Chromatographic fingerprint combined with quantitative analysis of multi‐components by single‐marker for quality control of total lignans from Fructus arctii by high‐performance liquid chromatography

化学 牛蒡 色谱法 指纹(计算) 定量分析(化学) 主成分分析 高效液相色谱法 传统医学 数学 人工智能 统计 计算机科学 医学
作者
Jingyun Zhang,Jin‐wang Mei,Hai‐ying Wang,Zhaohui Xu
出处
期刊:Phytochemical Analysis [Wiley]
卷期号:33 (8): 1214-1224 被引量:4
标识
DOI:10.1002/pca.3172
摘要

The total lignans from Fructus arctii (TLFA) is a mixture of a series of lignans isolated from dried ripe fruit of Arctium lappa L. We previously reported on the pharmacological activity of TLFA that is related to diabetes. An accurate and practical TLFA quantitative analysis method for utilising it needs to be established.This study aimed to develop an effective quantitative analysis method for assessing the TLFA quality.A total of 11 marker components were confirmed by analysing the high-performance liquid chromatography fingerprints of 24 batches of TLFA samples. The samples were prepared from TLFA and structurally identified as lappaol H, lappaol C, arctiin, arctignan D, arctignan E, matairesinol, arctignan G, isolappaol A, lappaol A, arctigenin, and lappaol F. In the quantitative analysis of multi-components by the single-marker (QAMS) method and with arctiin as an internal reference substance, the content of these lignans in TLFA was simultaneously determined according to their relative correction factors with arctiin.There was no significant difference between results measured by the QAMS and traditional external standard methods. Hierarchical cluster and principal component analyses were performed to evaluate 24 TLFA batches based on the contents of 10 marker components. The results revealed that QAMS method combined with chemometric analyses could accurately measure and clearly distinguish the different quality samples of TLFA.The QAMS method is a reliable and promising quality control method for TLFA. It can provide a reference for promoting quality control of complex multi-component systems, especially for traditional Chinese medicine.
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
2秒前
小鱼要变咸完成签到,获得积分10
2秒前
CipherSage应助芝士采纳,获得10
3秒前
nmsla发布了新的文献求助10
3秒前
汎影发布了新的文献求助10
4秒前
端庄毛巾完成签到,获得积分10
4秒前
李健应助11111采纳,获得10
5秒前
粥粥爱糊糊完成签到,获得积分10
6秒前
tunacan发布了新的文献求助10
6秒前
饱满的书文完成签到,获得积分10
6秒前
舒适忆枫发布了新的文献求助10
7秒前
Ava应助神棍喜来乐采纳,获得10
7秒前
mirror应助1111chen采纳,获得10
9秒前
完美世界应助叶白山采纳,获得10
10秒前
10秒前
亭亭玉立发布了新的文献求助10
10秒前
东方元语应助舒心明杰采纳,获得20
11秒前
洞拐俩幺完成签到,获得积分10
11秒前
13秒前
lqy完成签到,获得积分10
13秒前
科研通AI6.1应助H_C采纳,获得20
14秒前
14秒前
zheng完成签到 ,获得积分10
14秒前
16秒前
繁星发布了新的文献求助10
16秒前
18秒前
魔幻若血发布了新的文献求助10
18秒前
11111发布了新的文献求助10
19秒前
19秒前
20秒前
脑洞疼应助李开心采纳,获得10
20秒前
20秒前
22秒前
hans发布了新的文献求助10
23秒前
24秒前
zhouxiaoyu发布了新的文献求助10
25秒前
望仔发布了新的文献求助10
25秒前
NexusExplorer应助大耳萌图采纳,获得10
26秒前
zzzz发布了新的文献求助10
26秒前
26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
Developing Genetic Editing Tools for Lysobacter 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
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 6526827
求助须知:如何正确求助?哪些是违规求助? 8319840
关于积分的说明 17809019
捐赠科研通 5628475
什么是DOI,文献DOI怎么找? 2929857
邀请新用户注册赠送积分活动 1906608
关于科研通互助平台的介绍 1766148