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Phage-Loaded Microfluidic Device for Selective Bacterium Detection with a High Potential for in-the-Field
Hamed Ghavami1, Christopher R Lambert2, Jessica Drozd2
1Department of Mechanical & Materials Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, Massachusetts 01609, United States.
ACS Applied Bio Materials
|April 14, 2026
Summary
A novel microfluidic biosensor rapidly detects foodborne bacteria like Salmonella enterica using bacteriophages. This technology offers a fast, specific, and point-of-use solution for food and water safety, overcoming limitations of traditional methods.
Area of Science:
- Biotechnology
- Biosensor Technology
- Food Safety Science
Background:
- Foodborne bacterial pathogens pose significant global public health risks.
- Conventional detection methods (e.g., PCR, ELISA) are sensitive but slow and labor-intensive.
- There is a critical need for rapid, point-of-use bacterial detection techniques.
Purpose of the Study:
- To develop a microfluidic biosensor for rapid and selective detection of Salmonella enterica.
- To leverage bacteriophage-loaded surfaces for enhanced bacterial capture and detection.
- To address limitations of conventional methods in food and water safety analysis.
Main Methods:
- Fabrication of a microfluidic biosensor using polydimethylsiloxane (PDMS) with microscale topographical roughness.
- Immobilization of P22 bacteriophages onto the PDMS surface to capture Salmonella enterica.
- Detection of bacteria under continuous flow conditions without requiring incubation.
Main Results:
- Achieved a limit of detection of 9.15 × 10^3 cells/mL for Salmonella enterica.
- Demonstrated high specificity, successfully differentiating Salmonella enterica from Staphylococcus aureus.
- Validated rapid detection capabilities under continuous flow, eliminating incubation time.
Conclusions:
- The developed microfluidic biosensor provides a rapid and selective method for detecting Salmonella enterica.
- The platform shows high potential for in-field applications and resource-limited settings.
- This technology offers a promising solution for real-world food and water safety monitoring.

