The device not only “feels”, but also works under high moisture conditions, such as real taste receptors in the mouth.
The sensor was built on graphene oxide in a nanofluid structure. It combines a sensitive item and the information process module into a single system – it makes it more compact and faster than traditional artificial artificial “languages”.
For training, 160 chemical compounds corresponding to the main tastes were used: sweet, salty, sour and pain. The system, which uses machine learning, remembered how each affects the conductivity of the material.
The result is 98.5% of accuracy by recognizing familiar tastes and up to 75% to 90% in new ones. He even cope with complex pleasures such as sensor, coffee and cola.
Scientists believe that in the future, technology can help people who lose their tastes after a stroke or illness, and can find use in food industry and robotics.
Source: Ferra
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