Application of Classical Least Squares, Principal Component Regression and Partial Least Squares Methods for Simultaneous Spectrophotometric Determination of Rutin and Ascorbic Acid in Their Combined Dosage Form
نویسندگان
چکیده
This presented paper deals with application of three multivariate calibration methods methods for simultaneous spectrophotometric determination of two active substances in combined pharmaceutical formulation, composed of rutin (RU) and ascorbic acid (AA). The multivariate methods are classical least squares (CLS), principal component regression (PCR) and partial least squares (PLS). The results showed the high performance of three methods for the analysis of the binary mixture. The optimum assay conditions were established and the proposed methods were successfully applied for the assay of the two drugs in an independent validation set and combined pharmaceutical tablets with excellent recoveries. No interference was observed from common pharmaceutical additives. [Hany W. Darwish, Ahmed H. Bakheit, Ali S. Abdelhameed and Ramzi A. Mothana. Application of Classical Least Squares, Principal Component Regression and Partial Least Squares Methods for Simultaneous Spectrophotometric Determination of Rutin and Ascorbic Acid in Their Combined Dosage Form. Life Sci J 2013; 10(4): 1680-1686]. (ISSN: 1097-8135). http://www.lifesciencesite.com. 222
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