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GENETIC ALGORITHM WITH MODEL-UPDATING BASED PLS REGRESSION FOR THE SPECTROPHOTOMETRIC DETERMINATION OF CLOPIDOGREL, ATORVASTATIN, AND ASPIRIN IN PRESENCE OF ITS DEGRADATION PRODUCT

Abstract

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.

About the Authors

M. M. Salim
Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Mansoura University; Pharmaceutical Chemistry Department, Faculty of Pharmacy, Horus University-Egypt
Egypt

Mansoura, 35516

New Damietta, 34518



Mona E. El Sharkasy
Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Mansoura University
Egypt
Mansoura, 35516


M. Walash
Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Mansoura University
Egypt
Mansoura, 35516


F. Belal
Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Mansoura University
Egypt
Mansoura, 35516


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Review

For citations:


Salim M.M., El Sharkasy M.E., Walash M., Belal F. GENETIC ALGORITHM WITH MODEL-UPDATING BASED PLS REGRESSION FOR THE SPECTROPHOTOMETRIC DETERMINATION OF CLOPIDOGREL, ATORVASTATIN, AND ASPIRIN IN PRESENCE OF ITS DEGRADATION PRODUCT. Zhurnal Prikladnoii Spektroskopii. 2020;87(3):510(1)-510(11).

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ISSN 0514-7506 (Print)