Evidence map›Paper›PMID 42483996›Full record

ArticleEnvironmental science & technology2026

Chromatography Coupled to High-Resolution Mass Spectrometry Analysis Reveals Flaws in van Krevelen Compound Class Assignments in DOM.

Maria G Digernes, Alexander J Craig, Tsz Yung Patrick Wong, Erik Bergström, Murat V Ardelan, Jeffrey A Hawkes

Abstract read
In one paragraph

Article in Environmental science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Maria G DigernesNorwegian University of Science and Technology (NTNU) Department of Chemistry, Trondheim7049, Norway.
Alexander J CraigUppsala University , Department of Chemistry for Life Sciences, BMC, Uppsala75124, Sweden.
Tsz Yung Patrick WongUppsala University , Department of Chemistry for Life Sciences, BMC, Uppsala75124, Sweden.ORCID 0009-0002-8733-6051
Erik BergströmUppsala University , Department of Chemistry for Life Sciences, BMC, Uppsala75124, Sweden.
Murat V ArdelanNorwegian University of Science and Technology (NTNU) Department of Chemistry, Trondheim7049, Norway.
Jeffrey A HawkesUppsala University , Department of Chemistry for Life Sciences, BMC, Uppsala75124, Sweden.ORCID 0000-0003-0664-2242

Funding

Norges Forskningsr?d RCN#276730Swedish Research Council for Sustainable Development (FORMAS) 2021-00543
6 · The paper itself

Abstract

High-resolution mass spectrometry (HRMS) is a powerful tool for determining molecular formulas in dissolved organic matter (DOM). In the biogeochemical field, it is common to assign DOM molecular formulas to prospective chemical classes based on elemental ratios alone, with these classes based on known biomolecules or empirical classifications (e.g., carboxyl-rich alicyclic molecules). However, accurate identification of molecular origin remains challenging due to DOM's extreme isomeric diversity and the inability of HRMS to provide information about chemical connectivity, calling into question the accuracy of assignment or quantification. To address the lack of chemical connectivity gained from HRMS alone, we used liquid chromatography-HRMS to determine whether retention behavior is consistent with biochemical class assignment. Problematically, all examined classes displayed very broad retention profiles, indicating diversity of chemical functionality within their defined elemental ratios. Furthermore, retention behavior matched poorly with known biochemical class hydrophobicity data, particularly for "carbohydrates" and "peptides". Additionally, differences in retention profiles of various compound classes and molecular formulas between terrestrial and marine samples show that molecular formulas are constituted by different groups of isomers between environments. We recommend an overhaul of standard practice in the use of HRMS data for biogeochemical investigation of DOM, relying less on assignment to prospective classes and more on chemical understanding, which can be developed through the implementation of chromatography and tandem MS methods using modern equipment and workflows.

Indexed as

Dissolved Organic MatterChromatography, LiquidLiquid Chromatography-Mass SpectrometryMass SpectrometryDissolved Organic Mattercompound classesCRAMDOMLC-HRMSligninliquid chromatography–mass spectrometrynatural organic matterorbitrappeptidevan Krevelen

Identifiers

PMID42483996
PMCPMC13449886

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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.