Simultaneous quantification of both triterpenoid and steroidal saponins in various Yunnan Baiyao preparations using HPLC–UV and HPLC–MS

色谱法 高效液相色谱法 化学 校准曲线 三萜类 检出限 立体化学
作者
Xiao‐Xiao Liu,Lei Wang,Xiaoqing Chen,Xue‐Tao Deng,Yuan Cao,Qiang Wang
出处
期刊:Journal of Separation Science [Wiley]
卷期号:31 (22): 3834-3846 被引量:24
标识
DOI:10.1002/jssc.200800382
摘要

Abstract Yunnan Baiyao (YNBY) is one of the best known traditional Chinese medicines. Saponins are considered to be its active components. In this study, an HPLC method was first developed for the simultaneous quantitative analysis of thirteen saponins, including five triterpenoid saponins and eight steroidal saponins, in a series of YNBY preparations, i. e. , powder, capsules, aerosol, toothpaste, plaster, and adhesive bandage. The pre‐treatment methods for each dosage form were investigated and optimized. The HPLC separation was performed on a Shim‐pack C 18 reversed‐phase column in gradient mode with UV detection at 203 nm. All calibration curves showed good linear regression ( r 2 ⪈ 0.9981) within the test ranges. Precisions and repeatabilities of the methods were better than 4.22 and 4.78%, respectively. Recoveries were better than 90.5%, even in the analysis of the least abundant saponins in a complex YNBY plaster. HPLC–ESI‐TOF/MS was used for definite identification of compounds in the preparations. This proposed method was successfully applied to quantify the 13 bioactive constituents in 27 commercial samples to evaluate the quality of YNBY preparations. The overall results demonstrate that this method is simple, reliable, and suitable for the quality control of YNBY. Furthermore, the retention behavior of these saponins in reversed‐phase chromatography is described.
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
1秒前
郑雨霏发布了新的文献求助10
1秒前
jiawang发布了新的文献求助10
2秒前
zcf发布了新的文献求助10
3秒前
好大白完成签到 ,获得积分10
3秒前
4秒前
4秒前
科研通AI6.4的应助被11采纳,获得10
4秒前
晶子的神发布了新的文献求助10
4秒前
5秒前
6秒前
gxh发布了新的文献求助10
6秒前
7秒前
7秒前
8秒前
8秒前
8秒前
ZCF_Timme的应助被郑雨霏采纳,获得10
8秒前
YANGZIX完成签到,获得积分10
9秒前
luluchenchen完成签到 ,获得积分10
10秒前
11秒前
大胆楷瑞完成签到,获得积分10
11秒前
Dreamer.完成签到,获得积分20
12秒前
超帅亦绿发布了新的文献求助10
13秒前
13秒前
13秒前
CipherSage的应助被隐形的baby采纳,获得10
14秒前
14秒前
14秒前
DrZhu实验顺顺利利完成签到,获得积分10
14秒前
15秒前
15秒前
坦率乐天完成签到 ,获得积分10
16秒前
CocaWater发布了新的文献求助10
16秒前
XX发布了新的文献求助150
17秒前
LYZH完成签到,获得积分10
17秒前
念汐发布了新的文献求助10
18秒前
20秒前
析纹时光完成签到 ,获得积分10
20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
Acceptability of Printed Boards 600
The Dawn of Philology 520
Organizational Behavior 510
Production Logging: Theoretical and Interpretive Elements 400
A primer on partial least squares structural equation modeling (PLS-SEM) (4th ed.) 310
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 有机化学 化学工程 内科学 物理 生物化学 复合材料 催化作用 细胞生物学 人工智能 心理学 无机化学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 7823381
求助须知:如何正确求助?哪些是违规求助? 9349846
关于积分的说明 20555194
捐赠科研通 7415966
什么是DOI,文献DOI怎么找? 3333939
关于科研通互助平台的介绍 2479343
邀请新用户注册赠送积分活动 2354056