Elisabeth A. Slade
In vitro discrimination of wound-associated bacteria by volatile compound profiling using selected ion flow tube-mass spectrometry
Slade, Elisabeth A.; Thorn, R. M.S.; Lovering, A. M.; Young, Amber; Reynolds, Darren M.
Authors
Dr Robin Thorn Robin2.Thorn@uwe.ac.uk
Director of Research and Enterprise
A. M. Lovering
Amber Young
Darren Reynolds Darren.Reynolds@uwe.ac.uk
Professor in Health and Environment
Abstract
© 2017 The Society for Applied Microbiology Aims: To determine if bacterial species responsible for clinically relevant wound infection produce specific volatile profiles that would allow their speciation. Methods and Results: Selected ion flow tube-mass spectrometry (SIFT-MS) in full mass scan mode was used to analyse headspace gases produced by wound-associated bacteria grown invitro, so as to enable identification of bacterial volatile product ion profiles in the resulting mass spectra. Applying multivariate statistical analysis (hierarchical clustering and principal component analysis) to the resultant mass spectra enabled clear speciation. Moreover, bacterial volatile product ions could be detected from artificially contaminated wound dressing material, although the pattern of product ions detected was influenced by culture conditions. Conclusions: Using selected product ions from the SIFT-MS mass spectra it is possible to discriminate wound-associated bacterial species grown under specific invitro culture conditions. Significance and Impact of the Study: The results of this study have shown that wound-associated bacteria can be discriminated using volatile analysis invitro and that bacterial volatiles can be detected from wound dressing material. This indicates that volatile analysis of wounds or dressing material to identify infecting microbes has potential and warrants further study.
Citation
Slade, E. A., Thorn, R. M., Lovering, A. M., Young, A., & Reynolds, D. M. (2017). In vitro discrimination of wound-associated bacteria by volatile compound profiling using selected ion flow tube-mass spectrometry. Journal of Applied Microbiology, 123(1), 233-245. https://doi.org/10.1111/jam.13473
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 12, 2017 |
Online Publication Date | Jun 15, 2017 |
Publication Date | Jul 1, 2017 |
Deposit Date | May 15, 2017 |
Publicly Available Date | Mar 28, 2024 |
Journal | Journal of Applied Microbiology |
Print ISSN | 1364-5072 |
Electronic ISSN | 1365-2672 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Volume | 123 |
Issue | 1 |
Pages | 233-245 |
DOI | https://doi.org/10.1111/jam.13473 |
Keywords | bacterial metabolism, Selected Ion Flow Tube – Mass Spectrometry, species discrimination, volatile compound, wound |
Public URL | https://uwe-repository.worktribe.com/output/885057 |
Publisher URL | http://dx.doi.org/10.1111/jam.13473 |
Additional Information | Additional Information : This is the peer reviewed version of the following article: In-vitro discrimination of wound associated bacteria by volatile compound profiling using Selected Ion Flow Tube – Mass Spectrometry, which has been published in final form at http://dx.doi.org/10.1111/jam.13473. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving |
Files
Microbial Volatiles Paper Revised Draft with Figures.pdf
(572 Kb)
PDF
You might also like
HOCl vs OCl−: clarification on chlorine-based disinfectants used within clinical settings
(2023)
Journal Article
Slow violence and river abuse: The hidden effect of land use on water quality
(2023)
Exhibition / Performance
The control of pathogens in stored rainwater using direct electrochemical activation
(2022)
Conference Proceeding
Managing biofilms in ultrafiltration membranes within a point-of-use drinking water system
(2022)
Presentation / Conference
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search