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Comprehensive adulteration detection of sesame oil based on characteristic markers

Authors :
Zhe Chen
Jiashun Fu
Xinjing Dou
Zhuowen Deng
Xuefang Wang
Fei Ma
Li Yu
Yong-Huan Yun
Peiwu Li
Liangxiao Zhang
Source :
Food Chemistry: X, Vol 18, Iss , Pp 100745- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Sesame oil has a unique flavor and is very popular in Asian countries, and this leads to frequent adulteration. In this study, comprehensive adulteration detection of sesame oil based on characteristic markers was developed. Initially, sixteen fatty acids, eight phytosterols, and four tocopherols were utilized to construct an adulteration detection model, which screened seven potentially adulterated samples. Subsequently, confirmatory conclusions were drawn based on the characteristic markers. Adulteration with rapeseed oil in 4 samples was confirmed using the characteristic marker of brassicasterol. The adulteration of soybean oil in 1 sample was confirmed using the isoflavone. The adulteration of 2 samples with cottonseed oil was demonstrated by sterculic acid and malvalic acid. The results showed that sesame oil adulteration could be detected by screening positive samples using chemometrics and verifying with characteristic markers. The comprehensive adulteration detection method could provide a system approach for market supervision of edible oils.

Details

Language :
English
ISSN :
25901575
Volume :
18
Issue :
100745-
Database :
Directory of Open Access Journals
Journal :
Food Chemistry: X
Publication Type :
Academic Journal
Accession number :
edsdoj.30be174440584a65b99ce37a3d441824
Document Type :
article
Full Text :
https://doi.org/10.1016/j.fochx.2023.100745