| Literature DB >> 27837737 |
Shereen M Tawakkol1, Mohamed B El-Zeiny2, A Hemdan3.
Abstract
Three 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.Entities:
Keywords: CRACLS; Cinnarizine; Dimenhydrinate; Genetic algorithm; PLS; SRACLS
Mesh:
Substances:
Year: 2016 PMID: 27837737 DOI: 10.1016/j.saa.2016.10.055
Source DB: PubMed Journal: Spectrochim Acta A Mol Biomol Spectrosc ISSN: 1386-1425 Impact factor: 4.098