A new device uses a graphene-derived material combined with machine learning to detect various tastes: salty, bitter, sweet, and sour. This technology could help individuals with neurological conditions restore lost taste senses. The innovative system operates in wet conditions similar to the human mouth and is built on layers of graphene oxide, which changes electrical conductivity when it interacts with different chemicals. Researchers trained the device to recognize flavors linked to certain chemical structures, simulating the brain's processing of taste signals. Further development is needed before clinical application can be realized.
The system combines a graphene-derived material with machine learning to detect salty, bitter, sweet, and sour flavors, potentially restoring taste for those with neurological conditions.
The device can operate in wet conditions similar to the human mouth, crucial for accurately detecting flavors in real-life scenarios.
Graphene oxide acts as a taste sensor, measuring changes in electrical conductivity when interacting with different chemicals, enabling taste recognition.
The researchers trained the device using sample chemicals to perceive flavors tied to distinct chemical structures, simulating how our brains process taste.
#graphene-technology #machine-learning #taste-restoration #neurological-conditions #chemical-sensors
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