Abstract
To combat antibiotic resistance, a rapid antibiotic susceptibility testing (AST) technology that can identify resistant infections at disease onset is required. Current clinical AST technologies take 1-3 days, which is often too slow for accurate treatment. Here we demonstrate a rapid AST method by tracking sub-μm scale bacterial motion with an optical imaging and tracking technique. We apply the method to clinically relevant bacterial pathogens, Escherichia coli O157: H7 and uropathogenic E. coli (UPEC) loosely tethered to a glass surface. By analyzing dose-dependent sub-μm motion changes in a population of bacterial cells, we obtain the minimum bactericidal concentration within 2 h using human urine samples spiked with UPEC. We validate the AST method using the standard culture-based AST methods. In addition to population studies, the method allows single cell analysis, which can identify subpopulations of resistance strains within a sample.
Original language | English (US) |
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Pages (from-to) | 1231-1239 |
Number of pages | 9 |
Journal | ACS sensors |
Volume | 2 |
Issue number | 8 |
DOIs | |
State | Published - Aug 25 2017 |
Keywords
- antibiotic resistant
- bacterial motion
- bacterial viability
- imaging diagnostics
- microscopic urinalysis
- rapid antimicrobial susceptibility test
ASJC Scopus subject areas
- Bioengineering
- Instrumentation
- Process Chemistry and Technology
- Fluid Flow and Transfer Processes