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Updated: May 13, 2026

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Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria
Published on: May 8, 2013
Detection of ESBL among AmpC producing enterobacteriaceae using inhibitor-based method
Sasirekha Bakthavatchalu1, Uma Shakthivel, Tannu Mishra
1Department of Microbiology, Centre for Post Graduate Studies, Jain University, Bangalore, Karnataka--560 011, India.
The Pan African Medical Journal
|March 19, 2013
Summary
Boronic acid disk testing accurately detects bacteria producing both AmpC and extended-spectrum beta-lactamases (ESBLs). This simple method aids in identifying co-infections, improving therapeutic options against resistant bacteria.
Area of Science:
- Microbiology
- Clinical Diagnostics
- Antimicrobial Resistance
Background:
- Multiple beta-lactamases in bacteria limit treatment options and present diagnostic challenges.
- Boronic acid (BA) is an AmpC enzyme inhibitor investigated for detecting co-expression of AmpC and ESBLs.
Purpose of the Study:
- To evaluate the efficacy of different phenotypic methods for detecting ESBL and AmpC production.
- To assess the utility of boronic acid in identifying co-producing bacterial isolates.
Main Methods:
- Screened 259 Enterobacteriaceae isolates for ESBL and AmpC production using CLSI double-disk diffusion, cefepime-clavulanic acid, and boronic disk potentiation methods.
- AmpC detection involved cefoxitin alone and with boronic acid, confirmed by three-dimensional disk methods.
- Antibiotic susceptibility testing was performed on all isolates.
Main Results:
- 20.46% of isolates were co-producers of ESBL and AmpC; 26.45% produced ESBL only, and 5.40% produced AmpC only.
- The boronic acid disk potentiation method accurately identified all 53 co-producing isolates.
- The study compared various phenotypic methods for detecting these enzyme types.
Conclusions:
- The boronic acid disk test, following CLSI guidelines, is a simple, highly efficient method for detecting isolates with both AmpC and ESBL co-production.
- This method aids in accurate identification, potentially guiding antimicrobial therapy choices.

