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

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dc.contributor.authorPořízka, Pavelcs
dc.contributor.authorKlus, Jakubcs
dc.contributor.authorMašek, Jancs
dc.contributor.authorRajnoha, Martincs
dc.contributor.authorProchazka, Davidcs
dc.contributor.authorModlitbová, Pavlínacs
dc.contributor.authorNovotný, Jancs
dc.contributor.authorBurget, Radimcs
dc.contributor.authorNovotný, Karelcs
dc.contributor.authorKaiser, Jozefcs
dc.coverage.issue3160cs
dc.coverage.volume7cs
dc.date.issued2017-12-01cs
dc.description.abstractIn 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.en
dc.formattextcs
dc.format.extent1-12cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationScientific Reports. 2017, vol. 7, issue 3160, p. 1-12.en
dc.identifier.doi10.1038/s41598-017-03426-0cs
dc.identifier.issn2045-2322cs
dc.identifier.orcid0000-0002-8604-7365cs
dc.identifier.orcid0000-0003-2165-0507cs
dc.identifier.orcid0000-0001-6618-9078cs
dc.identifier.orcid0000-0002-9632-6640cs
dc.identifier.orcid0000-0001-6792-6500cs
dc.identifier.orcid0000-0003-4970-356Xcs
dc.identifier.orcid0000-0003-1934-9109cs
dc.identifier.orcid0000-0003-1849-5390cs
dc.identifier.orcid0000-0002-7397-125Xcs
dc.identifier.other136910cs
dc.identifier.researcheridG-9463-2014cs
dc.identifier.researcheridG-9426-2014cs
dc.identifier.researcheridB-3878-2017cs
dc.identifier.researcheridG-9453-2014cs
dc.identifier.researcheridH-8100-2017cs
dc.identifier.researcheridT-3360-2019cs
dc.identifier.researcheridD-6800-2012cs
dc.identifier.scopus55312098800cs
dc.identifier.scopus57201080319cs
dc.identifier.scopus57206170493cs
dc.identifier.scopus23011250200cs
dc.identifier.scopus7402184758cs
dc.identifier.urihttp://hdl.handle.net/11012/69360
dc.language.isoencs
dc.publisherSpringer Naturecs
dc.relation.ispartofScientific Reportscs
dc.relation.urihttps://www.nature.com/articles/s41598-017-03426-0cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2045-2322/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectAnalytical chemistryen
dc.subjectGeologyen
dc.subjectStatisticsen
dc.titleMultivariate classification of echellograms: a new perspective in Laser-Induced Breakdown Spectroscopy analysisen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-136910en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:39:04en
sync.item.modts2025.01.17 15:17:39en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav fyzikálního inženýrstvícs
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Centrum senzorických, informačních a komunikačních systémůcs
thesis.grantorVysoké učení technické v Brně. Středoevropský technologický institut VUT. Pokročilé instrumentace a metody pro charakterizace materiálůcs
thesis.grantorVysoké učení technické v Brně. . AtomTrace s.r.o.cs
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Ústav telekomunikací
Centrum senzorických, informačních a komunikačních systémů
Pokročilé instrumentace a metody pro charakterizace materiálů
Ústav fyzikálního inženýrství