Multivariate Regression Methods for Simultaneous Сatalimetry Determination of Iridium (IV) and Rhodium (III)
Application of multivariate regression methods for catalimetry simultaneous determination of iridium (IV) and rhodium (III) based on oxidation of N-methyldiphenylamine-4-sulphonic acid by periodations in weak acid medium was investigated. The data structure of the kinetic measurement was studied with Principal Component Analysis, it was found that the distribution of the samples corresponds to an increase in the total concentration of the catalysts of the PC1 and change the concentration ratio Ir: Rh on PC2. Methods of Multiple Linear Regression (MLR), Principal Component Regression (RGC) and Projection on Latent Structures (PLS) were used to regression task. Estimation of predictive qualities of the models showed instability of MLR model, satisfactory results for rhodium determination with MLR and PLS methods, and successful iridium determination with PLS1 and PLS2 models.
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