Evidence map›Paper›PMID 39376097›Full record

ArticleEnvironmental science & technology2024

Chemical Exposomics in Human Plasma by Lipid Removal and Large-Volume Injection Gas Chromatography-High-Resolution Mass Spectrometry.

Hongyu Xie, Kalliroi Sdougkou, Bénilde Bonnefille, Stefano Papazian, Ingvar A Bergdahl, Panu Rantakokko, Jonathan W Martin

Abstract read
In one paragraph

Article in Environmental science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Tumor Exposomics: A New Paradigm for Individualized Continuous Exposure Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. 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

7 authors.

Hongyu XieDepartment of Environmental Science, Stockholm University, 106 91 Stockholm, Sweden.ORCID 0000-0002-2422-0492
Kalliroi SdougkouDepartment of Environmental Science, Stockholm University, 106 91 Stockholm, Sweden.ORCID 0000-0001-9463-655X
Bénilde BonnefilleDepartment of Environmental Science, Stockholm University, 106 91 Stockholm, Sweden.ORCID 0000-0001-5141-7111
Stefano PapazianDepartment of Environmental Science, Stockholm University, 106 91 Stockholm, Sweden.ORCID 0000-0003-2538-8702
Ingvar A BergdahlDepartment of Public Health and Clinical Medicine, Section for Sustainable Health, Umeå University, 901 87 Umeå, Sweden.ORCID 0000-0003-1227-6859
Panu RantakokkoDepartment of Public Health, Lifestyles and Living Environments Unit, National Institute for Health and Welfare, Neulaniementie 4, 702 10 Kuopio, Finland.
Jonathan W MartinDepartment of Environmental Science, Stockholm University, 106 91 Stockholm, Sweden.ORCID 0000-0001-6265-4294

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For comprehensive chemical exposomics in blood, analytical workflows are evolving through advances in sample preparation and instrumental methods. We hypothesized that gas chromatography-high-resolution mass spectrometry (GC-HRMS) workflows could be enhanced by minimizing lipid coextractives, thereby enabling larger injection volumes and lower matrix interference for improved target sensitivity and nontarget molecular discovery. A simple protocol was developed for small plasma volumes (100-200 μL) by using isohexane (H) to extract supernatants of acetonitrile-plasma (A-P). The HA-P method was quantitative for a wide range of hydrophobic multiclass target analytes (i.e., log

Indexed as

Gas Chromatography-Mass SpectrometryLipidsHumansPlasmaLipidsblood plasmachemical exposomeexposureGC-HRMSmolecular discoverysample preparation

Identifiers

PMID39376097
PMCPMC11465644

What OpenQuestion holds

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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.