MULTIVARIATE CHEMOMETRIC MODELS APPLIED FOR SIMULTANEOUS DETERMINATION OF ROSUVASTATIN CALCIUM AND TELMISARTAN IN PURE FORM AND IN PHARMACEUTICAL PREPARATION; A COMPARATIVE STUDY
Nasr M. El-Abasawy, Khalid A. M. Attia, Ahmad A. Abo-serie, Ragab A. Said and Ahmed A. Almrasy*
ABSTRACT
Objective: Experimental design of different synthetic mixtures of rosuvastatin calcium and telmisartan in different ratios were constructed. The zero-order absorption spectra of these prepared mixtures have been recorded and used for building four multivariate chemometric methods for simultaneous determination of rosuvastatin calcium and telmisartan in their pure and pharmaceutical dosage forms. Methods: namely; partial least squares and artificial neural network have been applied for the quantitative analysis of the studied drugs. Results: the application of genetic algorithm to partial least squares and artificial neural network has been done and greatly increased the precision and predictive ability of the methods. Conclusion: The four methods have been successfully applied for determination of both drugs in their pharmaceutical preparation without any preliminary separation steps.
Keywords: Rosuvastatin calcium; telmisartan; chemometry; overlapped spectra.
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