Tracking the dynamics of epoxy triglycerides during thermal oxidation by liquid chromatography-mass spectrometry

不饱和度 化学 质谱法 离子迁移光谱法 色谱法
作者
Yu Wang,Xinyu Cao,Jiachen Shi,Xue Li,Yuanfa Liu,Yong‐Jiang Xu
出处
期刊:Food Control [Elsevier BV]
卷期号:146: 109523-109523 被引量:8
标识
DOI:10.1016/j.foodcont.2022.109523
摘要

Epoxy triglycerides (ETGs) is a class of the most toxic component among the oxidized triglycerides (ox-TGs) in deep frying oil. To track the dynamics of ETGs during thermal oxidation, we developed an approach for qualitative analysis of ETGs by liquid chromatography-mass spectrometry (LC-MS). A total of 36 ETGs in thermal oxidized vegetable oil were identified as mono-ETGs, di-ETGs, tri-ETGs, hydroxyl-ETGs and aldehyde-ETGs by their characteristic fragmentations, such as precursor ions, diacylglycerols and oxidized mono-acylglycerol fragments. Furthermore, we evaluated the factors on the generation of ETGs. The results from vegetable oil system demonstrated that the total content of ETG was positively correlated with heating time, temperature and degree of unsaturation of oil (p < 0.05). Mono-ETGs in monounsaturated oil had an obvious increasing trend, while the proportion of hydroxyl-ETGs in polyunsaturated oil were much higher than other monomers. Taken together, our study suggested that ETGs could serve as the characteristic compounds to determine the degree of oxidation in vegetable oils.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
小罗发布了新的文献求助20
2秒前
2秒前
lunhui6453完成签到 ,获得积分10
2秒前
3秒前
纪云海发布了新的文献求助10
4秒前
4秒前
sanmu完成签到,获得积分10
5秒前
小新qqq发布了新的文献求助30
6秒前
卡尔发布了新的文献求助10
9秒前
科研通AI6.1应助Ferdinand_Foch采纳,获得10
9秒前
9秒前
大个应助小宁采纳,获得20
9秒前
10秒前
zyy发布了新的文献求助10
12秒前
乾三发布了新的文献求助10
13秒前
mxy126354发布了新的文献求助200
14秒前
jscshoping完成签到 ,获得积分10
15秒前
19秒前
20秒前
lxy应助so采纳,获得20
21秒前
wztao完成签到,获得积分10
22秒前
科研通AI6.3应助mayun95采纳,获得10
22秒前
Ava应助蓝天采纳,获得20
22秒前
清欢小适完成签到 ,获得积分10
22秒前
鱼y发布了新的文献求助10
25秒前
25秒前
25秒前
11235应助科研通管家采纳,获得10
25秒前
25秒前
25秒前
25秒前
25秒前
25秒前
Akim应助科研通管家采纳,获得10
25秒前
25秒前
识时务这也完成签到,获得积分10
25秒前
星辰大海应助科研通管家采纳,获得10
25秒前
科研通AI6.2应助活泼弼采纳,获得10
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6354171
求助须知:如何正确求助?哪些是违规求助? 8169117
关于积分的说明 17196232
捐赠科研通 5410249
什么是DOI,文献DOI怎么找? 2863906
邀请新用户注册赠送积分活动 1841349
关于科研通互助平台的介绍 1689961