RT Journal Article
T1 Integration of SuperCam based  chemical imaging and clustering  to correlate geochemistry and  mineralogy in heterogeneous samples
A1 García-Gómez, Laura
A1 Población, Iraxte
A1 Delgado-Pérez, Tomás
A1 Laserna-Vázquez, José Javier
A1 Velasquez, Marizu
A1 Porizka, Pavel
A1 Buday, Jakub
A1 Kaiser, Josef
A1 Lobato, Álvaro
A1 Casado, Ana I.
A1 Taravillo, Mercedes
A1 Madariaga, Juan Manuel
A1 Aramendia, Julene
A1 Rull, Fernando
A1 Carrizo, Daniel
A1 Martínez-Frías, Jesús
A1 Vadillo-Pérez, Iñaki
A1 Vadillo-Pérez, José Miguel
A1 Fortes-Román, Francisco Javier
A1 Cabalín-Robles, Luisa María
K1 Espectroscopía de plasma inducido por láser
K1 Algoritmos computacionales
K1 Aprendizaje automático (Inteligencia artificial)
K1 Planetas - Exploración
AB Peridotites 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.
PB Nature
YR 2025
FD 2025-10-29
LK https://hdl.handle.net/10630/40598
UL https://hdl.handle.net/10630/40598
LA eng
NO García-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/s41598-025-21770-4
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026