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Published on: February 14, 2022
Adaptable microfluidic system for single-cell pathogen classification and antimicrobial susceptibility testing
Hui Li1, Peter Torab2, Kathleen E Mach3
1Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802.
A new microfluidic system rapidly classifies bacterial pathogens and determines antimicrobial susceptibility (AST) at the single-cell level within 30 minutes. This innovation aids prompt infection treatment and antibiotic stewardship.
Area of Science:
- Microbiology
- Biotechnology
- Medical Diagnostics
Background:
- Bacterial infections cause significant global morbidity and mortality.
- Rapid diagnostics are crucial for effective treatment and antibiotic stewardship.
- Current antimicrobial susceptibility testing (AST) methods are time-consuming.
Purpose of the Study:
- To develop and validate an adaptable microfluidic system for rapid pathogen classification and AST.
- To enable single-cell level analysis for precise bacterial identification and susceptibility determination.
- To reduce the time required for microbiological analysis from days to minutes.
Main Methods:
- Utilized a microfluidic system with tunable valves and real-time optical detection.
- Trapped bacteria for classification based on physical characteristics (shape, size).
- Monitored bacterial growth in the presence of antibiotics at the single-cell level for AST.
Main Results:
- The microfluidic system achieved 100% sensitivity and 83.33% specificity for pathogen classification.
- Demonstrated 100% concordance for antimicrobial susceptibility testing (AST).
- Successfully detected pathogens in various sample types, including urine, blood cultures, and whole blood, including polymicrobial samples.
Conclusions:
- The microfluidic platform offers rapid, single-cell level pathogen classification and AST.
- This technology significantly shortens diagnostic timelines compared to standard methods.
- The system shows high potential for clinical application in diagnosing and managing bacterial infections.
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