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Related Concept Videos

Automated Microbial Diagnostics01:24

Automated Microbial Diagnostics

Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...

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Stress-induced Antibiotic Susceptibility Testing on a Chip
12:41

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Published on: January 8, 2014

A multiplexed microfluidic platform for rapid antibiotic susceptibility testing.

Ritika Mohan1, Arnab Mukherjee, Selami E Sevgen

  • 1Department of Chemical & Biomolecular Engineering, University of Illinois at Urbana-Champaign, 600 South Mathews Avenue, Urbana, IL 61801, USA.

Biosensors & Bioelectronics
|June 4, 2013
PubMed
Summary
This summary is machine-generated.

This study presents a rapid microfluidic biosensor for antibiotic susceptibility testing, enabling quick identification of pathogen antibiograms. The platform offers high sensitivity and minimal reagent use, improving clinical infection management.

Keywords:
Antibiotic susceptibility testingFluorescence detectionGreen fluorescent protein (GFP)MicrofluidicsMultiplexed sensor

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Area of Science:

  • Biomedical Engineering
  • Microfluidics
  • Infectious Disease Diagnostics

Background:

  • Effective treatment of clinical infections requires rapid identification of pathogen antibiograms.
  • Current antibiotic susceptibility testing methods are slow, consume excess resources, and have limited sensitivity.
  • These limitations complicate infection management and contribute to antibiotic resistance.

Purpose of the Study:

  • To develop a highly sensitive and rapid microfluidic platform for antibiotic susceptibility testing.
  • To overcome the limitations of conventional diagnostic methods.
  • To enable timely and precise clinical guidance for antibiotic therapy.

Main Methods:

  • Development of a microfluidic platform utilizing fluorescence detection of green fluorescent protein-expressing bacteria.
  • Quantification of antibiotic effects on Escherichia coli using four antibiotics and their combinations.
  • Analysis of bacterial susceptibility by monitoring fluorescence intensity over time.

Main Results:

  • The microfluidic platform provides antibiotic susceptibility results within two to four hours.
  • Achieved enhanced detection sensitivity (approximately 1 cell) with minimal sample and reagent consumption (<6 µL).
  • Demonstrated that combinations of three or more antibiotics are not necessarily superior to pairs for pathogen eradication.

Conclusions:

  • The developed microfluidic biosensor offers a rapid, sensitive, and portable solution for antibiotic susceptibility testing.
  • This technology has the potential to significantly improve clinical decision-making in managing infections.
  • Optimized antibiotic treatment strategies by revealing insights into combination therapy efficacy.