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Artificial Intelligence-Based Imaging Transcoding System for Multiplex Screening of Viable Foodborne Pathogens.

Niu Feng1, Shu Wang2, Luyu Wei1

  • 1College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China.

Analytical Chemistry
|May 26, 2023
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Summary
This summary is machine-generated.

A new sensing method using artificial intelligence transcoding (SMART) rapidly detects multiple viable foodborne pathogens in eggs. This AI-powered assay distinguishes live from dead bacteria, improving food safety without DNA amplification.

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Area of Science:

  • Food safety and public health
  • Microbiology
  • Artificial Intelligence

Background:

  • Multiplex detection of viable foodborne pathogens is crucial but current methods face challenges.
  • Existing assays often involve trade-offs in cost, complexity, sensitivity, and specificity.
  • Distinguishing between live and dead bacteria remains a significant hurdle in pathogen detection.

Purpose of the Study:

  • To develop a rapid, sensitive, and multiplexed assay for foodborne pathogen detection.
  • To utilize artificial intelligence for enhanced pathogen profiling.
  • To enable discrimination between live and dead bacteria in food samples.

Main Methods:

  • Developed a sensing method using artificial intelligence transcoding (SMART).
  • Employed programmable polystyrene (PS) microspheres for pathogen encoding and signal generation.
  • Utilized AI-computer vision trained to decode PS microsphere properties for pathogen identification.
  • Integrated phage-guided targeting for live/dead bacteria discrimination.

Main Results:

  • Achieved rapid, simultaneous detection of multiple bacteria from egg samples at levels below 10^2 CFU/mL.
  • Demonstrated high sensitivity and specificity without the need for DNA amplification.
  • Showed strong consistency with standard microbiologic and genotypic detection methods.
  • Successfully differentiated between live and dead bacteria using the developed assay.

Conclusions:

  • The SMART assay offers a novel, efficient approach for multiplexed detection of viable foodborne pathogens.
  • This AI-driven method overcomes limitations of existing assays, enhancing food safety diagnostics.
  • The ability to distinguish live from dead bacteria provides critical insights for public health risk assessment.