Characterization of the chemical constituents and in vivo metabolic profile of Scutellaria barbata D. Don by ultra high performance liquid chromatography with high‐resolution mass spectrometry

葡萄糖醛酸化 质谱法 化学 色谱法 代谢途径 代谢组学 四极飞行时间 体内 串联质谱法 生物化学 新陈代谢 生物 体外 微粒体 生物技术
作者
Kang An,Jialu Jiang,Qin Li,Xianjie Sheng,Yan Chen,Jiani Tan,Liu Li,Weixing Shen,Dongxin Tang,Haibo Cheng,Dongdong Sun
出处
期刊:Journal of Separation Science [Wiley]
卷期号:45 (9): 1600-1609 被引量:17
标识
DOI:10.1002/jssc.202100852
摘要

Scutellaria barbata D. Don (S. barbata) is one of the most frequently used anticancer herb medicine in China. Mechanistic understanding of the biological activities of S. barbata is hindered by limited knowledge regarding its components and metabolic profile. In this study, ultra-high-performance liquid chromatography coupled with high resolution mass spectrometry (quadrupole time-of-flight mass spectrometry) was used to identify the chemical constituents in S. barbata and their metabolic profiles in rats. By applying cleavage rules and comparison with reference substances, 89 components were identified in S. barbata, which included 45 flavonoids, 28 diterpenoids, 10 phenolics, and 6 others. A total of 110 compounds, including 32 prototype compounds and 78 metabolites, were identified or tentatively characterized in vivo. Methylation, sulfonation, and glucuronidation were the main metabolic pathways, which could be attributed to the fact that several of the compounds in S. barbata have phenolic hydroxyl groups. This is the first systematic study on the chemical constituents and in vivo metabolic profile of S. barbata. The analytical method features a quick and comprehensive dissection of the chemical composition and metabolic profile of S. barbata and provides a basis for exploring its various biological 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
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
烟花的应助被DT采纳,获得10
1秒前
Pami发布了新的文献求助10
2秒前
2秒前
3秒前
4秒前
5秒前
5秒前
搜集达人的应助被ghg采纳,获得10
6秒前
7秒前
秋风的应助被avalin采纳,获得10
7秒前
周星星发布了新的文献求助10
7秒前
共产主义战士的应助被Pami采纳,获得10
7秒前
9秒前
王露发布了新的文献求助10
9秒前
Zzoe发布了新的文献求助10
9秒前
吴大王发布了新的文献求助10
10秒前
王露完成签到 ,获得积分10
11秒前
13秒前
wzj发布了新的文献求助10
14秒前
kingsley发布了新的文献求助10
18秒前
慕青的应助被DT采纳,获得10
19秒前
独特的不尤完成签到,获得积分10
20秒前
熊猫完成签到,获得积分0
20秒前
甩甩鞭毛得了完成签到 ,获得积分10
21秒前
铠甲勇士发布了新的文献求助10
23秒前
Zzoe完成签到,获得积分20
23秒前
mictime完成签到,获得积分10
24秒前
24秒前
科研通AI6.4的应助被xxx采纳,获得10
24秒前
25秒前
甩甩鞭毛得了关注了科研通微信公众号
29秒前
Owen的应助被Qiaoguliang采纳,获得10
29秒前
沐沐完成签到,获得积分10
30秒前
开心晓灵完成签到,获得积分10
30秒前
爆米花的应助被会飞的裤裆采纳,获得30
31秒前
pluto的应助被yan采纳,获得10
31秒前
jin发布了新的文献求助10
33秒前
34秒前
自由雪冥发布了新的文献求助10
34秒前
星辰大海的应助被小圭采纳,获得10
36秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
The Student's Guide to Social Neuroscience 600
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
A Will for the Machine: Computerization, Automation, and the Arts in South Africa 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7811306
求助须知:如何正确求助?哪些是违规求助? 9342803
关于积分的说明 20514913
捐赠科研通 7404179
什么是DOI,文献DOI怎么找? 3329662
关于科研通互助平台的介绍 2476417
邀请新用户注册赠送积分活动 2348722