Signal Processing in Electrochemistry

Abstract

This review presents and promotes preprocessing methods applied in electrochemistry prior to data exploration, calibration and classification. Smoothing by digital filtering, baseline correction, separation of overlapping signals, and also transformations to extract the relevant features of the curve are the algorithms of which the application, operation, and optimization of parameters are described. The presentation completes the description of the procedure enabling orthogonal correction of the signals. The theoretical consideration is demonstrated by examples of the practical application of the described algorithms in electrochemistry in recent years. Software packages useful in signal processing in electrochemistry are also listed. The paper underlines the point that particular methods show the different effects of signal processing and in the case of the improper selection of the algorithm or its parameters, undesirable distortions of the curves may be observed. Therefore a knowledge of signal processing methodology is necessary before its application.

Electroanalysis in environmental monitoring: Tracking trace metals—A mini review

“…Eventually, sensitivity and reliability of measurements could be significantly improved by mathematical treatment of voltammetric curves [63], as demonstrated by Pt and Rh analysis at pM level [5,64]. As an example, Fig.…”

Semi-differential analysis of irreversible voltammetric peaks

“…Application of semi-differentiation for deconvolution of voltammetric peaks is also less complicated than by means of Fourier or wavelet transforms [68][69][70][71]. The main disadvantages of the semi-derivative analysis are related to an increase in current noise due to application of differentiation, requirements of subtraction of background currents and formation of artificial semi-derivative signals when the sign of the current does not change when the potential scan is reversed [42,72].…”

Self‐Referencing Background Correction Method for Voltammetric Investigation of Reversible Redox Reaction

“…Often the two interfering elements (noise and background) can be minimized by optimizing the measurement conditions, nevertheless, they are an integral part of most of the experiments [1][2][3]. There exists a constant need to improve the measurement parameters, so that numerical postprocessing methods are employed more often and on greater scale.…”