title: Least-Squares Regression and Spectral Residual Augmented Classical Least-Squares Chemometric Models for Stability-Indicating Analysis of Agomelatine and Its Degradation Products: A Comparative Study.
abstract: Two accurate, sensitive, and selective stability-indicating methods are developed and validated for simultaneous quantitative determination of agomelatine (AGM) and its forced degradation products (Deg I and Deg II), whether in pure forms or in pharmaceutical formulations. Partial least-squares regression (PLSR) and spectral residual augmented classical least-squares (SRACLS) are two chemometric models that are being subjected to a comparative study through handling UV spectral data in range (215-350 nm). For proper analysis, a three-factor, four-level experimental design was established, resulting in a training set consisting of 16 mixtures containing different ratios of interfering species. An independent test set consisting of eight mixtures was used to validate the prediction ability of the suggested models. The results presented indicate the ability of mentioned multivariate calibration models to analyze AGM, Deg I, and Deg II with high selectivity and accuracy. The analysis results of the pharmaceutical formulations were statistically compared to the reference HPLC method, with no significant differences observed regarding accuracy and precision. The SRACLS model gives comparable results to the PLSR model; however, it keeps the qualitative spectral information of the classical least-squares algorithm for analyzed components.
authors.affiliation: Beni-Suef University, Faculty of Pharmacy, Pharmaceutical Analytical Chemistry Department, Alshaheed Shehata Ahmad Hegazy St, 62514, Beni-Suef, Egypt.
authors.forename: Ibrahim A
authors.initials: IA
authors.lastname: Naguib
authors.affiliation: Beni-Suef University, Faculty of Pharmacy, Pharmaceutical Analytical Chemistry Department, Alshaheed Shehata Ahmad Hegazy St, 62514, Beni-Suef, Egypt.
authors.forename: Maha M
authors.initials: MM
authors.lastname: Abdelrahman
authors.affiliation: Cairo University, Faculty of Pharmacy, Pharmaceutical Analytical Chemistry Department, Kasr El-Aini St, 11562, Cairo, Egypt.
authors.forename: Mohamed R
authors.initials: MR
authors.lastname: El Ghobashy
authors.affiliation: Justice Ministry, Medico Legal Authority, 114 Bairam El Tounsy St, El Sayeda Zeinab 11341, Cairo, Egypt.
authors.forename: Nesma A
authors.initials: NA
authors.lastname: Ali
mesh_terms: D000081:Acetamides / Q000032:analysis* / Q000737:chemistry / Q000378:metabolism*; D000465:Algorithms; D002851:Chromatography, High Pressure Liquid; D016018:Least-Squares Analysis; D004364:Pharmaceutical Preparations / Q000737:chemistry*; D013056:Spectrophotometry, Ultraviolet; D009281:Naphthalenes
chemical_list: D000081:Acetamides; D004364:Pharmaceutical Preparations; C084711:agomelatine; D009281:Naphthalenes