Naked-Eye Detection of Food-Borne Pathogens Using Multiplex Hyperbranched Rolling Circle Amplification and Magnetic

Congli Tang1, Hongna Liu1, Wenjing Pan1

  • 1Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China.

Biosensors
|December 23, 2022
PubMed

Insights

A novel assay enables naked-eye detection of foodborne pathogens by visualizing magnetic particle clusters formed through hyperbranched rolling circle amplification. This method offers a sensitive and visual approach for food safety pathogen detection.

Area of Science:

  • Food safety
  • Molecular diagnostics
  • Public health

Background:

  • Foodborne pathogens pose significant public health risks globally.
  • Existing pathogen detection methods face limitations in meeting current demands for speed and sensitivity.
  • There is a need for innovative diagnostic tools for effective food safety monitoring.

Purpose of the Study:

  • To develop a novel, visually detectable assay for foodborne pathogens.
  • To enable naked-eye visualization of pathogen detection.
  • To establish a sensitive and rapid method for molecular diagnosis.

Main Methods:

  • Utilized padlock probes that form closed-loop molecules upon target gene binding.
  • Employed hyperbranched rolling circle amplification (HRCA) initiated by universal primers and ring padlock probes.
  • Integrated magnetic particles for irreversible entanglement with amplification products, forming visible clusters.

Main Results:

  • Achieved naked-eye visualization of pathogen detection through magnetic particle aggregation.
  • Demonstrated successful application in detecting five foodborne pathogens: EHEC, ETEC, EPEC, EIEC, and E. coli.
  • Established sensitive detection limits ranging from 1x10^2 to 1x10^4 CFU/mL for the tested pathogens.

Conclusions:

  • The developed assay provides a sensitive and visually intuitive method for foodborne pathogen detection.
  • The technique facilitates multiplex automatic nucleic acid detection.
  • This approach holds significant potential for advancing molecular diagnostics in food safety applications.

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