Development of an Innovative Optoelectronic Nose for Detecting Adulteration in Quince Seed Oil

Development of an Innovative Optoelectronic Nose for Detecting Adulteration in Quince Seed Oil

In this study, an innovative odor imaging system capable of detecting adulteration in quince seed edible oils mixed with sunflower oil and sesame oil based on their volatile organic compound (VOC) profiles was developed. The system comprises a colorimetric sensor array (CSA), a data acquisition unit...

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Bibliographic Details
Main Authors: Saman Abdanan Mehdizadeh, Mohammad Noshad, Mahsa Chaharlangi, Yiannis Ampatzidis
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Foods
Subjects:
adulteration
colorimetric sensory
machine learning
volatile organic compound
Online Access:https://www.mdpi.com/2304-8158/12/23/4350

Internet

https://www.mdpi.com/2304-8158/12/23/4350

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