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地填写文献信息,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!

A Gas Chromatography Mass Spectrometry-Based Method for the Quantification of Short Chain Fatty Acids

色谱法 衍生化 化学 盲肠 质谱法 气相色谱-质谱法 气相色谱法 分析物 人类粪便 离心 粪便 生物 微生物学 生态学
作者
Julia K. Rohde,Marceline M. Fuh,Ioannis Evangelakos,Mira Pauly,Nicola Schaltenberg,Francesco Siracusa,Nicola Gagliani,Klaus Tödter,Jöerg Heeren,Anna Worthmann
出处
期刊:Metabolites [Multidisciplinary Digital Publishing Institute]
卷期号:12 (2): 170-170 被引量:17
标识
DOI:10.3390/metabo12020170
摘要

Short Chain Fatty Acids (SCFAs) are produced by the gut microbiota and are present in varying concentrations in the intestinal lumen, in feces but also in the circulatory system. By interacting with different cell types in the body, they have a great impact on host metabolism and their exact quantification is indispensable. Here, we present a derivatization-free method for the gas chromatography mass spectrometry (GC-MS) based quantification of SCFAs in plasma, feces, cecum, liver and adipose tissue. SCFAs were extracted using ethanol and concentrated by alkaline vacuum centrifugation. To allow volatility for separation by GC, samples were acidified with succinic acid. Analytes were detected in selected ion monitoring (SIM) mode and quantified using deuterated internal standards and external calibration curves. Method validation rendered excellent linearity (R2 > 0.99 for most analytes), good recovery rates (95-117%), and good reproducibility (RSD: 1-4.5%). Matrix effects were ruled out in plasma, feces, cecum, liver and fat tissues where most abundant SCFAs were detected and accurately quantified. Finally, applicability of the method was assessed using samples derived from conventionally raised versus germ-free mice or mice treated with antibiotics. Altogether, a reliable, fast, derivatization-free GC-MS method for the quantification of SCFAs in different biological matrices was developed allowing for the study of the (patho)physiological role of SCFAs in metabolic health.
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
tiptip完成签到,获得积分0
3秒前
7秒前
FadedTulips完成签到 ,获得积分10
7秒前
旋转小青蛙完成签到,获得积分10
7秒前
wq完成签到 ,获得积分10
8秒前
xin完成签到,获得积分10
10秒前
丢丢小皮蛋完成签到,获得积分10
11秒前
12秒前
科研通AI6.3应助hhhle采纳,获得10
13秒前
所所应助Ly采纳,获得30
15秒前
16秒前
16秒前
wwwwyx应助科研通管家采纳,获得10
17秒前
研友_VZG7GZ应助科研通管家采纳,获得10
17秒前
向阳完成签到,获得积分10
23秒前
科研通AI6.3应助桀骜采纳,获得10
24秒前
24秒前
24秒前
hhhle完成签到,获得积分10
24秒前
wz8899000给独坐幽篁里的求助进行了留言
28秒前
悦耳冰香完成签到,获得积分10
32秒前
尼仲星完成签到 ,获得积分10
34秒前
34秒前
影2857完成签到,获得积分10
36秒前
38秒前
emoji完成签到,获得积分10
43秒前
46秒前
46秒前
shi完成签到,获得积分10
46秒前
Ning完成签到,获得积分10
47秒前
幽默霆完成签到,获得积分10
47秒前
JJJJ发布了新的文献求助10
51秒前
Lucas应助温暖砖头采纳,获得10
51秒前
大模型应助AMXH采纳,获得10
51秒前
共享精神应助AMXH采纳,获得10
51秒前
霄泽完成签到,获得积分10
51秒前
桀骜发布了新的文献求助10
53秒前
54秒前
大个应助霄泽采纳,获得10
55秒前
共享精神应助huhu采纳,获得10
56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
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Introducing the Learning Sciences 600
Resiliency Scale for Adolescents--Chinese Version 600
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7323129
求助须知:如何正确求助?哪些是违规求助? 8938568
关于积分的说明 18951434
捐赠科研通 6980616
什么是DOI,文献DOI怎么找? 3215214
关于科研通互助平台的介绍 2382600
邀请新用户注册赠送积分活动 2194422