Rapid Characterization of the Constituents in Shenhua Tablets by UHPLC‐Q‐Orbitrap‐LTQ‐MS

轨道轨道 色谱法 化学 化学成分 质谱 质谱法 四极离子阱 分析化学(期刊) 离子阱
作者
Mengmeng Wang,Ping Li,Fengting Yin,Huiqiang Liu,Hui Sun,Ying Zheng,Chang Liu,Yuhang Wang,Xiangmei Chen,Shihan Guan,Xijun Wang
出处
期刊:Journal of Separation Science [Wiley]
卷期号:47 (23): e70030-e70030 被引量:7
标识
DOI:10.1002/jssc.70030
摘要

ABSTRACT Shenhua Tablet (SHT), a Chinese herbal medicine comprising seven crude drugs, is utilized in the treatment of immunoglobulin A nephropathy (IgAN). However, due to its complex composition, the chemical constituents of SHT in vitro are still incompletely known, which has restricted the comprehensive development and utilization of SHT in clinical practice. In the present study based on ultra‐high performance liquid chromatography‐quadrupole‐orbitrap‐linear ion trap mass spectrometry (UHPLC‐Q‐Orbitrap‐LTQ‐MS) in data dependent acquisition mode, combining the accurate mass and structural information, the profiling and characterization of chemical constituents in SHT were carried out. The automated spectral matching (of experimental MS 2 spectra against library spectra of mzCloud) method with a high mass accuracy (within 5 ppm) was used for the rapid identification of compounds. A total of 183 compounds, consisting of 64 flavonoids, 52 terpenoids, 37 organic acids, 6 phenylpropanoids, 5 phenols, and 19 other phytochemicals, were successfully characterized. In addition, the fragmentation pathways and characteristic fragments of some representative compounds were elucidated. The results offered clear insights into its chemical profile, thereby facilitating quality control and advancing pharmacological research.
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
刚刚
刚刚
丘比特应助ypqisgood采纳,获得10
刚刚
SciGPT应助sunwending采纳,获得10
1秒前
1秒前
乐乐应助chillax采纳,获得10
1秒前
天气预报员完成签到,获得积分10
1秒前
小马甲应助灰灰一定行采纳,获得10
1秒前
1秒前
1秒前
研友_LN3NWn发布了新的文献求助10
2秒前
机智皮皮虾完成签到,获得积分10
3秒前
墨雪归青发布了新的文献求助10
4秒前
hzhang0807发布了新的文献求助10
5秒前
大吉大利完成签到 ,获得积分20
5秒前
5秒前
施忠垒完成签到 ,获得积分10
5秒前
6秒前
Z梦完成签到,获得积分10
6秒前
6秒前
冯冯完成签到 ,获得积分10
6秒前
junxu发布了新的文献求助10
7秒前
打打应助莽哥采纳,获得10
8秒前
8秒前
ypqisgood完成签到,获得积分10
9秒前
诚心冬亦完成签到,获得积分10
9秒前
goldNAN发布了新的文献求助10
9秒前
lhn发布了新的文献求助10
9秒前
秦策发布了新的文献求助10
10秒前
hzhang0807完成签到,获得积分10
10秒前
NexusExplorer应助Lou采纳,获得10
10秒前
10秒前
11秒前
shiyi完成签到,获得积分20
11秒前
在水一方应助litow采纳,获得10
12秒前
12秒前
12秒前
李健应助Selenge采纳,获得10
12秒前
斯文败类应助临风不自傲采纳,获得10
12秒前
12秒前
高分求助中
GL 2 A method for assessing the in-place cleanability of food processing equipment, Fourth Edition, December 2023 3000
Annie Ernaux: De la perte au corps glorieux 600
Microvascular Surgery in Head and Neck Reconstruction 500
Petrology and Plate Tectonics 500
Writing Systems 500
Media Today Mass Communication in a Converging World 9th Edition 400
Understanding Modeling and Simulation of Polymerization Reactions 400
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6838062
求助须知:如何正确求助?哪些是违规求助? 8546881
关于积分的说明 18184177
捐赠科研通 6185348
什么是DOI,文献DOI怎么找? 3039026
关于科研通互助平台的介绍 2027682
邀请新用户注册赠送积分活动 2016441