亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Absolute Quantification of Acylcarnitines Using Integrated Tmt-PP Derivatization-Based LC–MS/MS and Quantitative Analysis of Multi-Components by a Single Marker Strategy

化学 衍生化 色谱法 质谱法 代谢组学 串联质谱法 选择性反应监测
作者
Tian Tang,Pei Zhang,Siqi Li,Doudou Xu,Wei Li,Yuan Tian,Yu Jiao,Zunjian Zhang,Fengguo Xu
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:93 (38): 12973-12980 被引量:18
标识
DOI:10.1021/acs.analchem.1c02606
摘要

Acylcarnitines (ACs) play important roles in the fatty acid β-oxidation and are considered as diagnostic markers for many diseases. Accurate determination of ACs remains challenging due to their low abundance, high structure diversity, and limited availability of standard compounds. In this study, microwave-assisted Tmt-PP (p-[3,5-(dimethylamino)-2,4,6-triazine] benzene-1-sulfonyl piperazine) derivatization was utilized to facilitate the liquid chromatography coupled with tandem mass spectrometry (LC–MS/MS) determination of ACs. The result indicated that Tmt-PP labeling enables the prediction of the retention time and MS response of ACs and enhances their MS response up to 4 times. The introduction of the microwave during the derivatization procedure greatly improved the reaction efficiency, demonstrated by the shortened reaction time from 90 to 1 min. Furthermore, we applied a strategy named quantitative analysis of multi-components by a single marker (QAMS) for the assay of 26 ACs with only 5 AC standards, solving the standard availability issue to a large extent. The established workflow was applied to discover dysregulated ACs in xenograft colon cancer mice, and the quantification results were highly comparable with traditional methods where there were the corresponding standards for each AC. Our study demonstrated that chemical derivatization-based LC–MS/MS integrated with the QAMS strategy is robust for the identification and quantification of ACs and has great potential in targeted metabolomics study.
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
KongHN发布了新的文献求助10
1秒前
wmuer完成签到 ,获得积分10
3秒前
ELIAUK发布了新的文献求助10
4秒前
5秒前
小张完成签到 ,获得积分10
16秒前
KongHN完成签到,获得积分10
18秒前
KongHN发布了新的文献求助10
21秒前
清秀紫南完成签到 ,获得积分10
22秒前
源源完成签到,获得积分10
25秒前
努巴完成签到,获得积分10
33秒前
orixero应助傅飞风采纳,获得10
38秒前
努巴发布了新的文献求助10
41秒前
科研通AI5应助粗粗布局采纳,获得10
44秒前
深情安青应助ELIAUK采纳,获得10
46秒前
愿不负丶发布了新的文献求助10
46秒前
zzyh307完成签到 ,获得积分0
47秒前
bkagyin应助科研通管家采纳,获得10
47秒前
壮观的谷冬完成签到 ,获得积分10
47秒前
义气幼珊完成签到 ,获得积分10
47秒前
一缕轻曲挽南墙完成签到 ,获得积分10
48秒前
51秒前
52秒前
52秒前
傅飞风完成签到,获得积分10
54秒前
54秒前
傅飞风发布了新的文献求助10
57秒前
LucienS发布了新的文献求助10
57秒前
58秒前
58秒前
1分钟前
江江发布了新的文献求助10
1分钟前
乐观大开发布了新的文献求助10
1分钟前
1分钟前
cy完成签到,获得积分10
1分钟前
愿不负丶完成签到,获得积分10
1分钟前
Linson发布了新的文献求助10
1分钟前
cy发布了新的文献求助10
1分钟前
乐观大开完成签到 ,获得积分20
1分钟前
Linson完成签到,获得积分10
1分钟前
小蘑菇应助cy采纳,获得10
1分钟前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
1.3μm GaAs基InAs量子点材料生长及器件应用 1000
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3526437
求助须知:如何正确求助?哪些是违规求助? 3106899
关于积分的说明 9281822
捐赠科研通 2804409
什么是DOI,文献DOI怎么找? 1539435
邀请新用户注册赠送积分活动 716571
科研通“疑难数据库(出版商)”最低求助积分说明 709546