Researchers design a graphene-based 'electronic tongue' that detects liquid differences, spoilage, and food safety with AI accuracy

Researchers from Penn State University and NASA Goddard Space Flight Center recently developed an 'electronic tongue' based on a graphene-based ion-sensitive field-effect transistor, 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. The team also found that results were even more accurate when artificial intelligence (AI) used its own assessment parameters to interpret the data generated by the electronic tongue.