Application of partial least‐squares regression for signal resolution in differential pulse anodic stripping voltammetry of thallium and lead

Abstract

This work addresses the problem o f signal resolution by partial least-squares regression (PLS) for differential pulse stripping voltammogranis. The performance o f PLS is demonstrated for an example of calibration with mixtures o f two analytes (TI+ and PbL+) with strongly overlapping voltammograms. The accuracy o f the determination o f concentrations for validation mixtures was found t o be considerably higher with PLS than with simple evaluation using currents observed at two potentials (requiring resolution of a system of two linear equations with two unknowns). Hence, I'LS is recommended for computer-assisted, on-line voltammetric analysis o f multicomponent systems.

A Combination Bismuth Bulk Electrode and Its Use in Adsorptive Constant‐Current Stripping Chronopotentiometry for Iron Using Solochrome Violet RS

“…Partial least squares (PLS) calibrations have successfully been used in anodic stripping voltammetry for Tl and Pb 23 and anodic stripping chronopotentiometry for As 24 to overcome problems with overlapping peaks and high background signals and in adsorptive constant‐current stripping chronopotentiometry for Fe and Ti 22 to overcome problems with overlapping peaks and non‐linear response due to electrode surface saturation. In the present work, a PLS calibration has been used primarily to overcome interferences from Al and Ni in the determination of Fe with the SVRS ligand in a reference solution for calibration of waste water analyses.…”

Simultaneous Determination of Three Synthetic Glucocorticoids by Differential Pulse Stripping Voltammetry with the Aid of Chemometrics

“…However, their applicability for the determination of multicomponent mixtures, especially for some organic compounds with similar molecular structure, are rather limited because seriously overlapped polarograms or voltammograms are generally obtained. Diverse chemometric methods, such as multiple linear regression (MLR) (Turnes et al 1992;Garcia et al 1994), Kalman filter (KF) (Brown and Brown 1981), partial least squares (PLS) (Henrion et al 1990) and principal component regression (PCR), and iterative target transformation factor analysis (ITTFA) (Ni and Jin 1999), have been shown to overcome this limitation and resolve the overlapping bands successfully. Recently, these chemometric approaches have been applied to binary or ternary mixtures of similar organic compounds (Ni, Wang, and Kokot 2006;Ni, Qiu, and Kokot 2005;Guiberteau et al 2001).…”

Simultaneous Polarographic Determination of Lead (II) and TIN (II) by Multivariate Calibration

“…Henrion el al. 9 applied PLS to resolve quantitatively overlapped responses obtained from differential pulse anodic stripping voltammetry. PCR and PLS were also used to resolve the overlapping polarograms of organic compounds, such as mixtures of pyrazine and its methyl derivatives 10 …”