Evidence map›Paper›PMID 40628979›Full record

ArticleAnalytical and bioanalytical chemistry2025

Automated thermal desorption-gas chromatography/mass spectrometry for screening of hazardous chemicals in cotton and cotton blend garments-analytical challenges.

Tim Åström, Conny Östman, Ioannis Sadiktsis, Maria-Ximena Ruiz-Caldas, Ulrika Nilsson

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. 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

5 authors.

Tim ÅströmDepartment of Chemistry, Stockholm University, 11418, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-8389-4414
Conny ÖstmanDepartment of Chemistry, Stockholm University, 11418, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-1636-0214
Ioannis SadiktsisDepartment of Chemistry, Stockholm University, 11418, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-1598-7093
Maria-Ximena Ruiz-CaldasDepartment of Chemistry, Stockholm University, 11418, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-3677-0085
Ulrika NilssonDepartment of Chemistry, Stockholm University, 11418, Stockholm, Sweden. unils@su.se.ORCID http://orcid.org/0000-0002-2981-3617

Funding

Stiftelsen för Miljöstrategisk Forskning SafeChem 2018/11Svenska Forskningsrådet Formas 2021-01540Vetenskapsrådet 2023-05572
6 · The paper itself

Abstract

The global production of textiles involves large amounts of health-hazardous chemicals, constituting possible health risks since residues usually remain in the finished garments. In the present study, a recently published ATD-GC/MS methodology for screening synthetic textiles is further extended to cotton and cotton blend materials. Different textile materials with a high content of cotton were found to exhibit large variations in adsorption strength for a number of chemicals frequently detected in textiles. This was shown to strongly influence the thermal desorption efficiency in ATD-GC/MS. By using absolute response factors from appropriate internal standards spiked directly onto the textile samples, the effects from these differences could be minimized. In this way, accurate quantification was made possible regardless of textile composition, and quantification of native textile chemicals in garments made with the ATD-GC/MS method agreed well with an offline method based on solvent extraction and GC/MS analysis. The ATD-GC/MS method has now been shown to be applicable for quantitative screening of at least 75% of all the clothing textiles on the retail market. The simplified quantification method makes it suitable for screening large numbers of samples. For all fiber materials investigated, the method limit of detection, using only 20 mg of textile, is at least 100 times lower than the current EU regulation for quinoline and a number of toxic arylamines.

Indexed as

ATD-GC/MSCelluloseClothingCottonQuantitative analysisTextile chemicals

Identifiers

PMID40628979
PMCPMC12367912

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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.