Evidence map›Paper›PMID 40699261›Full record

ArticleAnalytical and bioanalytical chemistry2025

From mold to mycotoxins: an LC-MS/MS method for quantifying airborne mycotoxins in indoor environments.

Wiebke Derz, Paul W Elsinghorst

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2025. 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

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

2 authors.

Wiebke DerzCentral Institute of the Bundeswehr Medical Service Munich, Ingolstädter Landstraße 102, 85748, Garching, Germany.ORCID http://orcid.org/0000-0003-3841-3065
Paul W ElsinghorstCentral Institute of the Bundeswehr Medical Service Munich, Ingolstädter Landstraße 102, 85748, Garching, Germany. paul.elsinghorst@uni-bonn.de.ORCID http://orcid.org/0000-0001-8999-3122

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Airborne exposure to mycotoxins and fungal spores poses a significant yet often overlooked risk to human health. Inhalation and ingestion of mycotoxins being adsorbed onto dust particles or as part of mycelium debris are the primary pathways of incorporation. Exposure assessment, however, is hampered as the detection of airborne mycotoxins remains challenging due to very low sampling masses, ultra-trace level toxin concentrations, and the complexity of dust matrices. Here, we present a reliable sampling and LC-MS/MS-based quantification method for 29 mycotoxins highly relevant to airborne mycotoxin exposure. Total suspended particulate matter (TSP) was collected using a stationary sampler equipped with glass fiber filters, which were subsequently classified according to composition and extent of their loading. Extraction conditions were optimized and standard addition applied to match the observed matrix effects. The method was fully validated by applying a paired observations approach covering working ranges and quantification limits applicable to ultra-trace analysis. Applicability of the method has been demonstrated in three authentic cases of mold-infested working environments, where seven different mycotoxins including alternariol monomethyl ether, sterigmatocystin, and stachybotrylactam were successfully detected and quantified.

Indexed as

Air MicrobiologyAir Pollution, IndoorEnvironmental MonitoringFungiMycotoxinsTandem Mass SpectrometryChromatography, LiquidDustHumansLimit of DetectionLiquid Chromatography-Mass SpectrometryDustMycotoxinsDust samplingIndoor moldMycotoxicosisMycotoxinsTotal suspended particulate matter (TSP)

Identifiers

PMID40699261
PMCPMC12325524

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.