Emerging single-cell microfluidic technology for microbiology

Song, Y. , Yin, J., Huang, W. E., Li, B. and Yin, H. (2024) Emerging single-cell microfluidic technology for microbiology. Trends in Analytical Chemistry, 170, 117444. (doi: 10.1016/j.trac.2023.117444)

[img] Text
310004.pdf - Published Version
Available under License Creative Commons Attribution.

14MB

Abstract

Cell-to-cell differences exist ubiquitously in microbial communities. This individual heterogeneity, often manifested in cell phenotypic function (e.g., antibiotic resistance), can be critical in determining the fate of a microbial community. However, studying such heterogeneity in microbial communities remains a significant challenge due to their enormous diversity and complex cell-cell interactions. Here we review recent advances in microfluidic technologies for detecting, manipulating, and sorting microbial populations at the single-cell level, which significantly advanced our understanding of microbial behaviour and their roles in the microbial ecosystem. We will highlight microfluidic systems with label-free detection methods, including optical imaging and Raman spectroscopy, due to their advantages in investigating real-world microbial communities. We will showcase these technologies in emerging applications, including rapid diagnosis of pathogens and antibiotic resistance, chemotaxis, and Raman-activated cell sorting to search for natural microbial cells of desirable phenotypic function.

Item Type:Articles
Additional Information:We acknowledge the support from the EPSRC IAA (EP/X5257161/1 and EP/R511705/1) and InnovateUK (104984). WEH thank EPSRC (EP/M02833X/1) for instrumentation support, as well as finance support from EPSRC (EP/M002403/1) and international collaboration project between University of Oxford and Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences.
Keywords:Single-cell microfluidics, microbial communities, Raman spectroscopy, antibiotic resistance, droplet microfluidics.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Yin, Professor Huabing and Song, Dr Yanqing
Authors: Song, Y., Yin, J., Huang, W. E., Li, B., and Yin, H.
College/School:College of Science and Engineering > School of Engineering > Biomedical Engineering
Journal Name:Trends in Analytical Chemistry
Publisher:Elsevier
ISSN:0165-9936
ISSN (Online):1879-3142
Published Online:18 November 2023
Copyright Holders:Copyright © 2023 The Authors
First Published:First published in Trends in Analytical Chemistry 170:117444
Publisher Policy:Reproduced under a Creative Commons license

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
300137Impact Acceleration Account - University of Glasgow 2017Jonathan CooperEngineering and Physical Sciences Research Council (EPSRC)EP/R511705/1Research and Innovation Services
304354An integrated microfluidic single cell Raman technology for rapid diagnosis of pathogens and their antibiotic resistanceHuabing YinInnovate UK (INNOVATE)104984ENG - Biomedical Engineering