Qualitative and Quantitative Detection of Food Adulteration Using a Smart E-Nose

Qualitative and Quantitative Detection of Food Adulteration Using a Smart E-Nose

Food adulteration is the most serious problem found in the food industry as it harms people’s healths and undermines their beliefs. The present study is focused on designing and developing a smart electronic nose (SE-Nose) for the qualitative and quantitative fast-track detection of food adulteratio...

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Bibliographic Details
Main Authors: Kranthi Kumar Pulluri, Vaegae Naveen Kumar
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
electronic nose
food
adulteration
artificial neural network
support vector machine
beef
Online Access:https://www.mdpi.com/1424-8220/22/20/7789

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