Analyze overlapping Baker square wave voltammograms based on data mining

摘要

A novel method, referred to as OSC-WPT-PLS approach based on partial least squares(PLS) regression with orthogonal signal correction(OSC) and wavelet packet transform (WPT) as preprocessed tools, was proposed to carry out the simultaneous voltammetric determination of Pb(Ⅱ), Tl (Ⅰ) and In (Ⅲ) for the first time. This method combines the ideas of OSC and WPT with PLS regression for enhancing the ability of extracting characteristic information and the quality of regression. The relative standard errors of prediction (RSEP) obtained for all elements using OSC-WPT-PLS, WPT-PLS and PLS were compared. Experimental results demonstrated that the OSC-WPT-PLS method had the best performance among the three methods and was successful even when there was severe overlap of voltammgrams.