Emerging single-cell microfluidic technology for microbiology

被引:4
作者
Song, Yanqing [1 ]
Yin, Jianan [2 ]
Huang, Wei E. [3 ]
Li, Bei [4 ]
Yin, Huabing [1 ]
机构
[1] Univ Glasgow, Div Biomed Engn, Sch Engn, Glasgow G12 8LT, Scotland
[2] Tianjin Univ, Sch Chem Engn & Technol, Key Lab Syst Bioengn, Tianjin, Peoples R China
[3] Univ Oxford, Dept Engn Sci, Parks Rd, Oxford OX1 3PJ, England
[4] Chinese Acad Sci, State Key Lab Appl Opt, Changchun Inst Opt Fine Mech & Phys, Changchun 130033, Peoples R China
基金
英国工程与自然科学研究理事会; “创新英国”项目;
关键词
Single-cell microfluidics; Microbial communities; Raman spectroscopy; Antibiotic resistance; Droplet microfluidics; BACTERIAL CHEMOTAXIS; HIGH-THROUGHPUT; SUSCEPTIBILITY; GROWTH; DEVICE; CULTIVATION; CHEMOSTAT; PLATFORM; ASSAY; IDENTIFICATION;
D O I
10.1016/j.trac.2023.117444
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
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页数:17
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