Researchers recently developed electronic tongue capable of identifying differences in similar liquids, such as milk with varying water content; diverse products, including soda types and coffee blends; signs of spoilage in fruit juices; and instances of food safety concerns. They found that results were even more accurate when artificial intelligence used its own assessment parameters to interpret the data generated by the electronic tongue.
Geigermeter News Magazine