Abstract
Antibiotic resistance threatens global public health. Clinical methods that simplify and accelerate resistance diagnosis are urgently needed. Here we describe a function-based antibiotic resistance detection and classification strategy to improve diagnosis. The method identifies resistance enzymes by directly measuring the thermal signal generated when an antibiotic i enzymatically degraded. A substrate specificity profile is created by analyzing a panel of antibiotics. Here we show proof of principle by differentiating two antibiotic resistance enzymes based on their substrate specificities profiles. The method provides a fast, simple, cost effective alternative for diagnosing and classifying antibiotic resistance.
Original language | English |
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Pages (from-to) | 33-34 |
Number of pages | 2 |
Journal | Procedia Technology |
Volume | 27 |
DOIs | |
Publication status | Published - 2017 |
Subject classification (UKÄ)
- Biochemistry and Molecular Biology
Free keywords
- β-lactamase
- Antibiotics
- Antibiotic resistance
- Profiling
- Thermal biosensor