McGill University researchers have developed an AI-powered method to verify the origin of honey, ensuring that what’s on the label matches what’s in the jar.
McGill University researchers have developed an AI-powered method to verify the origin of honey, ensuring that what’s on the label matches what’s in the jar. The breakthrough offers a potential solution to a long-standing problem.
“Honey is one of the most fraud-prone commodities in global trade. It often involves mislabelling where it was produced or the types of flowers that bees collected nectar from,” said lead author Stéphane Bayen, Associate Professor and Chair of McGill’s Department of Food Science and Agricultural Chemistry.
Honeys made from a single flower are often more expensive, prized for their unique flavours and potential health benefits.
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Stéphane Bayen analyzed honey samples to verify their origin as part of a new study published in Analytical Chemistry. (Photo Credit: McGill University
