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Stress-induced Antibiotic Susceptibility Testing on a Chip
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Rapid antibiotic susceptibility testing in a microfluidic pH sensor.

Yanyan Tang1, Li Zhen, Jingqing Liu

  • 1Institute of Microanalytical System, Zhejiang University, Hangzhou, 310058, China.

Analytical Chemistry
|January 31, 2013
PubMed
Summary

This study introduces a novel microfluidic pH sensor for rapid antibiotic susceptibility testing (AST). The device enables bacterial growth monitoring in under two hours, significantly reducing detection time for faster clinical decisions.

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Area of Science:

  • Biomedical Engineering
  • Microfluidics
  • Biosensing

Background:

  • Rapid antibiotic susceptibility testing (AST) is crucial for effective pathogen infection treatment.
  • Conventional AST methods are time-consuming, delaying appropriate antibiotic selection.
  • There is an urgent clinical need for faster diagnostic tools.

Purpose of the Study:

  • To develop and utilize a microfluidic pH sensor for rapid bacterial growth monitoring.
  • To enable faster antibiotic susceptibility testing (AST) for clinical applications.
  • To provide a platform for rapid determination of minimal inhibition concentration (MIC).

Main Methods:

  • Fabrication of a microfluidic pH sensor integrating chitosan hydrogel with PDMS channels on a porous silicon chip.
  • Utilizing Fourier transform reflectometric interference spectroscopy (FT-RIFS) to monitor pH-induced chitosan swelling in real-time.
  • Confining bacterial cells in nanoliter channels to accelerate metabolic product accumulation.

Main Results:

  • The microfluidic pH sensor enabled real-time monitoring of bacterial growth and pH changes.
  • Bacterial growth curves were obtained in less than 2 hours, facilitating rapid AST.
  • The system demonstrated potential for rapid minimal inhibition concentration (MIC) determination.

Conclusions:

  • The developed microfluidic pH sensor offers a rapid and efficient method for AST.
  • This technology significantly reduces detection time compared to conventional methods.
  • The sensor has potential applications in clinical diagnostics and point-of-care medicine.