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Label-Free Electrochemical Microfluidic Chip for the Antimicrobial Susceptibility Testing
Hyoil Jeon1, Zeeshan A Khan1, Emad Barakat1
1School of Mechanical Engineering, Korea University of Technology and Education, Cheonan, Chungnam 31253, Korea.
Antibiotics (Basel, Switzerland)
|June 25, 2020
Summary
This study introduces an automated electrochemical microfluidic chip (EMC) for rapid antibiotic susceptibility testing (AST). The EMC significantly reduces testing time compared to conventional methods, aiding in timely treatment and combating antibiotic resistance.
Area of Science:
- Biomedical Engineering
- Clinical Diagnostics
- Microfluidics
Background:
- Antibiotic resistance is a critical global health threat.
- Current antibiotic susceptibility testing (AST) methods are often slow, complex, and costly.
- There is a need for rapid, automated, and user-friendly AST solutions.
Purpose of the Study:
- To develop an automated electrochemical microfluidic chip (EMC) for simple and rapid AST.
- To enable faster bacterial count and minimum inhibitory concentration (MIC) determination.
- To reduce the time and resources required for AST.
Main Methods:
- Design and fabrication of a microfluidic chip with integrated gold microelectrodes.
- Automation of antibiotic mixing and distribution within microfluidic chambers.
- Electrical signal measurements for bacterial detection and AST.
- Comparison with conventional broth microdilution and AlamarBlue assays.
Main Results:
- The EMC achieved rapid bacterial count in 170 minutes and AST in 150 minutes.
- Testing time was significantly reduced compared to conventional broth microdilution (450 min for count, 240 min for AST).
- Accurate MIC evaluation was demonstrated on the EMC, comparable to established methods.
- The chip showed sensitivity, minimal antibiotic loss, and potential for reducing resistance evolution.
Conclusions:
- An automated, label-free, economical, and rapid EMC for AST has been successfully developed.
- The EMC offers a user-friendly and robust platform for evaluating AST, particularly in urine samples.
- This technology has the potential to improve patient treatment and control the spread of antibiotic resistance.
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