The University of Southampton
University of Southampton Institutional Repository

Monitoring live mycobacteria in real-time using a microfluidic acoustic-raman platform

Monitoring live mycobacteria in real-time using a microfluidic acoustic-raman platform
Monitoring live mycobacteria in real-time using a microfluidic acoustic-raman platform
Tuberculosis (TB) is the most common cause of death from an infectious disease. Although treatment has been available for more than 70 years, it still takes too long and many patients default risking relapse and the emergence of resistance. It is known that lipid-rich, phenotypically antibiotic-tolerant, bacteria are more resistant to antibiotics and may be responsible for relapse necessitating extended therapy. Using a microfluidic system that acoustically traps live mycobacteria, M. smegmatis, a model organism for M. tuberculosis we can perform optical analysis in the form of wavelength-modulated Raman spectroscopy (WMRS) on the trapped organisms. This system can allow observations of the mycobacteria for up to 8 h. By adding antibiotics, it is possible to study the effect of antibiotics in real-time by comparing the Raman fingerprints in comparison to the unstressed condition. This microfluidic platform may be used to study any microorganism and to dynamically monitor its response to many conditions including antibiotic stress, and changes in the growth media. This opens the possibility of understanding better the stimuli that trigger the lipid-rich downregulated and phenotypically antibiotic-resistant cell state.
1940-6029
109-119
Humana
Chen, Mingzhou
ca9498d2-9387-445e-89be-1d8a58fbe276
Baron, Vincent
b7b421c4-8825-4726-bc21-c8267f4222b7
Hammarstrom, Bjorn
c1f33fd2-4031-4ec7-b36a-ec3aff48c164
Hammond, Robert J. H.
ee25b7b3-4cbd-44f6-836f-7b201392fda1
Glynne-Jones, Peter
6ca3fcbc-14db-4af9-83e2-cf7c8b91ef0d
Gillespie, Stephen H.
cce81e04-6067-4050-a284-9830ad6bd9a9
Dholakia, Kishan
c649b0a9-ab68-4571-b8c7-e84553d14174
Gillespie, S.H.
Chen, Mingzhou
ca9498d2-9387-445e-89be-1d8a58fbe276
Baron, Vincent
b7b421c4-8825-4726-bc21-c8267f4222b7
Hammarstrom, Bjorn
c1f33fd2-4031-4ec7-b36a-ec3aff48c164
Hammond, Robert J. H.
ee25b7b3-4cbd-44f6-836f-7b201392fda1
Glynne-Jones, Peter
6ca3fcbc-14db-4af9-83e2-cf7c8b91ef0d
Gillespie, Stephen H.
cce81e04-6067-4050-a284-9830ad6bd9a9
Dholakia, Kishan
c649b0a9-ab68-4571-b8c7-e84553d14174
Gillespie, S.H.

Chen, Mingzhou, Baron, Vincent, Hammarstrom, Bjorn, Hammond, Robert J. H., Glynne-Jones, Peter, Gillespie, Stephen H. and Dholakia, Kishan (2024) Monitoring live mycobacteria in real-time using a microfluidic acoustic-raman platform. In, Gillespie, S.H. (ed.) Antibiotic Resistance Protocols. (Methods in Molecular Biology, 2833) Humana, pp. 109-119. (doi:10.1007/978-1-0716-3981-8_11).

Record type: Book Section

Abstract

Tuberculosis (TB) is the most common cause of death from an infectious disease. Although treatment has been available for more than 70 years, it still takes too long and many patients default risking relapse and the emergence of resistance. It is known that lipid-rich, phenotypically antibiotic-tolerant, bacteria are more resistant to antibiotics and may be responsible for relapse necessitating extended therapy. Using a microfluidic system that acoustically traps live mycobacteria, M. smegmatis, a model organism for M. tuberculosis we can perform optical analysis in the form of wavelength-modulated Raman spectroscopy (WMRS) on the trapped organisms. This system can allow observations of the mycobacteria for up to 8 h. By adding antibiotics, it is possible to study the effect of antibiotics in real-time by comparing the Raman fingerprints in comparison to the unstressed condition. This microfluidic platform may be used to study any microorganism and to dynamically monitor its response to many conditions including antibiotic stress, and changes in the growth media. This opens the possibility of understanding better the stimuli that trigger the lipid-rich downregulated and phenotypically antibiotic-resistant cell state.

This record has no associated files available for download.

More information

Published date: 2 July 2024

Identifiers

Local EPrints ID: 500605
URI: http://eprints.soton.ac.uk/id/eprint/500605
ISSN: 1940-6029
PURE UUID: beb3605b-ce2c-44e7-971a-b49b834a6a45
ORCID for Peter Glynne-Jones: ORCID iD orcid.org/0000-0001-5684-3953

Catalogue record

Date deposited: 07 May 2025 16:32
Last modified: 10 May 2025 01:38

Export record

Altmetrics

Contributors

Author: Mingzhou Chen
Author: Vincent Baron
Author: Bjorn Hammarstrom
Author: Robert J. H. Hammond
Author: Stephen H. Gillespie
Author: Kishan Dholakia
Editor: S.H. Gillespie

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×