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A Self-Calibrating Chemiluminescence Sensor for Rapid and Precise Antibiotic Prescribing Guidelines on Urinary Tract
Quan-Quan Zhuang1,2, Lin-Yan Lu1,2, Yu-Ling Lin3
1Quanzhou Clinical Medication Management Quality Control Center, Department of Pharmacy, Affiliated Quanzhou First Hospital of Fujian Medical University, Quanzhou 362000, China.
ACS Sensors
|March 7, 2025
Summary
A new chemiluminescence sensor rapidly determines antibiotic susceptibility in urine samples within 40 minutes. This method offers a fast, accurate alternative to traditional antimicrobial-susceptibility testing (AST) for guiding treatment decisions.
Area of Science:
- Biomedical Engineering
- Clinical Diagnostics
- Microbiology
Background:
- Traditional antimicrobial-susceptibility testing (AST) is time-consuming and costly.
- Rapid, user-friendly phenotypic AST is crucial for effective treatment strategies.
- Accurate bacterial quantification is a challenge in current rapid AST methods.
Purpose of the Study:
- To develop a rapid, self-calibrating chemiluminescence sensor for phenotypic AST.
- To measure bacterial viability via catalase activity in response to antibiotics.
- To enable direct AST from clinical urine samples without bacterial quantification.
Main Methods:
- Utilized a chemiluminescence-based analytical method coupled with catalase activity detection.
- Employed a nanosensor platform to measure bacterial response to hydrogen peroxide after antibiotic treatment.
- Tested the sensor on uropathogenic *Escherichia coli* and *Klebsiella pneumoniae* in clinical urine samples.
Main Results:
- The sensor accurately determined antibiotic susceptibility within 40 minutes.
- The method does not require bacterial quantification for reliable results.
- Demonstrated effectiveness for common uropathogens causing urinary tract infections.
Conclusions:
- The developed ultrafast AST platform provides accurate results.
- This technology can precisely guide antibiotic prescriptions.
- Shortens clinical decision-making time for urinary tract infections.
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