已入深夜,您辛苦了!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!祝你早点完成任务,早点休息,好梦!

Fluorous-paired derivatization approach towards highly sensitive and accurate determination of long chain unsaturated fatty acids by liquid chromatography-tandem mass spectrometry

化学 衍生化 色谱法 质谱法 液相色谱-质谱法 串联质谱法 分辨率(逻辑) 基质(化学分析) 试剂 高效液相色谱法 样品制备 有机化学 计算机科学 人工智能
作者
Jia‐Yi Zheng,Yingying Jin,Zi‐Qi Shi,Jian‐Liang Zhou,Lifang Liu,Gui‐Zhong Xin
出处
期刊:Analytica Chimica Acta [Elsevier BV]
卷期号:1136: 187-195 被引量:12
标识
DOI:10.1016/j.aca.2020.09.052
摘要

Long chain unsaturated fatty acids (LCUFAs) are emerging as critical contributors to inflammation and its resolution. Sensitive and accurate measurement of LCUFAs in biological samples is thus of great value in disease diagnosis and prognosis. In this work, a fluorous-derivatization approach for UPLC-MS/MS quantification of LCUFAs was developed by employing a pair of fluorous reagents, namely 3-(perfluorooctyl)-propylamine (PFPA) and 2-(perfluorooctyl)-ethylamine (PFEA). With this method, the LCUFAs in biological samples were perfluoroalkylated with PFPA and specifically retained on a fluorous-phase LC column, which largely reduced matrix interferences-induced quantitation deviation. Moreover, PFEA-labeled LCUFAs standards were introduced as one-to-one internal standards to farthest ensure unbiased results. Application of the proposed method enabled a reliable determination of eight typical LCUFAs with high sensitivity (LLOQ ranged from 30 amol to 6.25 fmol) and low matrix interferences (almost less than 10%). Such a high sensitivity could facilitate the determination of small-volume and low-concentration bio-samples. Further metabolic characterization of these targeted LCUFAs was monitored in OVA-induce asthma mice, requiring only 5 μL serum sample. Our results showed that asthmatic attack led to significant disturbances not only in the concentrations but also in the ratio among these LCUFAs. In view of the favorable advantages in sensitivity and accuracy, the present fluorous-paired derivatization approach will be expected to serve as a new avenue for dissecting the physiological and clinical implications of LCUFAs, thereby shedding light on the management of diseases related to their disturbances.

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
木十四完成签到 ,获得积分10
刚刚
不知道是谁完成签到,获得积分10
2秒前
Ching77发布了新的文献求助10
2秒前
晏温完成签到,获得积分10
3秒前
3秒前
JJYYY完成签到,获得积分10
3秒前
南柯应助机智的天宇采纳,获得60
7秒前
Yuan发布了新的文献求助10
8秒前
深情安青应助穆雨采纳,获得10
8秒前
慢无墓地完成签到 ,获得积分10
8秒前
在水一方应助哈哈采纳,获得10
9秒前
朱晓云完成签到 ,获得积分10
9秒前
科研通AI6.4应助丸丸0采纳,获得30
11秒前
科研通AI6.3应助Sept6采纳,获得10
13秒前
Brak完成签到 ,获得积分10
13秒前
18秒前
一杯茶具完成签到 ,获得积分10
19秒前
20秒前
祖之微笑发布了新的文献求助10
20秒前
英俊的铭应助边sir采纳,获得10
21秒前
Lucas应助Nokia采纳,获得10
21秒前
lsh完成签到 ,获得积分10
23秒前
oo完成签到 ,获得积分10
25秒前
大熊完成签到 ,获得积分10
27秒前
YY完成签到 ,获得积分10
29秒前
30秒前
科研通AI6.3应助bxx采纳,获得10
31秒前
32秒前
33秒前
文艺信封完成签到,获得积分10
33秒前
哈哈发布了新的文献求助10
34秒前
愉快灵阳发布了新的文献求助10
36秒前
边sir发布了新的文献求助10
38秒前
Nokia发布了新的文献求助10
39秒前
41秒前
Simple发布了新的文献求助30
41秒前
晴枫3648完成签到,获得积分10
42秒前
42秒前
43秒前
浮生完成签到 ,获得积分10
43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
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 550
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 7496210
求助须知:如何正确求助?哪些是违规求助? 9087144
关于积分的说明 19382174
捐赠科研通 7107386
什么是DOI,文献DOI怎么找? 3249980
关于科研通互助平台的介绍 2419411
邀请新用户注册赠送积分活动 2235736