ABSTRACT

The aim of this research work was to develop a simple, accurate, sensitive and validated Ultra Violet (UV) spectrophotometric assay using multivariate regression method for the analysis of Saroglitazar. This multivariate calibration technique was based on equations constructed using linear regression analysis using the correlation between absorbance and concentration at five selected equidistant wavelengths. Saroglitazar had a maximum absorbance of 294 nm. The findings were statistically analysed for significance. A linear plot in the concentration range of 0.8-24?g/mL, with a regression co-efficient of 0.999 was obtained. The % RSD for intra-day and Inter-day precision were 0.539 and 0.452, respectively. The assay was determined and found to be 99.22% - 101.88% % w/w. Keywords: Saroglitazar, antidiabetic agent, UV spectrophotometry, Multivariate calibration, Assay, ICH guidelines
Publication date: 01/09/2023

https://ijbpas.com/pdf/2023/September/MS_IJBPAS_2023_7405.pdf

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https://doi.org/10.31032/IJBPAS/2023/12.9.7405