Processing discrete data for deconvolution voltammetry based on the Fourier least-square method

Deconvolution voltammetry is a useful trace elctroanalytical technique. How ever, it suffers from a number of inherent problems that, inevitably, limit the applicability and scope of the technique. The linear sweep voltammetri c curve, while it is not smoothing, cannot be used to operate the deconvolu tion calculation. By monitoring the voltammetric signal in the digital doma in, it is possible to apply the digital signal-processing method to overcom e the problems. In this work, a procedure based on the Fourier least-square method (FLSM) is proposed to treat a noise-contaminated signal. It was fou nd that, after careful optimization of the parameters, the smoothed data ca n be further used to perform deconvolution analysis, and the shape of the p rocessed voltammetric wave is not distorted with an accurate peak position. (C)2000 Elsevier Science B.V. All rights reserved.