Evidence map›Paper›PMID 42193985›Full record

ArticleBiomolecules2026

Headspace Volatile Organic Compound (VOC) Profiling of Infected and Non-Infected Wound Swabs-A Pilot Study.

Shane Fitzgerald, Linda Holland, Melissa Finnegan, Kellie Fortune, Brid Cooney, Eoghan O'Neill, John H McDermott, Seamus Sreenan, Tommy Kyaw-Tun, Aoife Morrin

Abstract read
In one paragraph

Article in Biomolecules, 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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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

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

10 authors.

Shane FitzgeraldSchool of Chemical Sciences, Insight Research Ireland Centre for Data Analytics, Dublin City University, D09 V209 Dublin, Ireland.ORCID 0000-0002-6570-4485
Linda HollandSchool of Biotechnology, Dublin City University, D09 V209 Dublin, Ireland.
Melissa FinneganSchool of Chemical Sciences, Insight Research Ireland Centre for Data Analytics, Dublin City University, D09 V209 Dublin, Ireland.
Kellie FortuneAcademic Department of Endocrinology and Diabetes, Connolly Hospital, Royal College of Surgeons in Ireland, D15 X40D Dublin, Ireland.
Brid CooneyAcademic Department of Endocrinology and Diabetes, Connolly Hospital, Royal College of Surgeons in Ireland, D15 X40D Dublin, Ireland.
Eoghan O'NeillDepartment of Clinical Microbiology, RCSI University of Medicine and Health Sciences, RCSI Education & Research Centre, D09 YD60 Dublin, Ireland.
John H McDermottAcademic Department of Endocrinology and Diabetes, Connolly Hospital, Royal College of Surgeons in Ireland, D15 X40D Dublin, Ireland.
Seamus SreenanAcademic Department of Endocrinology and Diabetes, Connolly Hospital, Royal College of Surgeons in Ireland, D15 X40D Dublin, Ireland.ORCID 0000-0003-2457-2612
Tommy Kyaw-TunAcademic Department of Endocrinology and Diabetes, Connolly Hospital, Royal College of Surgeons in Ireland, D15 X40D Dublin, Ireland.
Aoife MorrinSchool of Chemical Sciences, Insight Research Ireland Centre for Data Analytics, Dublin City University, D09 V209 Dublin, Ireland.ORCID 0000-0002-3031-4794

Funding

Science Foundation Ireland SFI/12/RC/2289_P2
6 · The paper itself

Abstract

Infections of chronic wounds are a major healthcare burden worldwide and can lead to poor health outcomes such as amputations of limbs and death. Detecting infections early significantly increases the effectiveness of therapeutic interventions. Screening of volatile organic compounds (VOCs) emitted from wound swab samples can potentially serve as a highly specific indicator of infection. Profiling of VOCs from infected and non-infected wounds was carried out. Swab samples were collected from 26 wounds from 23 patients (n = 20 diabetic patients; n = 3 non-diabetic patients). There were 16 wounds sampled that were clinically determined as infected, and 10 as non-infected. Headspace-solid phase microextraction gas chromatography-mass spectrometry (HS-GC-MS) was used to rapidly sample and detect VOCs from the swabs following a short incubation period. A total of 42 compounds were identified and included for analysis. Infected wounds emitted more diverse VOCs compared to non-infected wounds. Higher numbers of compounds with significantly higher abundances were detected from severely infected wounds compared to less severely infected wounds. Abundances of short-chain fatty acids (SCFAs) and branched-chain fatty acids (BCFAs) were found to be the strongest discriminators of infected from non-infected wounds. Further validation is needed, but the results of this pilot study highlight the potential of detecting these compounds as a highly specific and targeted route to predicting or detecting wound infections in the future.

Indexed as

Volatile Organic CompoundsWound InfectionAgedFemaleGas Chromatography-Mass SpectrometryHumansMaleMiddle AgedPilot ProjectsSolid Phase MicroextractionVolatile Organic CompoundsGCMSinfectionSPMEVOCswound

Identifiers

PMID42193985
PMCPMC13204046

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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.