Rapid and sensitive immunodetection of Listeria monocytogenes in milk using a novel piezoelectric cantilever sensor

Harsh Sharma1, Raj Mutharasan

  • 1Department of Chemical & Biological Engineering, Drexel University, Philadelphia, PA 19104, USA.

Insights

This study presents a novel sensor for rapid Listeria monocytogenes (LM) detection in food and clinical samples. The sensor achieved detection at clinically relevant levels, offering a promising tool for foodborne pathogen surveillance.

Area of Science:

  • Food safety
  • Microbiology
  • Biosensor technology

Background:

  • Listeria monocytogenes (LM) is a significant foodborne pathogen with a high mortality rate.
  • Rapid and sensitive detection methods are crucial for preventing LM outbreaks.

Purpose of the Study:

  • To develop and validate a novel asymmetrically anchored cantilever sensor for LM detection.
  • To assess the sensor's performance in buffer and milk matrices.

Main Methods:

  • Utilized a novel asymmetrically anchored cantilever sensor with a commercially available antibody.
  • Employed secondary and tertiary antibody binding steps for signal amplification and enhanced sensitivity, mimicking sandwich ELISA principles.

Main Results:

  • Successfully detected LM within one hour at an infection dose limit of 10(3) cells/mL in buffer and milk.
  • Achieved detection at concentrations as low as 10(2) cells/mL with a three-antibody approach.
  • Identified low antibody avidity as a factor influencing LM detection sensitivity.

Conclusions:

  • The developed cantilever sensor demonstrates rapid and sensitive detection of Listeria monocytogenes.
  • The sensor shows potential for application in food safety and clinical diagnostics.
  • Further optimization, potentially involving higher avidity antibodies, could improve detection limits.