This paper proposes a hybrid chemometric method named DOSC-WPT-PLS, which is based on partial least
squares (PLS) regression combined with direct orthogonal signal correction (DOSC) and wavelet packet transform (WPT)
as pre-processing tools for the simultaneous spectrophotometric kinetic determination of Mn (II), Ag (I) and Fe (III). This
method combined with kinetic approach is used for the first time and no past reference has been found for this determination.
The improved PLS regression algorithm was developed by adding a preprocessor based on DOSC and WPT to enhance
the prediction ability. The kinetic chemometric approach that combines kinetic-catalytic method with DOSC-WPTPLS
does not require a detailed kinetic model of the chemical system to obtain the order of reaction and rate constants.
The relative standard errors of prediction (RSEP) obtained for all components using DOSC-WPT-PLS, WPTPLS and PLS
were compared for evaluating their predictive capability. Results obtained from the DOSC-WPT-PLS method were significantly
better, and proved that it outperformed the WPTPLS and PLS methods.
Keywords: Chemometrics, Direct orthogonal signal correction, Iron, Kinetic determination, Manganese, Metals, Overlapping
spectra, Partial least squares, Silver, Wavelet packet transform
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