Scientists from Penn State and the National Aeronautics and Space Administration’s Goddard Space Flight Center have developed an electronic tongue that can identify differences in similar liquids, such as milk with varying water content; different soda types and coffee blends; and signs of spoilage in fruit juices. The researchers also found that results were more accurate when artificial intelligence (AI) used its own assessment parameters to interpret the data generated by the electronic tongue. The tongue contains a graphene-based ion-sensitive field-effect transistor – a conductive device that can detect chemical ions – that is linked to an artificial neural network trained on various datasets.
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