Design and characterizing of robust probes for enhanced mass spectrometry imaging and spatially resolved metabolomics

代谢组学 解吸电喷雾电离 质谱成像 质谱法 化学 分析化学(期刊) 电喷雾电离 电离 生物系统 色谱法 化学电离 生物 离子 有机化学
作者
Jianpeng Huang,Shanshan Gao,Kai Wang,Jin Zhang,Xuechao Pang,Junwen Shi,Jiuming He
出处
期刊:Chinese Chemical Letters [Elsevier BV]
卷期号:34 (5): 107865-107865 被引量:12
标识
DOI:10.1016/j.cclet.2022.107865
摘要

As for the emerging and cut edge spatially resolved metabolomics, mass spectrometry imaging (MSI) is a powerful tool that can map thousands of metabolites from bio-tissue sections without chemical labels. However, the stability, sensitivity and spatial resolution of MSI are always limited by the performance of its ionization probe. Herein, two types of probes (fine probe (P-100) and large probe (P-200)) were designed and characterized to perform air-flow assisted desorption electrospray ionization (AFA-DESI) MSI analysis for spatially resolved metabolomics. It was determined that the spray introduced by P-100 was homogenous and stable under the spray solvent at a flow rate of 5-10µL/min, while P-200 can endure a high flow rate of up to 10-30µL/min. Moreover, the MSI images were acquired by AFA-DESI-MSI with P-100 from rat brain tissue section and with P-200 from whole-body tissue section of mouse, and these results presented unambiguous tissue structure with the distribution information of numerous metabolites. Furthermore, the spatially resolved metabolomic analysis of tumor tissue was successfully realized to discover the tumor associated biomarkers. As the key parts of AFA-DESI-MSI system, it has been demonstrated that the designed probs have excellent performance for spatially resolved metabolomics, and it will further promote its application in life science, and drug research and development.
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
暴躁的水蜜桃完成签到 ,获得积分10
1秒前
小懒猪完成签到,获得积分10
1秒前
2秒前
初见秋风发布了新的文献求助10
3秒前
科研通AI6.3应助微笑猎豹采纳,获得50
3秒前
YZJing完成签到,获得积分10
3秒前
li完成签到 ,获得积分10
4秒前
4秒前
霓裳快雨完成签到 ,获得积分10
5秒前
7秒前
10秒前
斯文败类应助fduqyy采纳,获得30
10秒前
11秒前
风汐5423完成签到,获得积分10
11秒前
TFY发布了新的文献求助10
12秒前
13秒前
woshi123应助听一万种声音采纳,获得30
13秒前
风汐5423发布了新的文献求助10
14秒前
打打应助初见秋风采纳,获得10
14秒前
上官若男应助大意的罡采纳,获得10
14秒前
zzd完成签到,获得积分10
15秒前
15秒前
16秒前
chen完成签到,获得积分10
16秒前
17秒前
铱凡发布了新的文献求助10
17秒前
Una发布了新的文献求助10
17秒前
pp发布了新的文献求助30
17秒前
听安完成签到 ,获得积分10
17秒前
18秒前
18秒前
专注可乐完成签到,获得积分10
20秒前
科研通AI6.3应助微笑猎豹采纳,获得10
20秒前
20秒前
21秒前
fduqyy发布了新的文献求助30
21秒前
miao发布了新的文献求助10
22秒前
23秒前
29718916797发布了新的文献求助10
23秒前
24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
Child and Adolescent Mental Health 600
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
Electric machines: theory, operating applications, and controls 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 7600027
求助须知:如何正确求助?哪些是违规求助? 9176144
关于积分的说明 19648011
捐赠科研通 7176125
什么是DOI,文献DOI怎么找? 3268564
关于科研通互助平台的介绍 2433035
邀请新用户注册赠送积分活动 2262135