Simultaneous Estimation of Atorvastatin and Aspirin in Bulk and Capsule Dosage Form by Chemometric Assisted Spectrophotometric Methods

• Published in: Journal of young pharmacists Vol. 8; no. 4; pp. 424 - 429
• Main Authors: Palur, Keerthisikha, Koganti, Bharathi, Archakam, Sreenivasa Charan, Chenchugari, Sridhar, Nagireddy, Bhavana, Devabhaktuni, Mahesh Babu, Sankranthi, Meenakshi
• Format: Journal Article
• Language: English
• Published: Bangalore InPharm 01-10-2016
• Subjects: Drug dosages; Methods; Regression analysis
• ISSN: 0975-1483; 0975-1505
• DOI: 10.5530/jyp.2016.4.19

Objective: To develop the UV-spectrophotometric method and to apply the Chemometric designs to the developed method for the simultaneous estimation of Atorvastatin calcium (ATR) and Aspirin (ASP) in intact capsule dosage form without further extraction. Methods: The UV-Spectrophotometric method was developed by using methanol as solvent for both the drugs and the data generated from the absorption spectra was mined by two Chemometric designs which were based on the principles of linear regression analysis method (LRC) and Crammer’s matrix method (CRM). The wavelengths selected for linear regression analysis and crammers’matrix methods were 245 nm (wavelength of maximum absorption; λmax of ATR) and 275 nm (wavelength of maximum absorption; λmax of ASP). Results: Both the methods hold good linearity for ATR from 4-20 μg/ml and for ASP from 20-120 μg/ml with regression coefficient values of 0.9999 and 0.9991 respectively. The intraday and inter-day precision was found to be less than 2% RSD. The percentage recovery was in the range of 100.1-102.65 for Atorvastatin calcium and 99.95-101.15 for Aspirin by both the methods. The percentage assay was found to be 102.52 for ATR and 98.9 for ASP by LRC method and 101.62 for ATR and 98.84 for ASP by CRM method. Conclusion: The developed methods neither require any cumbersome separation procedure nor complex derivatization procedures for the analysis of the two drugs and moreover they are effective in minimizing the errors in analysis, simple and economical.