Matrix Effect Variability in Urine Samples from Different Cohorts and Implications on LC-ESI-MS Mycotoxin Biomarker Analysis.

Michael Kuhn, Åsa Svanström, Nicholas N A Kyei, Sanna Lignell, Hans-Ulrich Humpf, Benedikt Cramer

Abstract read

In one paragraph

Article in Toxins, 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

–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Michael KuhnInstitute of Food Chemistry, University of Münster, Corrensstraße 45, 48149 Münster, Germany.

Åsa SvanströmDivision for Risk and Benefit Assessment, Swedish Food Agency, P.O. Box 622, 75126 Uppsala, Sweden.ORCID 0000-0002-1009-4181

Nicholas N A KyeiInstitute of Public Health, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany.ORCID 0000-0002-3811-9950

Sanna LignellDivision for Risk and Benefit Assessment, Swedish Food Agency, P.O. Box 622, 75126 Uppsala, Sweden.ORCID 0000-0002-4562-8841

Hans-Ulrich HumpfInstitute of Food Chemistry, University of Münster, Corrensstraße 45, 48149 Münster, Germany.ORCID 0000-0003-3296-3058

Benedikt CramerInstitute of Food Chemistry, University of Münster, Corrensstraße 45, 48149 Münster, Germany.ORCID 0000-0001-7632-8676

Funding

Deutsche Forschungsgemeinschaft (DFG) INST 211/1043-1 FUGGSwedish Environmental Protection Agency no grant number available

6 · The paper itself

Abstract

Matrix effects (ME) during LC-ESI-MS analysis are a commonly acknowledged issue for a variety of matrices and analytes. Although sample preparation techniques are steadily evolving to reduce ME, the complexity and variability of the urine matrix remain a challenge, especially for multi-analyte methods. To investigate the extent of ME implications on method performance and quantification, we used stable isotope-labelled standards (SIL-IS) of 11 mycotoxins to evaluate the magnitude and variability of ME in urine samples from two cohorts: Bangladeshi adult women (

Indexed as

MycotoxinsAdolescentAdultBangladeshBiomarkersChildChromatography, LiquidCohort StudiesFemaleHumansLiquid Chromatography-Mass SpectrometryMaleMiddle AgedSpectrometry, Mass, Electrospray IonizationSwedenYoung AdultBiomarkersMycotoxinsbiomonitoringLC-MS/MSmatrix effectmycotoxin biomarkersurine samples

Identifiers

PMID41893558

DOI10.3390/toxins18030135

PMCPMC13030103

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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.