An isotope-labeled chemical derivatization method for the quantitation of short-chain fatty acids in human feces by liquid chromatography–tandem mass spectrometry

化学 衍生化 色谱法 人类粪便 质谱法 串联质谱法 液相色谱-质谱法 粪便 同位素稀释 生物 古生物学
作者
Jun Han,Karen Lin,Carita Sequeira,Christoph H. Borchers
出处
期刊:Analytica Chimica Acta [Elsevier]
卷期号:854: 86-94 被引量:451
标识
DOI:10.1016/j.aca.2014.11.015
摘要

Short-chain fatty acids (SCFAs) are produced by anaerobic gut microbiota in the large bowel. Qualitative and quantitative measurements of SCFAs in the intestinal tract and the fecal samples are important to understand the complex interplay between diet, gut microbiota and host metabolism homeostasis. To develop a new LC-MS/MS method for sensitive and reliable analysis of SCFAs in human fecal samples, 3-nitrophenylhydrazine (3NPH) was employed for pre-analytical derivatization to convert ten C2–C6 SCFAs to their 3-nitrophenylhydrazones under a single set of optimized reaction conditions and without the need of reaction quenching. The derivatives showed excellent in-solution chemical stability. They were separated on a reversed-phase C18 column and quantitated by negative-ion electrospray ionization – multiple-reaction monitoring (MRM)/MS. To achieve accurate quantitation, the stable isotope-labeled versions of the derivatives were synthesized in a single reaction vessel from 13C6-3NPH, and were used as internal standard to compensate for the matrix effects in ESI. Method validation showed on-column limits of detection and quantitation over the range from low to high femtomoles for the ten SCFAs, and the intra-day and inter-day precision for determination of nine of the ten SCFAs in human fecal samples was ≤8.8% (n = 6). The quantitation accuracy ranged from 93.1% to 108.4% (CVs ≤ 4.6%, n = 6). This method was used to determine the SCFA concentrations and compositions in six human fecal samples. One of the six samples, which was collected from a clinically diagnosed type 2 diabetes patient showed a significantly high molar ratio of branch-chain SCFAs to straight-chain SCFAs than the others. In summary, this work provides a new LC-MS/MS method for precise and accurate quantitation of SCFAs in human feces.
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
Jasper应助科研通管家采纳,获得10
2秒前
Greg应助科研通管家采纳,获得10
2秒前
科研通AI6应助科研通管家采纳,获得10
2秒前
所所应助科研通管家采纳,获得10
2秒前
科研通AI6应助科研通管家采纳,获得10
2秒前
Lucas应助科研通管家采纳,获得10
2秒前
科研通AI6应助科研通管家采纳,获得10
2秒前
科研通AI6应助科研通管家采纳,获得10
2秒前
ding应助科研通管家采纳,获得10
2秒前
科研通AI6应助科研通管家采纳,获得10
2秒前
2秒前
张庭豪完成签到,获得积分10
2秒前
4秒前
sdjjis完成签到 ,获得积分10
4秒前
Snail6完成签到,获得积分10
5秒前
研友_LX7zK8完成签到,获得积分10
6秒前
简奥斯汀完成签到 ,获得积分10
6秒前
wxp5294完成签到,获得积分10
6秒前
6秒前
寒冷丹雪完成签到,获得积分10
6秒前
缺缺完成签到,获得积分10
7秒前
牛仔完成签到 ,获得积分10
8秒前
9秒前
时有落花至完成签到,获得积分10
10秒前
可靠的千凝完成签到 ,获得积分10
10秒前
量子星尘发布了新的文献求助10
10秒前
清爽朋友完成签到,获得积分10
10秒前
QQ完成签到 ,获得积分10
11秒前
化简为繁完成签到,获得积分10
11秒前
金桔希子完成签到,获得积分10
12秒前
14秒前
青青完成签到,获得积分10
14秒前
量子星尘发布了新的文献求助10
14秒前
小蘑菇噢噢噢完成签到,获得积分10
15秒前
wd完成签到,获得积分10
15秒前
成就的白羊完成签到,获得积分10
16秒前
蛋花肉圆汤完成签到,获得积分0
16秒前
书记完成签到,获得积分10
17秒前
执着新蕾完成签到,获得积分10
17秒前
MoodMeed完成签到,获得积分10
17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
Digitizing Enlightenment: Digital Humanities and the Transformation of Eighteenth-Century Studies 1000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Real World Research, 5th Edition 680
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 660
Handbook of Migration, International Relations and Security in Asia 555
Between high and low : a chronology of the early Hellenistic period 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5671607
求助须知:如何正确求助?哪些是违规求助? 4920377
关于积分的说明 15135208
捐赠科研通 4830460
什么是DOI,文献DOI怎么找? 2587117
邀请新用户注册赠送积分活动 1540692
关于科研通互助平台的介绍 1499071