Laser-induced breakdown spectroscopy of composite samples: comparison of advanced chemometrics methods

Analytical Chemistry
J-B SirvenL Sarger

Abstract

Laser-induced breakdown spectroscopy is used to measure chromium concentration in soil samples. A comparison is carried out between the calibration curve method and two chemometrics techniques: partial least-squares regression and neural networks. The three quantitative techniques are evaluated in terms of prediction accuracy, prediction precision, and limit of detection. The influence of several parameters specific to each method is studied in detail, as well as the effect of different pretreatments of the spectra. Neural networks are shown to correctly model nonlinear effects due to self-absorption in the plasma and to provide the best results. Subsequently, principal components analysis is used for classifying spectra from two different soils. Then simultaneous prediction of chromium concentration in the two matrixes is successfully performed through partial least-squares regression and neural networks.

Citations

Mar 19, 2011·Analytical and Bioanalytical Chemistry·Jie FengWeidou Ni
May 7, 2009·Analytical and Bioanalytical Chemistry·Jennifer L GottfriedAndrzej W Miziolek
Aug 20, 2015·Scientific Reports·Ashwin Kumar MyakalwarManoj Kumar Gundawar
Jan 7, 2014·The Review of Scientific Instruments·G LeahuM Bertolotti
Mar 28, 2012·Applied Spectroscopy·Man Minh TanYonghoon Lee
Oct 6, 2020·Applied Spectroscopy·David M SurmickNoureddine Melikechi
Feb 19, 2021·Analytical Methods : Advancing Methods and Applications·Danny LuarteDaniel Sbarbaro

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