AI Tongue Detects Contaminated Foods

This is a Pennsylvania news story, published by Global News, that relates primarily to Saba Aziz news.

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Global News

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AI tongue can detect difference between Coke and Pepsi, research finds - National | Globalnews.ca

Summary

Nutrition label

83% Informative

Researchers from Penn State in Pennsylvania have developed an electronic tongue that identifies differences in similar liquids, such as milk with varying water content, and products like soda types and coffee blends.

It can even distinguish between Pepsi and Coke with a high degree of accuracy.

The technology could be used to find contaminants in foods that could make consumers sick, or detect when something is no longer safe to eat.

“These results highlight that machine-learning-aided graphene ISFETs (ion-sensitive field-effect transistors) can be applied to tackle a broad spectrum of challenges in the food industry,” the researchers said. — With files from Global News ’ Saba Aziz .

VR Score

Informative language

Neutral language

Article tone

semi-formal

Language

English

Language complexity

Offensive language

not offensive

Hate speech

not hateful