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

dc.centroFacultad de Cienciases_ES
dc.contributor.authorGarcía-Gómez, Laura
dc.contributor.authorPoblación, Iraxte
dc.contributor.authorDelgado-Pérez, Tomás
dc.contributor.authorLaserna-Vázquez, José Javier
dc.contributor.authorVelasquez, Marizu
dc.contributor.authorPorizka, Pavel
dc.contributor.authorBuday, Jakub
dc.contributor.authorKaiser, Josef
dc.contributor.authorLobato, Álvaro
dc.contributor.authorCasado, Ana I.
dc.contributor.authorTaravillo, Mercedes
dc.contributor.authorMadariaga, Juan Manuel
dc.contributor.authorAramendia, Julene
dc.contributor.authorRull, Fernando
dc.contributor.authorCarrizo, Daniel
dc.contributor.authorMartínez-Frías, Jesús
dc.contributor.authorVadillo-Pérez, Iñaki
dc.contributor.authorVadillo-Pérez, José Miguel
dc.contributor.authorFortes-Román, Francisco Javier
dc.contributor.authorCabalín-Robles, Luisa María
dc.date.accessioned2025-11-05T10:20:44Z
dc.date.available2025-11-05T10:20:44Z
dc.date.issued2025-10-29
dc.departamentoQuímica Analíticaes_ES
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 (Málaga, 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 (µ-EDXRF), and Raman spectroscopy, all of them integrated in the Perseverance rover payload. LIBS and µ-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.es_ES
dc.identifier.citationGarcía-Gómez, L., Población, I., Delgado, T. et al. Integration of SuperCam based chemical imaging and clustering to correlate geochemistry and mineralogy in heterogeneous samples. Sci Rep 15, 37808 (2025). https://doi.org/10.1038/s41598-025-21770-4es_ES
dc.identifier.doi10.1038/s41598-025-21770-4
dc.identifier.urihttps://hdl.handle.net/10630/40598
dc.language.isoenges_ES
dc.publisherNaturees_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectEspectroscopía de plasma inducido por láseres_ES
dc.subjectAlgoritmos computacionaleses_ES
dc.subjectAprendizaje automático (Inteligencia artificial)es_ES
dc.subjectPlanetas - Exploraciónes_ES
dc.subject.otherLIBSes_ES
dc.subject.otherMappinges_ES
dc.subject.otherK-meanses_ES
dc.subject.otherPlanetary explorationes_ES
dc.titleIntegration of SuperCam based chemical imaging and clustering to correlate geochemistry and mineralogy in heterogeneous sampleses_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery9a4ef9eb-9980-49a2-9a20-f52f3bc97e5d

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