title: Simultaneous spectrophotometric determination of chlordiazepoxide and clidinium using multivariate calibration techniques.
abstract: 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.
authors.affiliation: Department of Drug and Food Control, Tehran University of Medical Sciences, Iran. khoshayand@tums.ac.ir
authors.forename: Mohammad Reza
authors.initials: MR
authors.lastname: Khoshayand
authors.forename: Hamid
authors.initials: H
authors.lastname: Abdollahi
authors.forename: Ali
authors.initials: A
authors.lastname: Moeini
authors.forename: Ali
authors.initials: A
authors.lastname: Shamsaie
authors.forename: Alireza
authors.initials: A
authors.lastname: Ghaffari
authors.forename: Sepideh
authors.initials: S
authors.lastname: Abbasian
mesh_terms: D002138:Calibration; D002707:Chlordiazepoxide / Q000032:analysis*; D016018:Least-Squares Analysis; D016571:Neural Networks, Computer; D025341:Principal Component Analysis; D011813:Quinuclidinyl Benzilate / Q000031:analogs & derivatives* / Q000032:analysis; D013053:Spectrophotometry / Q000379:methods; D013607:Tablets
chemical_list: D013607:Tablets; D011813:Quinuclidinyl Benzilate; D002707:Chlordiazepoxide; C054940:clidinium