Evidence map›Paper›PMID 39064948›Full record

ArticleMolecules (Basel, Switzerland)2024

Characterization of Low-Molecular-Weight Dissolved Organic Matter Using Optional Dialysis and Orbitrap Mass Spectrometry.

Qiuxing Li, Runyu Zhang, Guopei Huang, Haijun Yuan, Liying Wang, Shuxia Xu

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Qiuxing LiInstitute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China.
Runyu ZhangInstitute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China.
Guopei HuangInstitute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China.
Haijun YuanInstitute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China.ORCID 0009-0003-7098-9280
Liying WangInstitute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China.
Shuxia XuCollege of Earth Science, Chengdu University of Technology, Chengdu 610059, China.

Funding

National Natural Science Foundation of China 41573133National Natural Science Foundation of China 42177244Strategic Priority Research Program of the Chinese Academy of Sciences XDB40020000
6 · The paper itself

Abstract

Low-molecular-weight (LMW, <1000 Da) dissolved organic matter (DOM) plays a significant role in metal/organic pollutant complexation, as well as photochemical/microbiological processes in freshwater ecosystems. The micro size and high reactivity of LMW-DOM hinder its precise characterization. In this study, Suwannee River fulvic acid (SRFA), a commonly used reference material for aquatic DOM, was applied to examine the optical features and molecular composition of LMW-DOM by combining membrane separation, ultraviolet-visible absorption and Orbitrap mass spectrometry (MS) characterization. The 100-500 Da molecular weight cut-off (MWCO) membrane had a better performance in regard to separating the tested LMW-DOM relative to the 500-1000 Da MWCO membrane. The ultraviolet-visible absorbance decreased dramatically for the retentates, whereas it increased for the dialysates. Specifically, carbohydrates, lipids and peptides exhibited high selectivity to the 100-500 Da MWCO membrane in early dialysis. Lignins, tannins and condensed aromatic molecules displayed high permeability to the 500-1000 Da MWCO membrane in late dialysis. Overall, the retentates were dominated by aromatic rings and phenolic hydroxyls with high O/C

Indexed as

dissolved organic matterlow-molecular-weight fractionmembrane dialysisOrbitrap MSvan Krevelen diagram

Identifiers

PMID39064948
PMCPMC11280429

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Registered trials

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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.