Scientists have developed an advanced AI technology capable of rapidly and easily detecting toxic substances in food, a breakthrough that could save millions of lives worldwide.
The newly discovered method enables swift and non invasive detection of harmful contaminants in food, potentially preventing illnesses and deaths caused by contaminated meals.
Led by the University of South Australia, an international team combined hyperspectral imaging with machine learning to create an AI system that can efficiently identify dangerous mycotoxins toxic compounds produced by fungi in crops that pose serious health risks to humans.
According to the World Health Organization (WHO), contaminated food sickens around 60 million people and claims 4.2 million lives globally each year. Currently, detection methods rely on expensive and time consuming laboratory tests, delaying timely action.
What makes this technology revolutionary is its speed, affordability, and ability to deliver instant results without damaging the food. This means contaminated products can be intercepted before reaching consumers.
Experts believe the innovation will significantly improve food safety and help reduce foodborne illnesses worldwide.
