Detection of fraud in sesame oil with the help of artificial intelligence combined with chemometrics methods and chemical compounds characterization by gas chromatography–mass spectrometry-Reference-Cited by-同舟云学术

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Detection of fraud in sesame oil with the help of artificial intelligence combined with chemometrics methods and chemical compounds characterization by gas chromatography–mass spectrometry

Published:2022-09 Issue: Volume:167 Page:113863
ISSN:0023-6438
Container-title:LWT
language:en
Short-container-title:LWT

Author:

Aghili Nadia Sadat,Rasekh Mansour,Karami Hamed,Azizi Vahid,Gancarz Marek^ORCID

Publisher

Elsevier BV

Subject

Food Science

Reference52 articles.

1. Identification and quantification of olive oil quality parameters using an electronic nose;Abu-Khalaf;Agriculture,2021

2. Evaluation of hydrocarbon soil pollution using E-nose;Bieganowski;Sensors,2018

3. Detection of adulteration in argan oil by using an electronic nose and a voltammetric electronic tongue;Bougrini;Journal of Sensors,2014

4. Discrimination of geographical origin of oranges (Citrus sinensis L. Osbeck) by mass spectrometry-based electronic nose and characterization of volatile compounds;Centonze;Food Chemistry,2019

5. Electronic nose based on metal oxide semiconductor sensors as a fast alternative for the detection of adulteration of virgin olive oils;Cerrato Oliveros;Analytica Chimica Acta,2002

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