Modelling the background current with partial least squares regression and transference of the calibration models in the simultaneous determination of Tl and Pb by stripping voltammetry

With the aim of carrying out a calibration transfer for routine analysis, partial least squares (PLS) regression was successfully applied to simultaneously determine thallium and lead by stripping voltammetry when an interfering background current is present. The presence of a significant blank sign...

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Published in:Talanta (Oxford) 1998-05, Vol.46 (1), p.129-138
Main Authors: Herrero, Ana, Ortiz, M.Cruz
Format: Article
Language:English
Subjects:
Background current
Calibration transfer
Multianalyte determination
Overlapping signals
Partial least squares regression
Stripping voltammetry
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description With the aim of carrying out a calibration transfer for routine analysis, partial least squares (PLS) regression was successfully applied to simultaneously determine thallium and lead by stripping voltammetry when an interfering background current is present. The presence of a significant blank signal that overlaps the thallium peak, together with the overlapping thallium and lead signals were both suitably modelled by this multivariate regression technique. Moreover, once the PLS models are built, the piecewise direct standardization (PDS) method can be used to transfer these models over time in such a way that the number of calibration samples that will be needed in future determinations is reduced from 25 to 9, without a loss of quality in the analyses. The mean of the relative errors (in absolute values) obtained for thallium and lead is below 4.94% and 3.19%, respectively.
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subjects Background current
Calibration transfer
Multianalyte determination
Overlapping signals
Partial least squares regression
Stripping voltammetry
title Modelling the background current with partial least squares regression and transference of the calibration models in the simultaneous determination of Tl and Pb by stripping voltammetry
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