Evidence map›Paper›PMID 41949606›Full record

ArticleAnalytical and bioanalytical chemistry2026

Development and validation of a two-step accelerated solvent extraction-based multiclass method for the quantification of organic markers in urban aerosols.

Aynur Naghizade, Olivier Delhomme, Dani Khoury, Maurice Millet

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Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

4 authors.

Aynur NaghizadeInstitute of Chemistry and Processes for Energy, Environment and Health (ICPEES - CNRS UMR 7515), University of Strasbourg, 25 rue Becquerel, 67087, Strasbourg Cedex 2, France.
Olivier DelhommeInstitute of Chemistry and Processes for Energy, Environment and Health (ICPEES - CNRS UMR 7515), University of Strasbourg, 25 rue Becquerel, 67087, Strasbourg Cedex 2, France.
Dani KhouryInstitute of Chemistry and Processes for Energy, Environment and Health (ICPEES - CNRS UMR 7515), University of Strasbourg, 25 rue Becquerel, 67087, Strasbourg Cedex 2, France.
Maurice MilletInstitute of Chemistry and Processes for Energy, Environment and Health (ICPEES - CNRS UMR 7515), University of Strasbourg, 25 rue Becquerel, 67087, Strasbourg Cedex 2, France. mmillet@unistra.fr.

Funding

Ministry of Science and Education of the Azerbaijani Republic xxx
6 · The paper itself

Abstract

Urban air pollution is heavily influenced by particulate matter, which often contains a complex mixture of organic molecular markers indicative of various sources. This study presents a comprehensive, validated analytical protocol for the simultaneous quantification of 136 target compounds across five major families of organic markers, categorized into five diverse families: 64 phenols, 22 carboxylic acids, 16 polycyclic aromatic hydrocarbons (PAHs), 14 saccharides, and 20 tire wear particle (TWP) chemicals. The protocol employs a dual-step accelerated solvent extraction process to effectively recover both polar and non-polar analytes: an initial extraction with acetonitrile targets phenols, carboxylic acids, PAHs, and TWP chemicals, followed by dichloromethane:methanol (1:1 v/v) for saccharides. Extracts are analyzed using chromatographic techniques tailored for each class: gas chromatography-mass spectrometry (GC-MS) for phenols and carboxylic acids, ion trap GC-MS for saccharides, gas chromatography-tandem mass spectrometry for PAHs, and high-performance liquid chromatography-tandem mass spectrometry for TWP chemicals, confirming good linearity (r

Indexed as

DerivatizationParticulate matterPhenolsPolycyclic aromatic hydrocarbonsSaccharidesTire wear particles

Identifiers

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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.