Evidence map›Paper›PMID 39620045›Full record

ArticleMeteoritics & planetary science2024

Non-destructive quantitative analysis of melt inclusions in extraterrestrial samples: Case study of chassignite via nanoscale X-ray computed tomography.

Peiyu Wu, Kyle Dayton, Esteban Gazel, Teresa Porri

Abstract read
In one paragraph

Article in Meteoritics & planetary science, 2024. 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

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Peiyu WuDepartment of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY.
Kyle DaytonDepartment of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY.
Esteban GazelDepartment of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY.
Teresa PorriCornell Institute of Biotechnology, Cornell University, Ithaca, NY.

Funding

Acquisition of a Nano Computed Tomography Instrument for shared Cornell Imaging fS10OD012287 · OD · CORNELL UNIVERSITY · PI HERNANDEZ, CHRISTOPHER JOHN · 2013 to 2013
$755k
NIH HHS S10 OD012287
6 · The paper itself

Abstract

Estimation of the composition of planetary rocks and minerals is crucial for understanding their formation processes. In this study, we present the application of X-ray nano-computed tomography (nano-XCT) for non-destructive 3D phase analysis and estimation of phase abundances in rare martian meteorite samples, specifically chassignite Northwest Africa (NWA) 2737. We determined the most suitable laser power for minimizing artifacts and maximizing phase contrast. By utilizing nano-XCT, we successfully identified and segmented primary phases in the bulk meteorite sample. Additionally, we were able to locate and segment crystallized silicate melt inclusions within the meteorite. The phase abundances in bulk NWA 2737 and within melt inclusions calculated using nano-XCT were in good agreement with previous studies that used thin section calculations, demonstrating the reliability of nano-XCT as a non-destructive alternative for estimating bulk phase abundances in rare samples. This study develops a benchmarking protocol and demonstrates the efficacy of nano-XCT as a non-destructive technique for generating an overview of phase distribution and assemblages of melt inclusions within rare samples. Future research can benefit from combining non-destructive 3D phase assemblage estimations with non-destructive 3D chemical analysis techniques to achieve a fully non-destructive parental magma composition estimation of rare cumulate samples.

Indexed as

ChassignitesMelt inclusionsSNC meteoritesX-Ray Computed Tomography

Identifiers

PMID39620045
PMCPMC11606577

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