Robotics & Machine Learning Daily News2024,Issue(Sep.10) :75-75.

Study Data from University of Dar es Salaam Update Understanding of Artificial I ntelligence (Technologies To Decontaminate Aflatoxins In Foods: a Review)

Robotics & Machine Learning Daily News2024,Issue(Sep.10) :75-75.

Study Data from University of Dar es Salaam Update Understanding of Artificial I ntelligence (Technologies To Decontaminate Aflatoxins In Foods: a Review)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Artificial Intelligence are presented in a new report. According to news reporting originating in Dar Es Salaam, Tanzania, by NewsRx journalists, research stated, "Aflatoxins are toxic secondary metabolites produced by Aspergillus spp., found in staple food commod ities. Aflatoxins are carcinogenic, teratogenic, and mutagenic and pose a seriou s threat to the health of humans." Financial support for this research came from University of Dar es Salaam. The news reporters obtained a quote from the research from the University of Dar es Salaam, "The identification and quantification of aflatoxins in foods is a m ajor challenge to guarantee food safety. Therefore, developing feasible, sensiti ve, and robust methods for decontamination is paramount, with short processing t ime and negligible impact on quality. This review evaluates recent novel technol ogies for aflatoxins decontamination by physical methods (microwave heating, Gam a and electron beam irradiation, pulse light and ultraviolet), chemical methods (ozone, natural plant extracts, and organic acids), and biological methods (atox igenic Aspergillus strains, Trichoderma spp., and bacteria and yeast). The study highlights on the cutting-edge technologies of smart packaging and artificial i ntelligence (AI). To achieve more efficiency and adaptability to different food matrices in aflatoxins decontamination, the study suggests integrating multiple strategies. The study also recommends integrating Partnership for Delivery (P4D) to share the responsibility to increase the chance for success and control aflatoxins in foods. This review evaluates recent novel technologies for aflatoxins decontamination by physical method (microwave heating, Gama and electron beam ir radiation, pulse light and ultraviolet), chemical method (ozone, natural plant e xtracts, and organic acids), and biological method (atoxigenic Aspergillus strai ns, Trichoderma spp., and bacteria and yeast)."

Key words

Dar Es Salaam/Tanzania/Africa/Aflatox ins/Artificial Intelligence/Biological Factors/Emerging Technologies/Machine Learning/Mycotoxins/Technology/University of Dar es Salaam

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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