Multivariate classification of echellograms: a new perspective in Laser-Induced Breakdown Spectroscopy analysis

Abstract In this work, we proposed a new data acquisition approach that significantly improves the repetition rates of Laser-Induced Breakdown Spectroscopy (LIBS) experiments, where high-end echelle spectrometers and intensified detectors are commonly used. The moderate repetition rates of recent LI...

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Autores principales:	Pavel Pořízka, Jakub Klus, Jan Mašek, Martin Rajnoha, David Prochazka, Pavlína Modlitbová, Jan Novotný, Radim Burget, Karel Novotný, Jozef Kaiser
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/58b15fc2a1744c18b716a9af39591fc0
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spelling	oai:doaj.org-article:58b15fc2a1744c18b716a9af39591fc02021-12-02T16:08:01ZMultivariate classification of echellograms: a new perspective in Laser-Induced Breakdown Spectroscopy analysis10.1038/s41598-017-03426-02045-2322https://doaj.org/article/58b15fc2a1744c18b716a9af39591fc02017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03426-0https://doaj.org/toc/2045-2322Abstract In this work, we proposed a new data acquisition approach that significantly improves the repetition rates of Laser-Induced Breakdown Spectroscopy (LIBS) experiments, where high-end echelle spectrometers and intensified detectors are commonly used. The moderate repetition rates of recent LIBS systems are caused by the utilization of intensified detectors and their slow full frame (i.e. echellogram) readout speeds with consequent necessity for echellogram-to-1D spectrum conversion (intensity vs. wavelength). Therefore, we investigated a new methodology where only the most effective pixels of the echellogram were selected and directly used in the LIBS experiments. Such data processing resulted in significant variable down-selection (more than four orders of magnitude). Samples of 50 sedimentary ores samples (distributed in 13 ore types) were analyzed by LIBS system and then classified by linear and non-linear Multivariate Data Analysis algorithms. The utilization of selected pixels from an echellogram yielded increased classification accuracy compared to the utilization of common 1D spectra.Pavel PořízkaJakub KlusJan MašekMartin RajnohaDavid ProchazkaPavlína ModlitbováJan NovotnýRadim BurgetKarel NovotnýJozef KaiserNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Pavel Pořízka Jakub Klus Jan Mašek Martin Rajnoha David Prochazka Pavlína Modlitbová Jan Novotný Radim Burget Karel Novotný Jozef Kaiser Multivariate classification of echellograms: a new perspective in Laser-Induced Breakdown Spectroscopy analysis
description	Abstract In this work, we proposed a new data acquisition approach that significantly improves the repetition rates of Laser-Induced Breakdown Spectroscopy (LIBS) experiments, where high-end echelle spectrometers and intensified detectors are commonly used. The moderate repetition rates of recent LIBS systems are caused by the utilization of intensified detectors and their slow full frame (i.e. echellogram) readout speeds with consequent necessity for echellogram-to-1D spectrum conversion (intensity vs. wavelength). Therefore, we investigated a new methodology where only the most effective pixels of the echellogram were selected and directly used in the LIBS experiments. Such data processing resulted in significant variable down-selection (more than four orders of magnitude). Samples of 50 sedimentary ores samples (distributed in 13 ore types) were analyzed by LIBS system and then classified by linear and non-linear Multivariate Data Analysis algorithms. The utilization of selected pixels from an echellogram yielded increased classification accuracy compared to the utilization of common 1D spectra.
format	article
author	Pavel Pořízka Jakub Klus Jan Mašek Martin Rajnoha David Prochazka Pavlína Modlitbová Jan Novotný Radim Burget Karel Novotný Jozef Kaiser
author_facet	Pavel Pořízka Jakub Klus Jan Mašek Martin Rajnoha David Prochazka Pavlína Modlitbová Jan Novotný Radim Burget Karel Novotný Jozef Kaiser
author_sort	Pavel Pořízka
title	Multivariate classification of echellograms: a new perspective in Laser-Induced Breakdown Spectroscopy analysis
title_short	Multivariate classification of echellograms: a new perspective in Laser-Induced Breakdown Spectroscopy analysis
title_full	Multivariate classification of echellograms: a new perspective in Laser-Induced Breakdown Spectroscopy analysis
title_fullStr	Multivariate classification of echellograms: a new perspective in Laser-Induced Breakdown Spectroscopy analysis
title_full_unstemmed	Multivariate classification of echellograms: a new perspective in Laser-Induced Breakdown Spectroscopy analysis
title_sort	multivariate classification of echellograms: a new perspective in laser-induced breakdown spectroscopy analysis
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/58b15fc2a1744c18b716a9af39591fc0
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Multivariate classification of echellograms: a new perspective in Laser-Induced Breakdown Spectroscopy analysis

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