Projects per year
Abstract
There is an urgent need to develop novel methods for assessing the response of bacteria to antibiotics in a timely manner. Antibiotics are traditionally assessed via their effect on bacteria in a culture medium, which takes 24-48 h and exploits only a single parameter, i.e. growth. Here, we present a multiparameter approach at the single-cell level that takes approximately an hour from spiking the culture to correctly classify susceptible and resistant strains. By hydrodynamically trapping hundreds of bacteria, we simultaneously monitor the evolution of motility and morphology of individual bacteria upon drug administration. We show how this combined detection method provides insights into the activity of antimicrobials at the onset of their action which single parameter and traditional tests cannot offer. Our observations complement the current growth-based methods and highlight the need for future antimicrobial susceptibility tests to take multiple parameters into account.
Original language | English |
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Pages (from-to) | 1417-1426 |
Number of pages | 10 |
Journal | Lab on a Chip |
Volume | 19 |
Issue number | 8 |
DOIs | |
Publication status | Published - 14 Mar 2019 |
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Dive into the research topics of 'Multiparameter antibiotic resistance detection based on hydrodynamic trapping of individual E. coli'. Together they form a unique fingerprint.Projects
- 1 Finished
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EPSRC Targeted; Trapping bacteria efficiently to inform treatment of urinary tract infection using microfluidic chips: mathematical modelling and observational study
Gadelha, H. (Principal Investigator) & Krauss, T. (Principal Investigator)
1/08/06 → 30/04/17
Project: Research
Profiles
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Dr Hermes Gadelha
- School of Engineering Mathematics and Technology - Senior Lecturer in Mathematical and Data Modelling
- Infection and Immunity
Person: Academic , Member