Fitting-free curve resolution of spectroscopic data: Chemometric and physical chemical viewpoints

Analytica Chimica Acta
Róbert RajkóGábor Pongor

Abstract

In this paper the authors have investigated spectroscopic data analysis according to a recent development, i.e. the Direct Inversion in the Spectral Subspace (DISS) procedure. DISS is a supervised curve resolution technique, consequently it can be used once the spectra of the potential pure components are known and the experimental spectrum of a chemical mixture is also presented; hence the task is to determine the composition of the unknown chemical mixture. In this paper, the original algorithm of DISS is re-examined and some further critical reasoning and essential developments are provided, including the detailed explanations of the constrained minimization task based on Lagrange multiplier regularization approach. The main conclusion is that the regularization used for DISS is needed because of the possible shifted spectra effect instead of collinearity; and this new property, i.e. treating the mild shifted spectra effect, of DISS can be considered as its main scientific advantage.

References

Nov 22, 2007·Journal of Magnetic Resonance·H WinningS B Engelsen
Mar 26, 2010·Analytical and Bioanalytical Chemistry·Yu B MonakhovaS A Astakhov
Nov 16, 2010·Linear Algebra and Its Applications·Mark Bydder
May 17, 2014·Analytica Chimica Acta·Samira BeyramysoltanRóbert Rajkó
Dec 30, 2014·Analytica Chimica Acta·Róbert RajkóNematollah Omidikia

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