Visible-Light Paternò–Büchi Reaction for Lipidomic Profiling at Detailed Structure Levels

化学 试剂 甘油磷酯 色谱法 衍生化 质谱法 双键 脂类学 串联质谱法 有机化学 生物化学 磷脂
作者
Hengxue Shi,Zhenshu Tan,X. Guo,Hanlin Ren,Shengzhuo Wang,Yu Xia
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:95 (11): 5117-5125 被引量:12
标识
DOI:10.1021/acs.analchem.3c00085
摘要

The Paternò–Büchi (PB) derivatization of carbon–carbon double bond (C═C) has been increasingly employed with tandem mass spectrometry to analyze unsaturated lipids. It enables the discovery of altered or uncanonical lipid desaturation metabolism, which would be otherwise undetected by conventional methods. Although highly useful, the reported PB reactions only provide moderate yield (∼30%). Herein, we aim to determine the key factors that affect the PB reactions and develop a system with improved capabilities for lipidomic analysis. An Ir(III) photocatalyst is chosen as the triplet energy donor for the PB reagent under 405 nm light irradiation, while phenylglyoxalate and its charge-tagging version, pyridylglyoxalate, are developed as the most efficient PB reagents. The above visible-light PB reaction system provides higher PB conversions than all previously reported PB reactions. Around 90% conversion can be achieved at high concentrations (>0.5 mM) for different classes of lipids but drops as the lipid concentration decreases. The visible-light PB reaction has then been integrated with shotgun and liquid chromatography-based workflows. The limits of detection for locating C═C in standard lipids of glycerophospholipids (GPLs) and triacylglycerides (TGs) are in the sub-nM to nM range. More than 600 distinct GPLs and TGs have been profiled at the C═C location level or the sn-position level from the total lipid extract of bovine liver, demonstrating that the developed method is capable of large-scale lipidomic analysis.

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
科研通AI6应助小夏咕噜采纳,获得10
刚刚
大力元霜发布了新的文献求助10
刚刚
加速度完成签到,获得积分10
刚刚
我是老大应助子辰采纳,获得10
1秒前
ViVi发布了新的文献求助10
1秒前
1秒前
难过的溪流完成签到 ,获得积分10
1秒前
科研通AI6应助莎莎士比亚采纳,获得10
2秒前
理想完成签到,获得积分10
2秒前
辣椒蘸糖完成签到,获得积分10
3秒前
传奇3应助幽默的涵山采纳,获得10
3秒前
jk发布了新的文献求助10
3秒前
浮游应助忧郁的平安采纳,获得10
3秒前
3秒前
英姑应助shiori采纳,获得30
3秒前
年轻绮南完成签到,获得积分10
4秒前
丘比特应助Anar采纳,获得10
4秒前
gyl完成签到 ,获得积分10
4秒前
12138完成签到,获得积分10
5秒前
在水一方应助读书的丁丁采纳,获得10
5秒前
未央完成签到,获得积分10
6秒前
shanshan3000完成签到,获得积分10
6秒前
ding应助无情墨镜采纳,获得10
6秒前
Akim应助king采纳,获得10
7秒前
痞老板发布了新的文献求助10
7秒前
桐桐应助疯狂的访文采纳,获得10
7秒前
777发布了新的文献求助10
7秒前
7秒前
Owen应助年轻绮南采纳,获得10
7秒前
沿途有你完成签到 ,获得积分10
8秒前
9秒前
yxy发布了新的文献求助10
9秒前
9秒前
量子星尘发布了新的文献求助10
10秒前
10秒前
忧虑的大米完成签到 ,获得积分10
10秒前
FashionBoy应助醉熏的烤鸡采纳,获得10
10秒前
哈喽完成签到,获得积分10
11秒前
健康的鑫鹏完成签到,获得积分10
11秒前
12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
《药学类医疗服务价格项目立项指南(征求意见稿)》 880
Stop Talking About Wellbeing: A Pragmatic Approach to Teacher Workload 800
花の香りの秘密―遺伝子情報から機能性まで 800
3rd Edition Group Dynamics in Exercise and Sport Psychology New Perspectives Edited By Mark R. Beauchamp, Mark Eys Copyright 2025 600
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
Terminologia Embryologica 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 5618980
求助须知:如何正确求助?哪些是违规求助? 4703923
关于积分的说明 14924415
捐赠科研通 4758994
什么是DOI,文献DOI怎么找? 2550336
邀请新用户注册赠送积分活动 1513125
关于科研通互助平台的介绍 1474401