Widely targeted metabolomic analysis reveals dynamic changes in non-volatile and volatile metabolites during green tea processing

代谢组 代谢组学 代谢物 化学 串联质谱法 初级代谢物 色谱法 气相色谱-质谱法 质谱法 食品科学 生物化学
作者
Hua‐Jie Wang,Jinjie Hua,Qinyan Yu,Jia Li,Jinjin Wang,Yuliang Deng,Haibo Yuan,Yongwen Jiang
出处
期刊:Food Chemistry [Elsevier]
卷期号:363: 130131-130131 被引量:237
标识
DOI:10.1016/j.foodchem.2021.130131
摘要

Non-volatile metabolites significantly influence the color, taste, and aromatic qualities of green tea. However, the evolutionary trajectories of non-volatile metabolites, and their transformational relationship with volatile metabolites during processing, remain unclear. In this study, ultra-performance liquid chromatography–tandem mass spectrometry and gas chromatography–tandem mass spectrometry were used to analyze a widely targeted metabolome during green tea processing. In total, 527 non-volatile metabolites, covering 11 subclasses, were identified, along with 184 volatile metabolites, covering 8 subclasses. Significant variations in metabolites were observed during processing, especially in the fixation stage, and the conversion intensity of non-volatile metabolites was consistent with the law of “Fixation > Drying > Rolling.” A total of 153 non-volatile metabolites were screened out, and amino acids and esters were found to be closely associated with volatile metabolite formation. The results of the present study provide a theoretical basis that could guide green tea processing based on desired quality and components.
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
1秒前
1秒前
丘比特应助herogyus采纳,获得10
1秒前
Hiy完成签到,获得积分20
1秒前
1秒前
Cwx2020发布了新的文献求助10
2秒前
2秒前
姜雪莲发布了新的文献求助10
3秒前
wxy发布了新的文献求助10
3秒前
小于完成签到,获得积分10
3秒前
4秒前
搜集达人应助1024采纳,获得10
5秒前
5秒前
962950735发布了新的文献求助10
5秒前
5秒前
精明凝海完成签到,获得积分10
6秒前
6秒前
共享精神应助cij123采纳,获得10
7秒前
大土豆子发布了新的文献求助10
7秒前
7秒前
小二郎应助猫露露采纳,获得10
8秒前
大模型应助黎敏采纳,获得10
8秒前
8秒前
8秒前
qiu完成签到,获得积分10
9秒前
CodeCraft应助我很厉害的采纳,获得10
9秒前
9秒前
难寻发布了新的文献求助10
10秒前
瑰慈完成签到,获得积分10
10秒前
田様应助李特猪猪仔采纳,获得10
10秒前
10秒前
科研通AI6.2应助962950735采纳,获得10
11秒前
无私的豆芽完成签到,获得积分10
11秒前
11秒前
科研通AI6.2应助LiuJinhui采纳,获得10
11秒前
风趣幻枫完成签到,获得积分10
13秒前
领导范儿应助贪玩的天荷采纳,获得10
14秒前
Jasper应助wrecust采纳,获得10
14秒前
14秒前
无花果应助浪者漫心采纳,获得10
14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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Social Work and Social Welfare: An Invitation(7th Edition) 410
Medical Management of Pregnancy Complicated by Diabetes 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6056326
求助须知:如何正确求助?哪些是违规求助? 7888218
关于积分的说明 16290192
捐赠科研通 5201629
什么是DOI,文献DOI怎么找? 2783191
邀请新用户注册赠送积分活动 1765994
关于科研通互助平台的介绍 1646861