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. SalimEgypt
Mansoura, 35516
New Damietta, 34518
Mona E. El Sharkasy
Egypt
Mansoura, 35516
M. Walash
Egypt
Mansoura, 35516
F. Belal
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).