Spectrophotometric Simultaneous Analysis of Two-Component Mixture by Bivariate and Multivariate Calibrations Using the Linear Regression Functions

Abstract

Spectral bivariate calibration (SBC) and spectral multivariate calibration (SMC) approaches based on the linear regression models were applied to the simultaneous determination of chlorzoxazone (CHL) and paracetamol (PAR) in tablets. SBC model was constructed by using four linear regression functions at two-wavelength set (220 and 244 nm) selecting two optimal wavelengths among 25 wavelength points. SMC model for cacti compound was obtained by using of 50 linear regression functions at 25 wavelength points in the spectral range 220-293 nm without selecting any optimal wavelength points. SBC and SMC was validated by using an independent validation set containing CHL-PAR combinations in the linear concentration range. The recovery results were found between 100.6% and 102.6% for both proposed appropaches, therefore we Conclude that a successuful method application was reported. The results obtained in this study clearly indicate that the proposed SBC and SMC approaches are suitable to be used for the quality control and routine analysis of the commercial tablets containing CHL and PAR compounds.