Integration of SuperCam based chemical imaging and clustering to correlate geochemistry and mineralogy in heterogeneous samples

dc.contributor.authorGarcia-Gomez, Lauracs
dc.contributor.authorPoblacion, Iratxecs
dc.contributor.authorDelgado, Tomascs
dc.contributor.authorLaserna, Javiercs
dc.contributor.authorVelasquez, Marizucs
dc.contributor.authorPořízka, Pavelcs
dc.contributor.authorBuday, Jakubcs
dc.contributor.authorKaiser, Jozefcs
dc.contributor.authorLobato, Alvarocs
dc.contributor.authorCasado, Ana I.cs
dc.contributor.authorTaravillo, Mercedescs
dc.contributor.authorMadariaga, Juan Manuelcs
dc.contributor.authorAramendia, Julenecs
dc.contributor.authorRull, Fernandocs
dc.contributor.authorCarrizo, Danielcs
dc.contributor.authorMartinez-Frias, Jesuscs
dc.contributor.authorVadillo, Inakics
dc.contributor.authorVadillo, Jose Miguelcs
dc.contributor.authorFortes, Francisco J.cs
dc.contributor.authorCabalin, Luisa M.cs
dc.coverage.issue1cs
dc.coverage.volume15cs
dc.date.accessioned2026-02-19T13:54:24Z
dc.date.issued2025-10-29cs
dc.description.abstractPeridotites are ultramafic rocks whose mineralogical diversity makes them suitable case studies for testing analytical methodologies. In this study, a peridotite sample from the Ronda massif (M & aacute;laga, Spain) was examined demonstrating a practical methodology for distinguishing geochemically distinct regions within complex lithologies. The sample was analyzed using a multi-instrumental approach combining laser-induced breakdown spectroscopy (LIBS), micro-energy dispersive X-ray fluorescence (mu -EDXRF), and Raman spectroscopy, all of them integrated in the Perseverance rover payload. LIBS and mu -EDXRF were used to assess elemental composition and spatial distribution across the sample, whereas Raman spectroscopy confirmed the presence of mineral phases such as, olivine, pyroxenes, and chromiferous spinels in specific regions. Elemental LIBS ratios such as Mg# and Cr# further supported the identification of compositional variations related to mineral phases. Spectral LIBS data were processed using k-means clustering to segment geochemical zones and detect spatial trends. This integrated spectroscopic and statistical approach enables interpretation of ultramafic rock complexity and offers an efficient framework for planetary exploration under mission constraints.en
dc.formattextcs
dc.format.extent13cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationScientific Reports. 2025, vol. 15, issue 1, 13 p.en
dc.identifier.doi10.1038/s41598-025-21770-4cs
dc.identifier.issn2045-2322cs
dc.identifier.orcid0000-0002-9162-3734cs
dc.identifier.orcid0000-0002-2653-9528cs
dc.identifier.orcid0000-0002-8604-7365cs
dc.identifier.orcid0000-0003-1453-5068cs
dc.identifier.orcid0000-0002-7397-125Xcs
dc.identifier.orcid0000-0002-2798-6178cs
dc.identifier.orcid0000-0002-9365-557Xcs
dc.identifier.orcid0000-0002-1685-6335cs
dc.identifier.orcid0000-0003-3728-8370cs
dc.identifier.orcid0000-0002-9767-6618cs
dc.identifier.orcid0000-0001-6217-3474cs
dc.identifier.other199574cs
dc.identifier.researcheridJGW-4980-2023cs
dc.identifier.researcheridITM-8257-2023cs
dc.identifier.researcheridIJQ-1510-2023cs
dc.identifier.researcheridAAM-4400-2021cs
dc.identifier.researcheridGJL-1575-2022cs
dc.identifier.researcheridG-9463-2014cs
dc.identifier.researcheridDVV-6170-2022cs
dc.identifier.researcheridD-6800-2012cs
dc.identifier.researcheridH-5550-2015cs
dc.identifier.researcheridL-6898-2017cs
dc.identifier.researcheridOTS-7491-2025cs
dc.identifier.researcheridL-6333-2014cs
dc.identifier.researcheridI-4816-2015cs
dc.identifier.researcheridHQL-3371-2023cs
dc.identifier.researcheridOJO-9131-2025cs
dc.identifier.researcheridOVM-9953-2025cs
dc.identifier.researcheridABG-3044-2020cs
dc.identifier.researcheridOTX-3519-2025cs
dc.identifier.researcheridAAJ-7234-2021cs
dc.identifier.researcheridCGR-6087-2022cs
dc.identifier.scopus55312098800cs
dc.identifier.scopus7402184758cs
dc.identifier.urihttps://hdl.handle.net/11012/256289
dc.language.isoencs
dc.publisherSpringer Naturecs
dc.relation.ispartofScientific Reportscs
dc.relation.urihttps://www.nature.com/articles/s41598-025-21770-4cs
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.subjectLIBSen
dc.subjectMappingen
dc.subjectK-meansen
dc.subjectPlanetary explorationen
dc.titleIntegration of SuperCam based chemical imaging and clustering to correlate geochemistry and mineralogy in heterogeneous samplesen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.grantNumberinfo:eu-repo/grantAgreement/GA0/GF/GF23-05186Kcs
sync.item.dbidVAV-199574en
sync.item.dbtypeVAVen
sync.item.insts2026.02.19 14:54:24en
sync.item.modts2026.02.19 14:34:26en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav fyzikálního inženýrstvícs
thesis.grantorVysoké učení technické v Brně. Středoevropský technologický institut VUT. Pokročilé instrumentace a metody pro charakterizace materiálůcs

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