MULTICOMPONENT KINETIC DETERMINATIONS USING MULTIVARIATE CALIBRATION TECHNIQUES

Multivariate calibration techniques for use in multicomponent kinetic- based determinations are reviewed. Multivariate calibration is a chemo metric tool that continues to grow in popularity among analytical chem ists. Multicomponent kinetic methods depend on differences in rates of reactions or processes to distinguish among the components. Kinetic p rofiles or a combination of kinetic profiles and spectra are commonly used. Because of their ability to process large quantities of data, mu ltivariate calibration techniques are well suited for kinetic-based de terminations. The concepts and principles of multivariate calibration are discussed first. Classical least squares regression, principal com ponent regression, partial least squares regression and artificial neu ral networks are the multivariate calibration techniques considered he re in detail. Recent examples of the application of these techniques t o multicomponent kinetic determinations are reviewed. Both single and multiwavelength kinetic data are considered.