Mass spectrometry‐based lipidomics in food science and nutritional health: A comprehensive review

脂类学 人类健康 数据科学 生物技术 食品科学 计算生物学 化学 计算机科学 生物 生物信息学 医学 环境卫生
作者
Tong Sun,Xincen Wang,Peixu Cong,Jie Xu,Changhu Xue
出处
期刊:Comprehensive Reviews in Food Science and Food Safety [Wiley]
卷期号:19 (5): 2530-2558 被引量:89
标识
DOI:10.1111/1541-4337.12603
摘要

Abstract With the advance in science and technology as well as the improvement of living standards, the function of food is no longer just to meet the needs of survival. Food science and its associated nutritional health issues have been increasingly debated. Lipids, as complex metabolites, play a key role both in food and human health. Taking advantages of mass spectrometry (MS) by combining its high sensitivity and accuracy with extensive selective determination of all lipid classes, MS‐based lipidomics has been employed to resolve the conundrum of addressing both qualitative and quantitative aspects of high‐abundance and low‐abundance lipids in complex food matrices. In this review, we systematically summarize current applications of MS‐based lipidomics in food field. First, common MS‐based lipidomics procedures are described. Second, the applications of MS‐based lipidomics in food science, including lipid composition characterization, adulteration, traceability, and other issues, are discussed. Third, the application of MS‐based lipidomics for nutritional health covering the influence of food on health and disease is introduced. Finally, future research trends and challenges are proposed. MS‐based lipidomics plays an important role in the field of food science, promoting continuous development of food science and integration of food knowledge with other disciplines. New methods of MS‐based lipidomics have been developed to improve accuracy and sensitivity of lipid analysis in food samples. These developments offer the possibility to fully characterize lipids in food samples, identify novel functional lipids, and better understand the role of food in promoting healt.
最长约 10秒,即可获得该文献文件

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
酷波er应助杨震采纳,获得30
刚刚
稳稳完成签到,获得积分10
1秒前
zsyf完成签到,获得积分10
2秒前
科研通AI5应助淡然的蚂蚁采纳,获得10
2秒前
wwho_O完成签到 ,获得积分10
2秒前
5秒前
10秒前
赵欢欢发布了新的文献求助30
11秒前
13秒前
超级的妙晴完成签到 ,获得积分10
17秒前
汉堡包应助科研通管家采纳,获得10
21秒前
科研通AI2S应助科研通管家采纳,获得10
21秒前
情怀应助科研通管家采纳,获得10
21秒前
23秒前
23秒前
zhinian完成签到 ,获得积分10
26秒前
犹豫花卷发布了新的文献求助10
30秒前
32秒前
充电宝应助103921wjk采纳,获得10
36秒前
41秒前
Akim应助犹豫花卷采纳,获得10
42秒前
42秒前
103921wjk发布了新的文献求助10
46秒前
46秒前
46秒前
48秒前
缥缈夏彤完成签到,获得积分10
51秒前
53秒前
53秒前
欣慰傲薇完成签到,获得积分10
54秒前
宇文青寒发布了新的文献求助10
54秒前
Olivia完成签到 ,获得积分10
56秒前
不上课不行完成签到,获得积分10
59秒前
hh发布了新的文献求助10
59秒前
carly发布了新的文献求助20
1分钟前
Orange应助121采纳,获得10
1分钟前
1分钟前
1分钟前
cing发布了新的文献求助10
1分钟前
小马甲应助舒服的惜灵采纳,获得10
1分钟前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Encyclopedia of Geology (2nd Edition) 2000
Maneuvering of a Damaged Navy Combatant 650
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
Mixing the elements of mass customisation 300
the MD Anderson Surgical Oncology Manual, Seventh Edition 300
Nucleophilic substitution in azasydnone-modified dinitroanisoles 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3780364
求助须知:如何正确求助?哪些是违规求助? 3325704
关于积分的说明 10224008
捐赠科研通 3040823
什么是DOI,文献DOI怎么找? 1669040
邀请新用户注册赠送积分活动 799013
科研通“疑难数据库(出版商)”最低求助积分说明 758648