A novel spectrophotometric method is described, including multivariate regression/model updating, for the analysis of a quaternary mixture of clopidogrel, atorvastatin, aspirin, and its degradation product salicylic acid. The multivariate algorithms adopted are partial least squares with and without using a "Genetic Algorithm" for selecting variables. Upon updating both models, they could be effectively applied to determine the studied drugs in their pharmaceutical formulations. Similarly, clopidogrel and aspirin in their combined pharmaceutical preparations could be readily determined. Moreover, the proposed method could be extended to the determination of spiked salicylic acid as a minor component in aspirin raw material and dosage forms. The accuracy and precision of the proposed methods were approved through statistical comparison with the reported methods.
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Abstract of article is published in Zhurnal Prikladnoi Spektroskopii, Vol. 87, No. 3, p. 510, May–June, 2020.
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Salim, M.M., El Sharkasy, M.E., Walash, M. et al. Genetic Algorithm with Model-Updating-Based PLS Regression for the Spectrophotometric Determination of Clopidogrel, Atorvastatin, and Aspirin in the Presence of its Degradation Product. J Appl Spectrosc 87, 568–578 (2020). https://doi.org/10.1007/s10812-020-01040-z
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DOI: https://doi.org/10.1007/s10812-020-01040-z