Coca-Cola and Pepsi-Cola distinction AI 'Tongue' Developed Food Freshness Measurement Available
Oct 22, 2024
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According to foreign media such as the New York Post, researchers at Pennsylvania State University have developed graphene 'tongue' that uses AI to distinguish subtle differences between drinks.
Graphene has long been studied with chemical sensors, but it has not been able to be used very reliably due to minute differences between devices.
Accordingly, the research team solved this problem by training AI to distinguish differences in similar liquids regardless of differences between graphene devices.
Researchers explained that the developed graphene 'tongue' has the potential to detect the chemical composition and differences of liquids beyond human capabilities.
Researchers have imitated the taste cortex of the human brain, which processes perception of taste.
Sensors on this device can detect a variety of liquid compositions, distinguishing between Coca-Cola and Pepsi-Cola, diet and regular Coke as well as diluted milk, coffee blends, and fruit juices.
Researchers claimed that the graphene tongue has an overall accuracy of 80%. In particular, for fruit juice, the type can be identified with 98% accuracy.
Studies have also shown that the product can measure freshness and determine whether dangerous contaminants are present in the food.
The researchers noted that while corrective action exists for food modulation and contamination incidents, it is more difficult to monitor food freshness due to the time-dependent and complex chemical composition present in the food. The study found that graphene tongues have the potential to filter out harmful ingredients better" he said.
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