Simple Mathematical Resolution for Binary Mixture of Oxfendazole and Oxyclozanide in Bolus by Bivariate and Multivariate Calibrations Based on the Linear Regression Functions

Abstract

Two simple mathematical approaches were proposed for the simultaneous determination of oxfendazole (OXF) and oxyclozanide (OXY) in their synthetic binary mixtures and commercial veterinary formulation without requiring a priory separation step. One of these mathematical calibration techniques is called the bivariate calibration (BSC) based Oil four linear regression functions obtained at the wavelengths (230nm and 305 nm) with two single-component regression equations for each compound. The selection of the above mentioned wavelengths was performed by using the Kaiser technique. In the second mathematical approach, the multivariate spectral calibration (MSC) was constructed by a combined use of 42 linear regression functions consisting of 21 single linear regression equations for each compound at 21-wavelength set in between 230 and 330 run with intervals of Delta lambda=5nm. These two mathematical approaches were validated and applied to the quantitative analysis of the commercial veterinary formulation containing OXF and OXY. In this study successful results for the synthetic and real samples were reported.