Comprehensive multicomponent characterization and quality assessment of Xiaoyao Wan by UPLC-Q-Orbitrap-MS, HS-SPME-GC-MS and HS-GC-IMS

轨道轨道 化学 色谱法 质谱法 气相色谱-质谱法 固相微萃取 气相色谱法 质量评定 外部质量评估 医学 病理
作者
Jiaxin Yin,Tong Wu,Beibei Zhu,Pengdi Cui,Yang Zhang,Xue Chen,Hui Ding,Lifeng Han,Songtao Bie,Fangyi Li,Xinbo Song,Heshui Yu,Zheng Li
出处
期刊:Journal of Pharmaceutical and Biomedical Analysis [Elsevier BV]
卷期号:239: 115910-115910 被引量:19
标识
DOI:10.1016/j.jpba.2023.115910
摘要

Xiaoyao Wan (XYW) is a prescription medicine of traditional Chinese medicine (TCM) with the effects of "soothing the liver and relieving depression," and "strengthening spleen and nourishing blood". XYW has been widely concerned in the treatment of depression and has become one of the commonly used classic formulas in clinical practice. However, the pharmacodynamic substance basis and the quality control studies of XYW are hitherto quite limited. Here, we aim to fully utilize an advanced ultra – performance liquid chromatography-quadrupole – Orbitrap mass spectrometry (UPLC-Q-Orbitrap-MS), headspace-solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) and headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) technique to deep characterization of the pharmacological substance basis and quantitatively evaluate the quality of XYW. Firstly, 299 compounds were identified or tentatively characterized, including 198 non-volatile organic compounds (n-VOCs) and 101 volatile organic compounds (VOCs). Secondly, principal component analysis (PCA) and hierarchical cluster analysis (HCA) was used to analyze quality differences in XYW at different manufacturers. Thirdly, a parallel reaction monitoring (PRM) method was established and validated to quantify the fourteen major effective substances in different manufacturers of XYW, which were chosen as the benchmarked substances to evaluate the quality of XYW. In conclusion, this study shows that the strategy provides a useful method for quality control of TCM and offers a practical workflow for exploring the quality consistency 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
慕青应助nice_bigday采纳,获得10
刚刚
刚刚
科研通AI6.4应助闵卷采纳,获得10
1秒前
瓜瓜完成签到,获得积分20
2秒前
科研通AI6.4应助123采纳,获得10
2秒前
xyxy16c关注了科研通微信公众号
2秒前
3秒前
小巧尔岚完成签到,获得积分10
4秒前
wanjingwan发布了新的文献求助10
5秒前
蕉满楼发布了新的文献求助30
6秒前
张玮完成签到,获得积分20
7秒前
Csm完成签到,获得积分10
8秒前
发阿发完成签到,获得积分10
8秒前
9秒前
BIGDUCK发布了新的文献求助10
10秒前
11秒前
小二郎应助JiayanLee采纳,获得10
11秒前
XT关闭了XT文献求助
12秒前
12秒前
13秒前
13秒前
桃酥完成签到,获得积分10
14秒前
www发布了新的文献求助30
14秒前
16秒前
16秒前
现代书雪发布了新的文献求助10
17秒前
17秒前
朱琼慧完成签到,获得积分10
18秒前
陈明珠完成签到,获得积分20
18秒前
扎克斯2号发布了新的文献求助10
18秒前
19秒前
20秒前
20秒前
wanjingwan完成签到,获得积分10
20秒前
迷你的颖完成签到,获得积分10
20秒前
20秒前
俏皮的孤丹完成签到 ,获得积分10
22秒前
MG发布了新的文献求助10
22秒前
22秒前
张胜男发布了新的文献求助10
23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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
The Effective Clinical Neurologist 3ed 500
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 7714322
求助须知:如何正确求助?哪些是违规求助? 9269771
关于积分的说明 20078363
捐赠科研通 7290670
什么是DOI,文献DOI怎么找? 3298173
关于科研通互助平台的介绍 2452391
邀请新用户注册赠送积分活动 2305488