title: Advanced stability indicating chemometric methods for quantitation of amlodipine and atorvastatin in their quinary mixture with acidic degradation products.
abstract: Two advanced, accurate and precise chemometric methods are developed for the simultaneous determination of amlodipine besylate (AML) and atorvastatin calcium (ATV) in the presence of their acidic degradation products in tablet dosage forms. The first method was Partial Least Squares (PLS-1) and the second was Artificial Neural Networks (ANN). PLS was compared to ANN models with and without variable selection procedure (genetic algorithm (GA)). For proper analysis, a 5-factor 5-level experimental design was established resulting in 25 mixtures containing different ratios of the interfering species. Fifteen mixtures were used as calibration set and the other ten mixtures were used as validation set to validate the prediction ability of the suggested models. The proposed methods were successfully applied to the analysis of pharmaceutical tablets containing AML and ATV. The methods indicated the ability of the mentioned models to solve the highly overlapped spectra of the quinary mixture, yet using inexpensive and easy to handle instruments like the UV-VIS spectrophotometer.
authors.affiliation: Department of Analytical Chemistry, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, 11562 Cairo, Egypt; Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia.
authors.forename: Hany W
authors.initials: HW
authors.lastname: Darwish
authors.affiliation: Department of Analytical Chemistry, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, 11562 Cairo, Egypt. Electronic address: said.hassan@pharma.cu.edu.eg.
authors.forename: Said A
authors.initials: SA
authors.lastname: Hassan
authors.affiliation: Department of Analytical Chemistry, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, 11562 Cairo, Egypt.
authors.forename: Maissa Y
authors.initials: MY
authors.lastname: Salem
authors.affiliation: Department of Analytical Chemistry, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, 11562 Cairo, Egypt.
authors.forename: Badr A
authors.initials: BA
authors.lastname: El-Zeany
mesh_terms: D017311:Amlodipine / Q000032:analysis*; D000959:Antihypertensive Agents / Q000032:analysis*; D000069059:Atorvastatin / Q000032:analysis*; D004338:Drug Combinations; D004355:Drug Stability; D019161:Hydroxymethylglutaryl-CoA Reductase Inhibitors / Q000032:analysis*; D016018:Least-Squares Analysis; D016571:Neural Networks, Computer; D013053:Spectrophotometry / Q000379:methods; D013607:Tablets
chemical_list: D000959:Antihypertensive Agents; D004338:Drug Combinations; D019161:Hydroxymethylglutaryl-CoA Reductase Inhibitors; D013607:Tablets; D017311:Amlodipine; D000069059:Atorvastatin
keywords: Amlodipine; Artificial neural networks; Atorvastatin; Genetic algorithm; Partial Least Squares; Stability indicating