Development of High-Performance Liquid Chromatography–Time-of-Flight Mass Spectrometry for the Simultaneous Characterization and Quantitative Analysis of Gingerol-Related Compounds in Ginger Products

色谱法 姜辣素 重复性 化学 质谱法 飞行时间质谱 高效液相色谱法 检出限 液相色谱-质谱法 样品制备 气相色谱-质谱法 有机化学 离子 电离
作者
Jisu Park,Mun Yhung Jung
出处
期刊:Journal of Agricultural and Food Chemistry [American Chemical Society]
卷期号:60 (40): 10015-10026 被引量:30
标识
DOI:10.1021/jf302944p
摘要

Liquid chromatography–time-of-flight mass spectrometry (LC-TOF/MS) was established for the simultaneous separation, identification, and quantification of gingerol-related compounds in ginger products. The established method has been shown to provide a satisfactory linearity (r > 0.999) in a wide range (5–5000 ng/mL), low limits of detection and quantification, high precision, and inter- and intraday repeatability. The detection sensitivity of gingerols and shogaols by TOF/MS was 70–100 times higher than conventional UV detection at 288 nm. In this study, 19 ginerol-related compounds in the samples were identified and quantified by the established LC-TOF/MS method. The dried ginger powder products contained the highest quantity of gingerol-related compounds (7126.3–13789.0 μg/g), followed by fresh ginger products (2007.9–2790.0 μg/g), powdered ginger tea products (77.29–81.75 μg/g), and hot water ginger extracts (54.59–123.23 μg/mL). Shogaols were not found in fresh gingers. This paper represents the first report on the LC-TOF/MS analysis for the simultaneous characterization and quantification of gingerol-related compounds in ginger products.

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
1秒前
小武发布了新的文献求助10
2秒前
俭朴苑博完成签到,获得积分10
3秒前
我要攒积分完成签到 ,获得积分10
4秒前
LIN发布了新的文献求助20
4秒前
李爱国应助酷炫的真采纳,获得10
5秒前
科研通AI6.4应助汤绮菱采纳,获得10
5秒前
外向烨磊完成签到,获得积分10
5秒前
未晚发布了新的文献求助10
5秒前
梨梦谣发布了新的文献求助10
6秒前
zhiqi完成签到,获得积分10
6秒前
CC发布了新的文献求助10
6秒前
残荷听雨发布了新的文献求助30
7秒前
8秒前
隔壁的小民完成签到,获得积分10
8秒前
9秒前
岁安完成签到,获得积分10
10秒前
will完成签到,获得积分10
10秒前
11秒前
柠檬初上完成签到,获得积分10
11秒前
天天快乐应助科研小白采纳,获得10
11秒前
12秒前
NexusExplorer应助zik采纳,获得10
12秒前
12秒前
hhh应助科研通管家采纳,获得10
12秒前
Ava应助科研通管家采纳,获得10
12秒前
搜集达人应助科研通管家采纳,获得10
13秒前
13秒前
一念之间应助小武采纳,获得10
14秒前
LIN发布了新的文献求助10
14秒前
嘤嘤嘤发布了新的文献求助10
15秒前
大约在冬季完成签到,获得积分10
16秒前
tiptip完成签到,获得积分0
16秒前
16秒前
17秒前
科研通AI6.2应助残荷听雨采纳,获得10
17秒前
棉花糖骆驼完成签到,获得积分10
18秒前
OhahaO完成签到,获得积分10
18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
Picture this! Including first nations fiction picture books in school library collections 1500
Instituting Science: The Cultural Production of Scientific Disciplines 666
Signals, Systems, and Signal Processing 610
The Organization of knowledge in modern America, 1860-1920 / 600
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
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 6360901
求助须知:如何正确求助?哪些是违规求助? 8174823
关于积分的说明 17219898
捐赠科研通 5415978
什么是DOI,文献DOI怎么找? 2866077
邀请新用户注册赠送积分活动 1843339
关于科研通互助平台的介绍 1691363