Attia, Khalid A. M.Nassar, Mohammed W. I.El-Zeiny, Mohamed B.Serag, Ahmed2019-12-262019-12-262016Cited References in Web of Science Core Collection: 671386-1425https://doi.org/10.1016/j.saa.2015.11.024https://t.ly/q1XbnAccession Number: WOS:000369201200008Different chemometric models were applied for the quantitative analysis of amoxicillin (AMX), and flucloxacillin (FIX) in their binary mixtures, namely, partial least squares (PLS), spectral residual augmented classical least squares (SRACLS), concentration residual augmented classical least squares (CRACLS) and artificial neural networks (ANNs). All methods were applied with and without variable selection procedure (genetic algorithm GA). The methods were used for the quantitative analysis of the drugs in laboratory prepared mixtures and real market sample via handling the UV spectral data. Robust and simpler models were obtained by applying GA The proposed methods were found to be rapid, simple and required no preliminary separation steps. (c) 2015 Elsevier B.V. All rights reserved.enUniversity of Amoxicillin; Flucloxacillin; Genetic algorithm; SRACLS; CRACLS; ANNARTIFICIAL NEURAL-NETWORK; LEAST-SQUARES REGRESSION; SPECTROPHOTOMETRIC DETERMINATION; LIQUID-CHROMATOGRAPHY; VOLTAMMETRIC DETERMINATION; MULTIVARIATE CALIBRATION; HPLC METHOD; AMPICILLIN; PURE; ANTIBIOTICSArticlehttps://doi.org/10.1016/j.saa.2015.11.024