Investigation of a novel method for quality control of Chinese herbal compound prescription: HPLC fingerprint and multi-index components combining blending technology control for quality stability of Zhou's prescription extract

指纹(计算) 药方 主成分分析 色谱法 高效液相色谱法 质量(理念) 质量评定 计算机科学 数学 化学 人工智能 工程类 医学 评价方法 物理 可靠性工程 药理学 量子力学
作者
Zhong-Liang Tang,Yin Lian,Fang Wu,Xu Zhang
出处
期刊:Analytical Methods [Royal Society of Chemistry]
卷期号:6 (12): 4158-4158 被引量:10
标识
DOI:10.1039/c3ay41884g
摘要

A novel method that combines high performance liquid chromatography (HPLC) fingerprint with blending technology was developed and validated for ensuring quality stability of Zhou's prescription extract. For fingerprint analysis, 32 peaks were selected as the common peaks by comparing the chromatograms of 15 batches of Zhou's prescription extracts. Meanwhile, these common peaks were identified by using electronic spray ion mass spectrometry. The batch, which contained herbs that were obtained from geo-authentic habitats during their best harvest times, was selected as the standard extract (SE). The quality difference between SE and 14 batches of Zhou's prescription extracts was evaluated by using the fingerprint similarity, relative deviation of content (RDC), hierarchical clustering analysis (HCA) and principal component analysis (PCA), and narrowed by applying blending technology that could lead to homogenization of high quality of the 14 batches of Zhou's prescription extracts by using nonlinear programming. According to the mode of finding difference and narrowing difference, the previous two kinds of quality control method was combined smartly to ensure the quality stability of Zhou's prescription. Finally, this method was verified and the results indicated that fingerprint similarities of 10 different blending schemes increased to the range of 0.9208 to 0.9797 from 0.7338 to 0.8925. The average RDCs of 28 index components decreased to the range of 0.1549 to 0.2790 from 0.4768 to 0.6083. The diagrams of HCA and PCA show that the 10 blending schemes were grouped with the standard Zhou's prescription extract. These results demonstrated that this new method is an efficient and reliable approach for ensuring quality stability of Zhou's prescription extract.
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
shasha发布了新的文献求助10
2秒前
Jasper应助兰先生采纳,获得10
5秒前
咄咄完成签到 ,获得积分10
8秒前
顾矜应助逍遥游采纳,获得10
8秒前
9秒前
顾矜应助椰椰采纳,获得10
11秒前
如意小兔子应助lihaichuan采纳,获得50
13秒前
完美世界应助Markov采纳,获得10
16秒前
科研牛马发布了新的文献求助10
16秒前
疯狂的巨蟹完成签到,获得积分10
17秒前
对数单身狗完成签到,获得积分10
18秒前
20秒前
20秒前
23秒前
开朗寇发布了新的文献求助10
25秒前
倩倩发布了新的文献求助10
25秒前
啦啦啦发布了新的文献求助10
26秒前
gdh33669完成签到,获得积分10
27秒前
30秒前
李爱国应助DZT采纳,获得20
30秒前
立冬完成签到,获得积分10
31秒前
drfwjuikesv完成签到,获得积分10
32秒前
茉莉花发布了新的文献求助10
33秒前
科研通AI2S应助hanm采纳,获得10
35秒前
天宇完成签到,获得积分10
35秒前
37秒前
打打应助开朗寇采纳,获得10
37秒前
37秒前
未来发布了新的文献求助10
37秒前
37秒前
38秒前
42秒前
DZT发布了新的文献求助20
43秒前
cijing发布了新的文献求助10
43秒前
时光友岸完成签到,获得积分10
44秒前
历史真相发布了新的文献求助10
46秒前
46秒前
CodeCraft应助科研通管家采纳,获得10
46秒前
11235应助科研通管家采纳,获得10
46秒前
脑洞疼应助科研通管家采纳,获得10
47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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Mass participant sport event brand associations: an analysis of two event categories 500
Photodetectors: From Ultraviolet to Infrared 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 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 6354704
求助须知:如何正确求助?哪些是违规求助? 8169807
关于积分的说明 17197992
捐赠科研通 5410663
什么是DOI,文献DOI怎么找? 2864105
邀请新用户注册赠送积分活动 1841625
关于科研通互助平台的介绍 1690050