Evidence map›Paper›PMID 40856018›Full record

ArticleRapid communications in mass spectrometry : RCM2025

Stable Nitrogen Isotope Analysis of Amino Acids by Orbitrap Mass Spectrometry: Application for Extraterrestrial Samples.

O M McIntosh, A A Baczynski, M Matney, H L McLain, K K Farnsworth, J P Dworkin, D P Glavin, J E Elsila, H Xie, K H Freeman

Abstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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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

10 authors.

O M McIntoshDepartment of Geosciences, Pennsylvania State University, University Park, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-8714-2586
A A BaczynskiDepartment of Geosciences, Pennsylvania State University, University Park, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-7490-6620
M MatneyDepartment of Geosciences, Pennsylvania State University, University Park, Pennsylvania, USA.
H L McLainSolar System Exploration Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
K K FarnsworthSolar System Exploration Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
J P DworkinSolar System Exploration Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
D P GlavinSolar System Exploration Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
J E ElsilaSolar System Exploration Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
H XieDepartment of Geosciences, Pennsylvania State University, University Park, Pennsylvania, USA.
K H FreemanDepartment of Geosciences, Pennsylvania State University, University Park, Pennsylvania, USA.

Funding

NASA 80GSFC24M0006NASA NNH09ZDA007ONASA NNH21ZDA001N-ORSAPSP
6 · The paper itself

Abstract

backgroundObtaining isotopic data on soluble organic compounds, such as amino acids, in extraterrestrial samples is crucial for understanding their origins, prebiotic chemistry, and potential contamination. Conventional GC-IRMS requires grams of material to measure isotopic compositions, limiting the analysis of low-concentration organics in meteorites and other astromaterials. We present an Orbitrap-based method optimized for nitrogen isotopic analysis of amino acids.

resultsThis method determines δ SIGNIFICANCE: These results highlight the potential of Orbitrap mass spectrometry for δ

Indexed as

Amino AcidsExtraterrestrial EnvironmentMass SpectrometryNitrogen IsotopesMeteoroidsAmino AcidsNitrogen Isotopesamino acidscarbonaceous chondritesGC‐Orbitrap‐IRMSMurchison meteoritenitrogen stable isotopes

Identifiers

PMID40856018
PMCPMC12379112

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Registered trials

None linked

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.