Study on quality control of Zuojin pill by HPLC fingerprint with quantitative analysis of multi-components by single marker method and antioxidant activity analysis

指纹(计算) 偏最小二乘回归 化学 线性判别分析 主成分分析 色谱法 小檗碱 高效液相色谱法 定量分析(化学) 人工智能 模式识别(心理学) 统计 数学 计算机科学 生物化学
作者
Dongwu Wang,Xiaoting Gu,Kewang Fang,Buyun Fu,Youping Liu,Xin Di
出处
期刊:Journal of Pharmaceutical and Biomedical Analysis [Elsevier]
卷期号:225: 115075-115075 被引量:15
标识
DOI:10.1016/j.jpba.2022.115075
摘要

Current quality control methods for Zuojin Pill (ZJP) lack comprehensiveness and practicability. This study aimed to develop a comprehensive strategy for the quality evaluation of ZJP and the prediction of potential bioactive components in ZJP. First, an HPLC method with excellent separation of main components was developed and was used to establish the chromatographic fingerprint of ZJP. Similarities were calculated by comparing 28 batches of ZJPs with the reference fingerprint and the resulting similarity values were all greater than 0.976. The 28 samples were classified into different groups according to their origins by Hierarchical Cluster Analysis, Principal component analysis, and orthogonal partial least squares discriminant analysis. Based on the classification, eight quality markers (Q-Markers) affecting the quality of ZJP were discovered. Then, using berberine as an internal standard substance, quantitative analysis of multi-components by single marker method (QAMS) for the determination of eight Q-markers was developed. The results showed that there was no significant difference between QAMS and external standard method (P>0.05). Finally, using an off-line antioxidant system and partial least-squares model (PLS), the fingerprint-efficacy relationship of ZJP was constructed to explore and predict the bioactive components in ZJP. The present study strategy could be also applied to comprehensive quality study of other TCMs.
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
1秒前
张晓林完成签到,获得积分20
2秒前
科研通AI6应助Olivia采纳,获得10
3秒前
在水一方应助v小飞侠101采纳,获得10
3秒前
5秒前
屎上雕花选手完成签到,获得积分10
6秒前
wryyyy完成签到,获得积分10
6秒前
虚幻代芙完成签到,获得积分20
7秒前
8秒前
zdz发布了新的文献求助60
8秒前
8秒前
9秒前
9秒前
儒雅的蓝天完成签到,获得积分10
9秒前
量子星尘发布了新的文献求助10
9秒前
张馨月完成签到,获得积分10
10秒前
pth发布了新的文献求助10
10秒前
田様应助laifeihong采纳,获得10
11秒前
xm发布了新的文献求助10
12秒前
薛建伟完成签到 ,获得积分10
12秒前
Awake完成签到,获得积分10
12秒前
现代书雪发布了新的文献求助10
13秒前
14秒前
pb发布了新的文献求助10
14秒前
开心的耳机完成签到 ,获得积分20
15秒前
15秒前
15秒前
xy完成签到 ,获得积分10
16秒前
16秒前
17秒前
ballonfish发布了新的文献求助10
17秒前
虚幻代芙发布了新的文献求助10
18秒前
仲谋发布了新的文献求助10
19秒前
19秒前
19秒前
20秒前
20秒前
大大大同完成签到,获得积分20
21秒前
22秒前
22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
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
化妆品原料学 1000
Psychology of Self-Regulation 800
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5642582
求助须知:如何正确求助?哪些是违规求助? 4759250
关于积分的说明 15018176
捐赠科研通 4801148
什么是DOI,文献DOI怎么找? 2566437
邀请新用户注册赠送积分活动 1524505
关于科研通互助平台的介绍 1484039