A Biosensing Strategy for Fast Profiling of Antibiotic Resistance
(2017) In Procedia Technology 27. p.33-34- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/6574fd14-e824-4883-bac2-defd5ca731c0
- author
- Mecklenburg, Michael ; Chen, Qun LU ; Andersson, Anneli LU and Xie, Bin LU
- organization
- publishing date
- 2017
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- β-lactamase, Antibiotics, Antibiotic resistance, Profiling, Thermal biosensor
- in
- Procedia Technology
- volume
- 27
- pages
- 2 pages
- publisher
- Elsevier
- ISSN
- 2212-0173
- DOI
- 10.1016/j.protcy.2017.04.016
- language
- English
- LU publication?
- yes
- id
- 6574fd14-e824-4883-bac2-defd5ca731c0
- date added to LUP
- 2021-10-26 12:53:22
- date last changed
- 2021-10-28 10:50:25
@article{6574fd14-e824-4883-bac2-defd5ca731c0, 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.}}, author = {{Mecklenburg, Michael and Chen, Qun and Andersson, Anneli and Xie, Bin}}, issn = {{2212-0173}}, keywords = {{β-lactamase; Antibiotics; Antibiotic resistance; Profiling; Thermal biosensor}}, language = {{eng}}, pages = {{33--34}}, publisher = {{Elsevier}}, series = {{Procedia Technology}}, title = {{A Biosensing Strategy for Fast Profiling of Antibiotic Resistance}}, url = {{http://dx.doi.org/10.1016/j.protcy.2017.04.016}}, doi = {{10.1016/j.protcy.2017.04.016}}, volume = {{27}}, year = {{2017}}, }