Visualizing the Spatial Distribution of Metabolites in Angelica sinensis Roots by Matrix‐Assisted Laser Desorption/Ionization Mass Spectrometry Imaging

化学 当归 质谱法 质谱成像 色谱法 基质辅助激光解吸/电离 解吸 分析化学(期刊) 有机化学 医学 病理 吸附 中医药 替代医学
作者
Xiaofei Yue,Feng Li,Chenglong Sun,Lu Wang
出处
期刊:Phytochemical Analysis [Wiley]
卷期号:36 (4): 1245-1251 被引量:2
标识
DOI:10.1002/pca.3507
摘要

ABSTRACT Introduction Angelica sinensis is one of the most popular traditional Chinese medicines (TCM) and has been extensively used to treat various diseases. Hundreds of endogenous ingredients have been isolated and identified from this herb, but their spatial distribution within the plant root is largely unknown. Objectives In this study, we tried to investigate and map within‐tissue spatial distribution of metabolites in Angelica sinensis roots. Material and Methods After optimization of experiment conditions, the 1,5‐diaminonaphthalene (1,5‐DAN) was chosen as the matrix and was sprayed on the surface of root sections. Then matrix‐assisted laser desorption/ionization mass spectrometry imaging (MALDI‐MSI) was employed to perform in situ detection and obtain detail spatial distribution information of metabolites in Angelica sinensis roots. Results The spatial distributions of a wide range of metabolites including organic acids, amino acids, oligosaccharides, and phospholipids were characterized and visualized in Angelica sinensis roots. Majority of these metabolites were located in the phloem and xylem, while ferulic acid was mainly present in the cork layer. The results revealed a dramatic metabolic heterogeneity among different regions of the roots and distinct spatial distribution patterns of different metabolites. Additionally, the metabolic pathways involved in the biosynthesis of choline were also successfully localized and visualized. Conclusion This study comprehensively characterized the spatial distribution of metabolites in Angelica sinensis roots, which would prompt the understanding of its chemical separation, biosynthesis, and pharmacological activities.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
曲沛萍发布了新的文献求助10
刚刚
刚刚
道中道发布了新的文献求助10
刚刚
伶俐德天发布了新的文献求助20
刚刚
wackykao发布了新的文献求助10
1秒前
Lucas应助VDV采纳,获得10
1秒前
靓丽安珊发布了新的文献求助10
1秒前
hjq发布了新的文献求助10
1秒前
量子星尘发布了新的文献求助10
1秒前
1秒前
fu发布了新的文献求助10
2秒前
FashionBoy应助鸵鸟采纳,获得10
2秒前
3秒前
alier完成签到,获得积分10
3秒前
快乐若翠完成签到,获得积分10
3秒前
华杰发布了新的文献求助10
3秒前
3秒前
昊儿虫完成签到 ,获得积分10
3秒前
3秒前
3秒前
教生物的杨教授给教生物的杨教授的求助进行了留言
4秒前
飞小骆驼完成签到,获得积分10
4秒前
路过地球完成签到 ,获得积分10
4秒前
阿美完成签到,获得积分10
5秒前
5秒前
5秒前
5秒前
6秒前
gs发布了新的文献求助10
6秒前
6秒前
研友_841zXL完成签到,获得积分0
6秒前
童宝完成签到,获得积分10
7秒前
天天快乐应助吃菠萝大王采纳,获得10
7秒前
酷波er应助火星上云朵采纳,获得10
7秒前
Hyh_发布了新的文献求助10
7秒前
爱库珀发布了新的文献求助10
8秒前
histhb完成签到,获得积分10
8秒前
搜集达人应助华杰采纳,获得10
8秒前
9秒前
江川直子完成签到,获得积分10
9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
List of 1,091 Public Pension Profiles by Region 1561
Specialist Periodical Reports - Organometallic Chemistry Organometallic Chemistry: Volume 46 1000
Current Trends in Drug Discovery, Development and Delivery (CTD4-2022) 800
Foregrounding Marking Shift in Sundanese Written Narrative Segments 600
Holistic Discourse Analysis 600
Beyond the sentence: discourse and sentential form / edited by Jessica R. Wirth 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5519544
求助须知:如何正确求助?哪些是违规求助? 4611607
关于积分的说明 14529535
捐赠科研通 4549077
什么是DOI,文献DOI怎么找? 2492697
邀请新用户注册赠送积分活动 1473841
关于科研通互助平台的介绍 1445668