthy men, results from the Chongqing area of southwest China. Human Reproduction,. 2009;24(2):459-4699.Bo Cao, Qian Ren, Zhihong Cui, Peng Li , Jia Cao. Evaluation of reproductive toxicity in ratscaused by organic extracts of Jialing River water of Chongqing, China. Environmental Toxicology and Pharmacology.2009; ;27:357-36510.Xiaoyan Yuan, Gangqiao Zhou, Yun Zhai,Weimin Xie,Ying Cui, Jia Cao, Lianteng Zhi,Hongxing Zhang, Hao,Yang, Xiaoai Zhang, Wei Qiu, Yong Peng, Xiumei Zhang, Ling Yu, Xia Xia, Fuchu He. Lack of Association between the Functional Polymorphisms in the Estrogen-metabolizing Genes and Risk of Hepatocellular Carcinoma Running Head: Cancer Epidemiol Biomarkers Prev 2008;17(12):1-711.Kai-Fu Tang , Hong Ren ,Jia Cao , Gui-Li Zeng , Jing Xie , Min Chen , Lu Wang , Cai-XiaHe. Decreased Dicer expression elicits DNA damage and up-regulation of MICA and MICB.JCB .2008;182(2):233-23912.SixiongWang, Yafei Li , Hongyan Xiong, Jia Cao. A broad-spectrum inhibitory peptideagainst staphylococcal enterotoxin..superantigen SEA, SEB and SEC. Immunology Letters 2008;(121): 167–17213.An Hui, Liu Jinyi, Y ang Lujun, Liu Shengxue, Zhou Y anhong, Y ang Huan, Jia Qingjun, Cui Zhihong,Jia Cao. Acute and Subchronic Toxicity of Hydroxylammonium Nitrate in Wistar Rats. Journal of Medical Colleges of PLA. 2008;23:137-14714.Lin Ao, Sheng-Xue Liu, Meng-su Yang, Chi-Chun Fong, Hui An, Jia Cao. Acrylamideinduced molecular mutation spectra at HPRT locus in human promyelocytic leukemia HL-60 and NB4 cell lines. Mutagenesis. 2008;23(4):309-31515.Sheng-Xue Liu, Lin Ao, Bing Du, Yanhong Zhou, Jian Yuan, Yang Bai, Ziyuan Zhao, JiaCao. HPRT Mutation in Lymphochocytes from 1,3-Butadiene- Exposed Workers.Environmental Health Perspective. 2008; 116(2): 203-20816.Lin Ao, Jinyi Liu, Lihong Gao, Shengxue Liu, Mengsu Yang, Minghui Huang and Jia Cao.Differential expression of genes associated with cell proliferation and apoptosis induced by okadaic acid during the transformation process of BALB/c 3T3 cells. Toxic. in vitro. 2008;22(1): 116-12717.Ji-An Chen, Jiaohua Luo, Zhiqun Qiu, Chuan Xu, Yujing Huang, Yi-he Jin, Normitsu Saito,Toshihiro Yoshida, Keiichi Ozawa, Jia Cao, Weiqun Shu. PCDDs/PCDFs and PCBs in water samples from the Three Gorge Reservoir. Chemosphere. 2008;70:1545-155118.Chuan Xu, Wei-Qun Shu, Zhi-Qun Qiu, Ji-An Chen, Qing Zhao, Jia Cao. Protective effects ofgreen tea polyphenols against subacute hepatotoxicity induced by microcystin-LR in mice.Environmental Toxicology and Pharmacology. 2007;24(2):140-14819.Jin pan, Yuming Huang, Weiqun Shu, Jia Cao. Effect of pH on the characteristics ofpotassium permanganate-luminol CL reaction in the presence of trace aluminum(Ⅲ) and its analytical qpplication. Talanta 2007; 71: 1861-186620.Ji-an Chen, Xiang Li, Jun Li, Jia Cao. Zhiqun Qiu, Qing Zhao, Chuan Xu, Weiqun Shu.Degradation of environmental endocrine disruptor di-2-ethylhexyl phthalate by a newly discovered bacterium, Microbacterium sp.strain CQ0110Y.Appl Microbiol Biotechnol.2007;74:676-68221.ZHAO Xian-ying, SHU Wei-qun, Jia Cao and LIU Yi-min. Radioactivity measurements ofsewerage in 4 hospitals from Chongqing, China. Journal of Medical Colleges of PLA.2007;22(1): 65-6622.Wei-Dong Wang, Yu-Ming Huang, Wei-Qun Shu, Jia Cao. Multiwalled carbon nanotubes asadsorbents of solid-phase extraction for determination of polycyclic aromatic hydrocarbons in environmental waters coupled with high-performance liquid chromatography. Joural of Chromatography A. 2007;1173:27-3623.Shangwei Hu, Weibing Liu, Yuming Huang, Weiqun Shu, and Jia Cao. An assay forinorganic mercury(II) based on its postcatalytic enhancement effect on the potassium permanganate-luminol system. Luminescence, 2006, 21: 245-250.24.Li Ping SUN, De Zhi LI, Zhi Mou LIU, Lu Jun YANG, Jin Yi LIU, Jia CAO. Analysis ofMicronuclei in the Transferrin-receptor Positive Reticulocytes from Peripheral Blood of Nasopharyngeal by a Single-laser Flow cytometer. J.Radiat Res., 2005;46:25-35。

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2 Hξ Ψ(ξ ) ≡ A(ξ )∂ξ Ψ(ξ ) + B (ξ )∂ξ Ψ(ξ ) + C (ξ )Ψ(ξ ) = 0, 2
(3)
(4)
(5)
1 where A(ξ ) ≡ −(D (ξ ))2 , B (ξ ) = − 2 ∂ξ (D (ξ ))2 , and C (ξ ) = V (ξ ) − E . In the previous work
Extension of a Spectral Bounding Method to Complex Rotated Hamiltonians, with Application to p2 − ix3
C. R. Handy and Xiao Qian Wang
Department of Physics & Center for Theoretical Studies of Physical Systems, Clark Atlanta
arXiv:math-ph/0105019v1 15 May 2001
University, Atlanta, Georgia 30314 (Received February 7, 2008)
Abstract
We show that a recently developed method for generating bounds for the discrete energy states of the non-hermitian −ix3 potential (Handy 2001) is applicable to complex rotated versions of the Hamiltonian. This has important implications for extension of the method in the analysis of resonant states, Regge poles, and general bound states in the complex plane (Bender and Boettcher (1998)).
and its generalization as outlined in Sec. II. This includes generating bounds to Regge poles (which first motivated Handy’s formalism), to be presented in a forthcoming work (Handy and Msezane (2001)). Other problems include the calculation of resonant states as well as bound states in the complex plane as discussed by Bender and Boettcher (1998), and elaborated upon by others cited in the more recent work of Mezincescu (2001). However, the realization of these depends on understanding the complex rotation extension of Handy’s original formulation. Indeed, such concerns introduce a new class of EMM problems not encountered before, and thereby motivate the present work. Our basic objective is to extend the S (x)-EMM formulation to complex rotated transformations of the Hamiltonian p2 − ix3 . We are particularly interested in the effectiveness of such an analysis. Indeed, once the correct moment equation is developed, one finds that the EMM approach works very well in this case, and yields the anticipated result, as detailed in Sec. III. In the following sections we present a more general derivation of the S (x) equation, and apply the resulting formalism to the rotated −ix3 Hamiltonian.
3
II. GENERALIZED S -EQUATION
Consider the (normalized) Schrodinger equation
2 − ∂x Ψ(x) + V (x)Ψ(x) = E Ψ(x),
(2)
for complex energy, E , and complex potential, V (x). Assume that the (complex) bound state, Ψ(x), lies within the complex-x plane, along some infinite contour, C . Let x(ξ ) define a differentiable map from a subset of the real axis to the entire complex contour: x(ξ ) : ξ ∈ ℜ → C . The transformed Schrodinger equation is − D (ξ )∂ξ Ψ(ξ ) + V (ξ )Ψ(ξ ) = E Ψ(ξ ), where D (ξ ) ≡ (∂ξ x)−1 , and V (ξ ) ≡ V (x(ξ )). Alternatively, we may rewrite the above as
1
I. INTRODUCTION
In a recent work, Handy (2001) presented a novel quantization formalism for generating converging bounds to the (complex) discrete spectra of non-hermitian, one dimensional, potentials. The first part of this analysis makes use of the fact that the modulus squared of the wavefunction, S (x) ≡ |Ψ(x)|2 , for x ∈ ℜ, and any (complex) potential function, V (x), satisfies a fourth order, linear differential equation:
Σ2 (ξБайду номын сангаас) ≡ Ψ′∗ (ξ )Hξ Ψ(ξ ) + c.c. = 0,
(7)
∆1 (ξ ) ≡ Ψ∗ (ξ )Hξ Ψ(ξ ) − c.c. = 0. and ∆2 (ξ ) ≡ Ψ′∗ (ξ )Hξ Ψ(ξ ) − c.c. = 0. 4
′ (3) 1 VR − ER (2) 1 S S +4 S (4) − VI − EI VI − EI VI − EI ′ ′ ER VR ′ (1) −4 S + 4(VI − EI ) + 2 S = 0, (1) VI − EI VI − EI

VR + 4 VI − EI

VR ′ +2 VI − EI
n where S (n) (x) ≡ ∂x S (x), and E = ER + iEI , etc.
The bounded (L2 ) and nonnegative solutions of this differential equation uniquely correspond to the physical states. For the case of rational fraction potentials, there is an associated (recursive) moment equation, whose solutions are parameterized by the energy, E . Constraining these through the appropriate Moment Problem conditions for nonnegative functions (Shohat and Tamarkin (1963)), generates rapidly converging bounds on the discrete state energies. This entire procedure is referred to as the Eigenvalue Moment Method (EMM) and was originally developed by Handy and Bessis (1985) and Handy et al (1988a,b). An important theoretical and algorithmic component is the use of linear programming (Chvatal (1983)). The EMM procedure is not solely a numerical implementation of some very important mathematical theorems. It is possible to implement it algebraically, deriving bounding formulas for the eigenenergies (Handy and Bessis (1985)). Furthermore, it does not depend on the hermitian or non-hermitian structure of the Hamiltonian. What is important is that the desired solutions be the unique nonnegative and bounded solutions of the differential system being investigated. In this sense, it provides an important example of how positivity can be used as a quantization procedure. Many important problems can be analyzed through the application of EMM on Eq.(1), 2
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