缬沙坦胶囊辅料含量近红外光谱模型传递研究

缬沙坦胶囊辅料含量近红外光谱模型传递研究

韩君;郝远;方洪壮

【期刊名称】《云南民族大学学报（自然科学版）》

【年(卷),期】2017(026)005

【摘要】In order to realize the share among different instruments for the determination of the contents of the excipient of valsartan capsules with the application of the model of near-Infrared spectroscopy,and improve its effective utilization,two algorithms of piecewise direct standardization (PDS) and canonical correlation analysis (CCA) are applied to the study on the transfer between different near-infrared instruments.The results show that after transferring the modeling in the main instruments through PDS algorithm,the Root-Mean-Square Error of Prediction(RMSEP) validated and collected from the instruments are 2.41,1.95,0.99,and 0.53 respectively,and through CCA algorithm,the RMSEP are 0.78,1.19,0.78,and 0.43 respectively.For two FT-NIR Spectrometers,the application of PDS and CCA algorithms can achieve the transfer of the modeling,in which the effect of CCA is better than PDS.The results of the study have much significance to the wide application of the rapid analysis model of near-infrared spectroscopy for the contents of the excipient.%为了建立缬沙坦胶囊辅料含量近红外光谱分析模型能在不同仪器间实现共享,提高模型的有效利用.采用分段直接校正(PDS)和典型相关分析(CCA)法进行了近红外仪器间模型传递的研究.研究表明:在主机建立的模型经PDS算法传递后,子机验证集的预测均方根误差(RMSEP)分

别为2.41、1.95、0.99、0.53,经CCA算法传递后的RMSEP分别为0.78、1.19、0.78、0.43.对于2台傅里叶变换型近红外光谱仪,采用PDS和CCA方法可成功实现模型传递,其中CCA作用效果优于PDS,该研究结果对于辅料含量近红外快速分

析模型的广泛应用具有重要意义.

【总页数】4页(P365-368)

【作者】韩君;郝远;方洪壮

【作者单位】佳木斯大学药学院,黑龙江佳木斯154007;佳木斯大学药学院,黑龙江

佳木斯154007;佳木斯大学药学院,黑龙江佳木斯154007

【正文语种】中文

【中图分类】R284.1;R917

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