Evidence map›Paper›PMID 40994216›Full record

ArticleAnalytical chemistry2025

Distinguishing Isomeric Caffeine Metabolites through Protomers and Tautomers Using Cryogenic Gas-Phase Infrared Spectroscopy.

Niklas Geue, Gurpur Rakesh D Prabhu, Eleonora Renzi, Caitlin Walton-Doyle, Gerard Meijer, Gert von Helden, Kevin Pagel

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 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

7 authors.

Niklas GeueInstitute of Chemistry and Biochemistry, Freie Universität Berlin, Altensteinstraße 23a, Berlin 14195, Germany.ORCID 0000-0002-5216-8353
Gurpur Rakesh D PrabhuInstitute of Chemistry and Biochemistry, Freie Universität Berlin, Altensteinstraße 23a, Berlin 14195, Germany.ORCID 0000-0002-3237-212X
Eleonora RenziInstitute of Chemistry and Biochemistry, Freie Universität Berlin, Altensteinstraße 23a, Berlin 14195, Germany.ORCID 0009-0008-2869-5963
Caitlin Walton-DoyleInstitute of Chemistry and Biochemistry, Freie Universität Berlin, Altensteinstraße 23a, Berlin 14195, Germany.
Gerard MeijerDepartment of Molecular Physics, Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, Berlin 14195, Germany.ORCID 0000-0001-9669-8340
Gert von HeldenDepartment of Molecular Physics, Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, Berlin 14195, Germany.ORCID 0000-0001-7611-8740
Kevin PagelInstitute of Chemistry and Biochemistry, Freie Universität Berlin, Altensteinstraße 23a, Berlin 14195, Germany.ORCID 0000-0001-8054-4718

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Caffeine is metabolized through various pathways in the human body, with the primary two steps yielding isomeric products. Distinguishing these metabolites is crucial for mass spectrometry-based metabolomics, for example, to assess specific drug interactions. Here, we investigate the gas-phase structures of caffeine and its metabolites─theophylline, theobromine, paraxanthine, 1-methylxanthine, 3-methylxanthine, and 7-methylxanthine─in their respective protonated ions using cryogenic gas-phase infrared spectroscopy, supported by density functional theory. The analytes exhibit varying preferences for protonation and tautomerism, particularly N9 protonation and, where applicable, a tendency for N3O2 and N1O2 amide-imidic acid and N7N9 imine-imine tautomerism. We further demonstrate that the two isomeric sets of caffeine metabolites can easily be distinguished with gas-phase IR spectroscopy, paving the way for robust identification of such molecules in metabolomics using hyphenated gas-phase techniques.

Indexed as

CaffeineDensity Functional TheoryGasesIsomerismMetabolomicsSpectrophotometry, InfraredTheobromineXanthinesCaffeineGasesTheobromineXanthines

Identifiers

PMID40994216
PMCPMC12509192

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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.