Rapid classification and identification of chemical constituents in Epimedium koreanum Nakai by UPLC‐Q‐TOF‐MS combined with data post‐processing techniques

化学 色谱法 梯度洗脱 甲酸 化学成分 高效液相色谱法 四极飞行时间 质谱法 苯乙醇 串联质谱法 糖苷 有机化学
作者
Ning Li,Lijuan Xie,Na Yang,Guijiang Sun,Hui Liu,Chenghao Bi,Jingyi Duan,Yuan Yu,Hongxin Yu,Yanyan Xu,Yubo Li
出处
期刊:Phytochemical Analysis [Wiley]
卷期号:32 (4): 575-591 被引量:35
标识
DOI:10.1002/pca.3007
摘要

INTRODUCTION: Epimedium koreanum Nakai (EKN), is a well-known Chinese herbal medicine for the treatment of osteoporosis, immunosuppression, tumours and cardiovascular diseases. Comprehensive component identification is essential for elucidation of its pharmacological mechanism and quality control. However, its complex chemical composition has caused certain difficulties in the analysis of this traditional Chinese medicine (TCM). Therefore, there is an urgent need to establish a method for rapid classification and identification of EKN chemical components. OBJECTIVE: To establish a method for rapid classification and identification of the main components of flavonoids, organic acids and alkaloids in EKN. METHODS: column to separate the total extract of EKN. The mobile phase consisted of 0.1% formic acid in water and acetonitrile, and the EKN extract was analysed by gradient elution at a flow rate of 0.4 mL/min. In both the positive and negative ion modes, the fragment information was obtained and compared with those of the characteristic fragmentations and neutral losses described in the literature to quickly identify the target compounds. RESULTS: Finally, we successfully screened out 51 chemical components, including 40 flavonoids, nine organic acids, and two alkaloids. CONCLUSION: The established method not only comprehensively analysed the chemical compositions of EKN, solved the difficult problems of analysis and identification of the complex chemical compositions of the TCM, but also further promoted the development of the application of chemical compositions of TCM.
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
倩倩0857完成签到,获得积分10
刚刚
zain完成签到 ,获得积分10
刚刚
王以爽发布了新的文献求助10
1秒前
andre完成签到,获得积分10
1秒前
阿鱼完成签到 ,获得积分10
1秒前
mm发布了新的文献求助20
1秒前
zzzz发布了新的文献求助10
1秒前
小二郎应助洁净雨采纳,获得10
2秒前
huang完成签到,获得积分10
2秒前
Debra完成签到,获得积分10
2秒前
2秒前
3秒前
Neo发布了新的文献求助10
3秒前
云霓完成签到,获得积分10
3秒前
ZZH完成签到,获得积分10
3秒前
3秒前
wyg1994发布了新的文献求助10
3秒前
3秒前
小谭杉菜发布了新的文献求助10
3秒前
一鱼yu完成签到,获得积分10
3秒前
爆米花应助小车采纳,获得10
4秒前
科研通AI6.3应助ttt采纳,获得10
4秒前
科研通AI6.4应助ttt采纳,获得10
4秒前
2滴水完成签到,获得积分10
4秒前
4秒前
4秒前
sa完成签到,获得积分20
4秒前
5秒前
lokiyyy完成签到,获得积分10
5秒前
molihuakai应助坦率的丹云采纳,获得10
7秒前
SSY完成签到,获得积分10
7秒前
Rafaeleb完成签到,获得积分10
8秒前
张昊宇完成签到,获得积分10
8秒前
刘振岁发布了新的文献求助10
8秒前
阿浩完成签到,获得积分10
8秒前
Mm林发布了新的文献求助10
8秒前
ECT完成签到,获得积分10
9秒前
iuiu666完成签到,获得积分10
9秒前
wei完成签到,获得积分20
9秒前
9秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 7298870
求助须知:如何正确求助?哪些是违规求助? 8917389
关于积分的说明 18882902
捐赠科研通 6963979
什么是DOI,文献DOI怎么找? 3210773
关于科研通互助平台的介绍 2380094
邀请新用户注册赠送积分活动 2187290