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
高兴酸奶完成签到,获得积分10
1秒前
3456完成签到 ,获得积分10
2秒前
踏实一德应助Linda采纳,获得10
2秒前
药药55完成签到,获得积分10
3秒前
丰富曼青完成签到,获得积分10
3秒前
4秒前
5秒前
崔雨禾完成签到 ,获得积分10
6秒前
7秒前
QYQ完成签到 ,获得积分10
11秒前
12秒前
12秒前
科研通AI2S应助科研通管家采纳,获得10
12秒前
共享精神应助科研通管家采纳,获得10
12秒前
JZ发布了新的文献求助10
12秒前
13秒前
13秒前
SciGPT应助科研通管家采纳,获得10
13秒前
v0id应助科研通管家采纳,获得10
13秒前
慕青应助科研通管家采纳,获得10
13秒前
14秒前
ABystander完成签到,获得积分10
14秒前
16秒前
我是老大应助孤独冬云采纳,获得10
16秒前
16秒前
852应助活泼的断秋采纳,获得30
17秒前
18秒前
岳翔宇完成签到,获得积分10
20秒前
Lucas应助林懋采纳,获得10
21秒前
Li发布了新的文献求助10
21秒前
ABystander发布了新的文献求助20
23秒前
kk_1315完成签到,获得积分0
23秒前
冷艳玉米完成签到,获得积分10
23秒前
Koda完成签到,获得积分10
25秒前
初景发布了新的文献求助10
26秒前
张一迪发布了新的文献求助10
27秒前
27秒前
852应助郭莹莹采纳,获得10
29秒前
FashionBoy应助Li采纳,获得10
31秒前
TangSEU发布了新的文献求助10
31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
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Health Psychology 1000
全员动态考核,锚定高质量发展:读懂同济大学教师人事改革新政的深层价值 900
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
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 7596840
求助须知:如何正确求助?哪些是违规求助? 9173533
关于积分的说明 19638891
捐赠科研通 7174120
什么是DOI,文献DOI怎么找? 3268175
关于科研通互助平台的介绍 2432770
邀请新用户注册赠送积分活动 2261378