Evidence map›Paper›PMID 33087843›Full record

ArticleScientific reports2020

Multi-strain volatile profiling of pathogenic and commensal cutaneous bacteria.

Shane Fitzgerald, Emer Duffy, Linda Holland, Aoife Morrin

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Profiling of Volatile Metabolites ofInternational journal of molecular sciences · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Predicting Chronological Age via the Skin Volatile Profile.Journal of the American Society for Mass Spectrometry · 2024
    Article
  13. Article
  14. Volatilomes of human infection.Analytical and bioanalytical chemistry · 2024
    Review
  15. Article
  16. Article
  17. Microbial Volatiles as Diagnostic Biomarkers of Bacterial Lung Infection in Mechanically Ventilated Patients.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  18. Review
  19. Screening and Characterization ofAntioxidants (Basel, Switzerland) · 2023
    Article
  20. Rapid Identification of Carbapenemase-ProducingInfection and drug resistance · 2023
    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

4 authors.

Shane FitzgeraldSchool of Chemical Sciences, National Centre for Sensor Research, Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland.
Emer DuffySchool of Chemical Sciences, National Centre for Sensor Research, Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland.
Linda HollandSchool of Biotechnology, Dublin City University, Dublin, Ireland.
Aoife MorrinSchool of Chemical Sciences, National Centre for Sensor Research, Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland. aoife.morrin@dcu.ie.

Funding

Marie Curie 796289
6 · The paper itself

Abstract

The detection of volatile organic compounds (VOC) emitted by pathogenic bacteria has been proposed as a potential non-invasive approach for characterising various infectious diseases as well as wound infections. Studying microbial VOC profiles in vitro allows the mechanisms governing VOC production and the cellular origin of VOCs to be deduced. However, inter-study comparisons of microbial VOC data remains a challenge due to the variation in instrumental and growth parameters across studies. In this work, multiple strains of pathogenic and commensal cutaneous bacteria were analysed using headspace solid phase micro-extraction coupled with gas chromatography-mass spectrometry. A kinetic study was also carried out to assess the relationship between bacterial VOC profiles and the growth phase of cells. Comprehensive bacterial VOC profiles were successfully discriminated at the species-level, while strain-level variation was only observed in specific species and to a small degree. Temporal emission kinetics showed that the emission of particular compound groups were proportional to the respective growth phase for individual S. aureus and P. aeruginosa samples. Standardised experimental workflows are needed to improve comparability across studies and ultimately elevate the field of microbial VOC profiling. Our results build on and support previous literature and demonstrate that comprehensive discriminative results can be achieved using simple experimental and data analysis workflows.

Indexed as

BacteriaGas Chromatography-Mass SpectrometryHumansSkinSolid Phase ExtractionVolatile Organic CompoundsWound InfectionVolatile Organic Compounds

Identifiers

PMID33087843
PMCPMC7578783

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.