Droplet-based methods for tackling antimicrobial resistance

被引：12

作者：

Ruszczak, Artur ^{[1
]}

Bartkova, Simona ^{[2
]}

Zapotoczna, Marta ^{[3
]}

Scheler, Ott ^{[2
]}

Garstecki, Piotr ^{[1
]}

机构：

[1] Polish Acad Sci, Inst Phys Chem, Kasprzaka 44-52, PL-01224 Warsaw, Poland

[2] Tallinn Univ Technol TalTech, Dept Chem & Biotechnol, Akad Tee 15, EE-12618 Tallinn, Estonia

[3] Univ Warsaw, Fac Biol, Biol & Chem Res Ctr, Dept Mol Microbiol,Inst Microbiol, Zwirki & Wigury 101, PL-101 Warsaw, Poland

来源：

CURRENT OPINION IN BIOTECHNOLOGY | 2022年 / 76卷

关键词：

ANTIBIOTIC-RESISTANCE; SUSCEPTIBILITY; IMAGE;

D O I：

10.1016/j.copbio.2022.102755

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Application of droplet-based methods enables (i) faster detection, (ii) increased sensitivity, (iii) characterization of the level of heterogeneity in response to antibiotics by bacterial populations, and (iv) expanded screening of the effectiveness of antibiotic combinations. Hereby, we discuss the key steps and parameters of droplet-based experiments to investigate antimicrobial resistance. We also review recent findings accomplished with these methods and highlight their advantages and capacity to yield new insights into the problem of antimicrobial resistance.

引用

页数：8

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