Natalia Drabińska
Application of a solid-phase microextraction-gas chromatography-mass spectrometry/metal oxide sensor system for detection of antibiotic susceptibility in urinary tract infection-causing Escherichia coli – A proof of principle study
Drabińska, Natalia; Hewett, Keith; White, Paul; Avison, Matthew; Persad, Raj; Ratcliffe, Norman; de Lacy Costello, Ben
Authors
Keith Hewett
Paul White Paul.White@uwe.ac.uk
Professor in Applied Statistics
Matthew Avison
Raj Persad
Norman Ratcliffe Norman.Ratcliffe@uwe.ac.uk
Professor in Materials & Sensors Science
Benjamin De Lacy Costello Ben.DeLacyCostello@uwe.ac.uk
Associate Professor in Diagnostics and Bio-Sensing Technology
Abstract
Purpose: Antibiotic resistance is widespread throughout the world and represents a serious health concern. There is an urgent need for the development of novel tools for rapidly distinguishing antibiotic resistant bacteria from susceptible strains. Previous work has demonstrated that differences in antimicrobial susceptibility can be reflected in differences in the profile of volatile organic compounds (VOCs) produced by dissimilar strains. The aim of this study was to investigate the effect of the presence of cephalosporin antibiotics on the VOC profile of extended spectrum beta-lactamase (ESBL) and non-ESBL producing strains of Escherichia coli. Material and methods: In this study, VOCs from strains of Escherichia coli positive and negative for the most commonly encountered ESBL, CTX-M in the presence of cephalosporin antibiotics were assessed using solid-phase microextraction (SPME) coupled with a combined gas chromatography-mass spectrometry/metal oxide sensor (GC-MS/MOS) system. Results: Our proof-of-concept study allowed for distinguishing CTX-M positive and negative bacteria within 2 h after the addition of antibiotics. One MOS signal (RT: 22.6) showed a statistically significant three-way interaction (p = 0.033) in addition to significant two-way interactions for culture and additive (p = 0.046) plus time and additive (p = 0.020). There were also significant effects observed for time (p = 0.009), culture (p = 0.030) and additive (p = 0.028). No effects were observed in the MS data. Conclusions: The results of our study showed the potential of VOC analysis using SPME combined with a GC-MS/MOS system for the early detection of CTX-M-producing, antibiotic-resistant E. coli, responsible for urinary tract infections (UTIs).
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 3, 2021 |
Online Publication Date | Sep 22, 2021 |
Publication Date | Sep 22, 2021 |
Deposit Date | Jul 14, 2022 |
Publicly Available Date | Sep 23, 2022 |
Journal | Advances in Medical Sciences |
Electronic ISSN | 1898-4002 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 67 |
Issue | 1 |
Pages | 1-9 |
DOI | https://doi.org/10.1016/j.advms.2021.09.001 |
Keywords | Volatile organic compounds; Gas chromatography-mass spectrometry; Metal-oxide sensor; Antibiotic resistance; Urinary tract infection |
Public URL | https://uwe-repository.worktribe.com/output/9491409 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S189611262100047X |
Files
Application of a solid-phase microextraction-gas chromatography-mass spectrometry/metal oxide sensor system for detection of antibiotic susceptibility in urinary tract infection-causing Escherichia coli – a proof of principle study
(493 Kb)
PDF
Licence
http://creativecommons.org/licenses/by-nc-nd/4.0/
Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
This is the author’s accepted manuscript. The final published version is available here: https://www.sciencedirect.com/science/article/pii/S189611262100047X?via%3Dihub
You might also like
Changes in attitudes towards telemedicine in acute burn care following the Covid-19 pandemic
(2024)
Journal Article
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