Evidence map›Paper›PMID 41162622›Full record

ArticleScientific reports2025

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

Laura García-Gómez, Iratxe Población, Tomás Delgado, Javier Laserna, Marizú Velásquez, Pavel Porizka, Jakub Buday, Jozef Kaiser, Álvaro Lobato, Ana I Casado and 10 more

Abstract read
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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

20 authors.

Laura García-GómezUMALASERLAB, Departamento de Química Analítica, Universidad de Málaga, Málaga, Spain.
Iratxe PoblaciónDepartment of Analytical Chemistry, University of the Basque Country (UPV/EHU), Leioa, Spain.
Tomás DelgadoUMALASERLAB, Departamento de Química Analítica, Universidad de Málaga, Málaga, Spain.
Javier LasernaUMALASERLAB, Departamento de Química Analítica, Universidad de Málaga, Málaga, Spain. Laserna@uma.es.
Marizú VelásquezUMALASERLAB, Departamento de Química Analítica, Universidad de Málaga, Málaga, Spain.
Pavel PorizkaCentral European Institute of Technology, Brno University of Technology, Brno, Czech Republic.
Jakub BudayCentral European Institute of Technology, Brno University of Technology, Brno, Czech Republic.
Jozef KaiserFaculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic.
Álvaro LobatoDepartment of Physical Chemistry, Universidad Complutense de Madrid (UCM), Madrid, Spain.
Ana I CasadoDepartment of Physical Chemistry, Universidad Complutense de Madrid (UCM), Madrid, Spain.
Mercedes TaravilloDepartment of Physical Chemistry, Universidad Complutense de Madrid (UCM), Madrid, Spain.
Juan Manuel MadariagaDepartment of Analytical Chemistry, University of the Basque Country (UPV/EHU), Leioa, Spain.
Julene AramendiaDepartment of Analytical Chemistry, University of the Basque Country (UPV/EHU), Leioa, Spain.
Fernando RullERICA Research Group, University of Valladolid (UVa), Valladolid, Spain.
Daniel CarrizoCentro de Astrobiología (CSIC-INTA), Madrid, Spain.
Jesús Martínez-FríasInstituto de Geociencias (IGEO, CSIC-UCM), Madrid, Spain.
Iñaki VadilloGrupo de Hidrogeología, Departamento de Ecología y Geología, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain.
José Miguel VadilloUMALASERLAB, Departamento de Química Analítica, Universidad de Málaga, Málaga, Spain.
Francisco J FortesUMALASERLAB, Departamento de Química Analítica, Universidad de Málaga, Málaga, Spain.
Luisa M CabalínUMALASERLAB, Departamento de Química Analítica, Universidad de Málaga, Málaga, Spain.

Funding

Czech Science Foundation (GACR) 23-05186KMinisterio de Economia y Competitividad of Spain PID2020-119185GB-I00
6 · The paper itself

Abstract

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.

Indexed as

K-meansLIBSMappingPlanetary exploration

Identifiers

PMID41162622
PMCPMC12572376

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.