Tawakkol, Shereen MEl-Zeiny, Mohamed BHemdan, A2019-11-112019-11-112017Cited References in Web of Science Core Collection1386-1425https://doi.org/10.1016/j.saa.2016.10.055https://www.ncbi.nlm.nih.gov/pubmed/27837737Accession Number: WOS:000390502900119Three chemometric methods namely, concentration residual augmented classical least squares (CRACLS), spectral residual augmented classical least squares (SRACLS) and partial least squares (PLS) were applied for the simultaneous quantitative determination of Cinnarizine and Dimenhydrinate in their binary mixtures. All techniques were applied with and without variable selection using genetic algorithm (GA) resulting in six models (CRACLS, GA-CRACLS, SRACLS, GA-SRACLS, PLS, GA-PLS). These models were applied for the simultaneous determination of the drugs in their laboratory prepared mixtures and pharmaceutical dosage form via handling their UV spectral data. It was found that GA based models are simpler and more robust than those built with the full spectral data. The proposed models were found to be simple, fast and require no preliminary separation steps; so they can be used for the routine analysis of this binary mixture in quality control laboratories. (C) 2016 Elsevier B.V. All rights reserved.enCinnarizineDimenhydrinateGenetic algorithmSRACLSCRACLSPLSArticlehttps://doi.org/10.1016/j.saa.2016.10.055