Chemometrics for the analysis of voltammetric data

Abstract

Chemometrics has rarely been applied to electroanalytical data, especially in comparison with its use in spectroscopy. However, in recent years, several chemometric tools have been used for resolving overlapping signals, calibration and model identification. Soft-modeling and multivariate-analysis techniques have been shown to be very powerful for several aims, especially for (i) multianalyte calibration, and (ii) modeling in multicomponent dynamic systems. In this paper, an overview on the application of multivariate analysis techniques to voltammetric data is presented, with a special attention to the contributions of the last decade.