Simultaneous spectrophotometric determination of chlordiazepoxide and clidinium using multivariate calibration techniques.

Mohammad Reza Khoshayand, Hamid Abdollahi, Ali Moeini, Ali Shamsaie, Alireza Ghaffari, Sepideh Abbasian

文献索引：Drug Test. Anal. 2(9) , 430-5, (2010)

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摘要

Three multivariate modelling approaches including partial least squares regression (PLS), genetic algorithm-partial least squares regression (GA-PLS), and principal components-artificial neural network (PC-ANN) analysis were investigated for their application to the simultaneous determination of chlordiazepoxide and clidinium levels in pharmaceuticals. A set of synthetic mixtures of drugs in ethanol and 0.1 M HCL was made, and the prediction abilities of the aforementioned methods were examined using RSE% (relative standard error of the prediction). The PLS and PC-ANN methods were found to be comparable, and GA-PLS produced slightly better results. The predictive models that we built were successfully applied to simultaneously determine the levels of chlordiazepoxide and clidinium in coated tablets.Copyright © 2010 John Wiley & Sons, Ltd.