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AI and Biotechnology to Combat Aflatoxins: Future Directions for Modern Technologies in Reducing Aflatoxin Risk.

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New technologies like generative artificial intelligence (AI) and biotechnology offer solutions to control aflatoxin contamination in food. These innovations can reduce fungal infections and improve food safety across the supply chain.

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Area of Science:

  • Food Safety
  • Mycology
  • Biotechnology
  • Artificial Intelligence

Background:

  • Aflatoxin contamination, caused by *Aspergillus flavus* and *A. parasiticus* fungi, is a persistent food safety challenge.
  • Current control methods have limited effectiveness in mitigating aflatoxin risks throughout the food supply chain.

Purpose of the Study:

  • To explore the potential of generative artificial intelligence (AI) and modern biotechnology in controlling aflatoxin contamination.
  • To discuss the application of these technologies along the food supply chain to reduce aflatoxin risk.

Main Methods:

  • Review of existing and emerging generative AI and biotechnology applications.
  • Analysis of regulatory landscapes impacting the deployment of these technologies.
  • Discussion of strategies for safe and effective implementation.

Main Results:

  • Generative AI and biotechnology present promising solutions for reducing fungal infection and aflatoxin levels.
  • Regulatory frameworks show varying stringency, with AI currently facing fewer restrictions than biotechnology in some regions.

Conclusions:

  • Harnessing AI and biotechnology offers a significant opportunity to enhance food safety by combating aflatoxin contamination.
  • Continued research and development are crucial for optimizing these technologies to precisely and rapidly address aflatoxin risks.