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Rapid analysis of meat floss origin using a supervised machine learning-based electronic nose towards food authentication

Food Science and Technology

Rapid analysis of meat floss origin using a supervised machine learning-based electronic nose towards food authentication

L. A. Putri, I. Rahman, et al.

Discover the revolutionary compact portable electronic nose developed by researchers including Linda Ardita Putri and Iman Rahman. This innovative technology accurately classifies different meat floss types, achieving over 99% accuracy in identifying beef, chicken, and pork, making it a promising tool for ensuring food authenticity.

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