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Article

Qualitative Analysis of Glass Microfragments Using the Combination of Laser-Induced Breakdown Spectroscopy and Refractive Index Data

1
Department of Inorganic and Analytical Chemistry, University of Szeged, Dóm Square 7, 6720 Szeged, Hungary
2
Department of Optics and Quantum Electronics, University of Szeged, Dóm Square 9, 6720 Szeged, Hungary
3
Department of Physics and Chemistry, Hungarian Institute for Forensic Sciences, Mosonyi Street 9, 1087 Budapest, Hungary
4
Department of Applied and Nonlinear Optics, Institute for Solid State Physics and Optics, Wigner Research Centre for Physics, Konkoly-Thege M. Way 29-33, 1121 Budapest, Hungary
*
Authors to whom correspondence should be addressed.
Academic Editor: Susana Silva
Sensors 2022, 22(8), 3045; https://doi.org/10.3390/s22083045
Received: 10 March 2022 / Revised: 2 April 2022 / Accepted: 12 April 2022 / Published: 15 April 2022
(This article belongs to the Special Issue Laser-Spectroscopy Based Sensing Technologies)
We have successfully demonstrated that although there are significant analytical challenges involved in the qualitative discrimination analysis of sub-mm sized (microfragment) glass samples, the task can be solved with very good accuracy and reliability with the multivariate chemometric evaluation of laser-induced breakdown spectroscopy (LIBS) data or in combination with pre-screening based on refractive index (RI) data. In total, 127 glass samples of four types (fused silica, flint, borosilicate and soda–lime) were involved in the tests. Four multivariate chemometric data evaluation methods (linear discrimination analysis, quadratic discrimination analysis, classification tree and random forest) for LIBS data were evaluated with and without data compression (principal component analysis). Classification tree and random forest methods were found to give the most consistent and most accurate results, with classifications/identifications correct in 92 to 99% of the cases for soda–lime glasses. The developed methods can be used in forensic analysis. View Full-Text
Keywords: glass samples; forensic analysis; laser-induced breakdown spectroscopy (LIBS); sample discrimination; chemometrics; multielemental sensing glass samples; forensic analysis; laser-induced breakdown spectroscopy (LIBS); sample discrimination; chemometrics; multielemental sensing
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MDPI and ACS Style

Palásti, D.J.; Kopniczky, J.; Vörös, T.; Metzinger, A.; Galbács, G. Qualitative Analysis of Glass Microfragments Using the Combination of Laser-Induced Breakdown Spectroscopy and Refractive Index Data. Sensors 2022, 22, 3045. https://doi.org/10.3390/s22083045

AMA Style

Palásti DJ, Kopniczky J, Vörös T, Metzinger A, Galbács G. Qualitative Analysis of Glass Microfragments Using the Combination of Laser-Induced Breakdown Spectroscopy and Refractive Index Data. Sensors. 2022; 22(8):3045. https://doi.org/10.3390/s22083045

Chicago/Turabian Style

Palásti, Dávid Jenő, Judit Kopniczky, Tamás Vörös, Anikó Metzinger, and Gábor Galbács. 2022. "Qualitative Analysis of Glass Microfragments Using the Combination of Laser-Induced Breakdown Spectroscopy and Refractive Index Data" Sensors 22, no. 8: 3045. https://doi.org/10.3390/s22083045

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