title: Different approaches in Partial Least Squares and Artificial Neural Network models applied for the analysis of a ternary mixture of Amlodipine, Valsartan and Hydrochlorothiazide.
abstract: Different chemometric models were applied for the quantitative analysis of Amlodipine (AML), Valsartan (VAL) and Hydrochlorothiazide (HCT) in ternary mixture, namely, Partial Least Squares (PLS) as traditional chemometric model and Artificial Neural Networks (ANN) as advanced model. PLS and ANN were applied with and without variable selection procedure (Genetic Algorithm GA) and data compression procedure (Principal Component Analysis PCA). The chemometric methods applied are PLS-1, GA-PLS, ANN, GA-ANN and PCA-ANN. The methods were used for the quantitative analysis of the drugs in raw materials and pharmaceutical dosage form via handling the UV spectral data. A 3-factor 5-level experimental design was established resulting in 25 mixtures containing different ratios of the drugs. Fifteen mixtures were used as a calibration set and the other ten mixtures were used as validation set to validate the prediction ability of the suggested methods. The validity of the proposed methods was assessed using the standard addition technique.
authors.affiliation: Department of Analytical Chemistry, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, 11562 Cairo, Egypt.
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: saidmonem_84@yahoo.com.
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 / Q000008:administration & dosage / Q000032:analysis*; D000959:Antihypertensive Agents / Q000008:administration & dosage / Q000032:analysis*; D004304:Dosage Forms; D006852:Hydrochlorothiazide / Q000008:administration & dosage / Q000032:analysis*; D016018:Least-Squares Analysis; D016571:Neural Networks, Computer; D025341:Principal Component Analysis; D013056:Spectrophotometry, Ultraviolet; D013777:Tetrazoles / Q000008:administration & dosage / Q000032:analysis*; D014633:Valine / Q000008:administration & dosage / Q000031:analogs & derivatives* / Q000032:analysis; D000068756:Valsartan
chemical_list: D000959:Antihypertensive Agents; D004304:Dosage Forms; D013777:Tetrazoles; D006852:Hydrochlorothiazide; D017311:Amlodipine; D000068756:Valsartan; D014633:Valine
keywords: ANN; Amlodipine; GA; Hydrochlorothiazide; PLS; Valsartan