Rapid AI Technology Detects Hazardous Food Contamination

An international research team led by the University of South Australia has developed an innovative approach to detecting dangerous mycotoxins in food using hyperspectral imaging (HSI) combined with machine learning (ML). Mycotoxins, produced by fungi, cause serious health issues and contribute to global foodborne illnesses, affecting millions annually. This new method promises a rapid, non-destructive way to analyze food samples, particularly cereal grains and nuts, which are highly susceptible to contamination. Findings indicate that HSI integrated with ML significantly outperforms traditional detection methods, especially for carcinogenic compounds like aflatoxin B1. The technology offers potential for real-time application in food processing and aims to enhance food safety worldwide. Researchers are now focused on refining the technique for improved accuracy and reliability, supported by the Australian government’s Research Training Program and funding from SureNut Australia.

Rapid AI Technology Detects Hazardous Food Contamination

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