Comparative Investigation for Raw and Processed Products of Euodiae Fructus Based on High‐Performance Liquid Chromatography Fingerprints and Chemical Pattern Recognition

主成分分析 吴茱萸碱 化学 化学计量学 高效液相色谱法 线性判别分析 吴茱萸碱 偏最小二乘回归 指纹(计算) 色谱法 绿原酸 原材料 模式识别(心理学) 人工智能 数学 统计 有机化学 计算机科学
作者
Huanhuan Li,Tao Feng,Yingli Wen,Li Li,Yanan Liu,Xiaoliang Ren,Zhiying Dou
出处
期刊:Chemistry & Biodiversity [Wiley]
卷期号:18 (8) 被引量:10
标识
DOI:10.1002/cbdv.202100281
摘要

Abstract As a traditional Chinese medicine, Euodiae Fructus is widely used due to its analgesic, anti‐inflammatory, and antihypertensive effects. However, Euodiae Fructus has also been documented to be toxic, and the toxic effects can be reduced by processing. To distinguish Euodiae Fructus from its processes products and study the changes of raw and processed products before and after processing, we evaluated four auxiliary material processing methods including vinegar, Zingiberis Rhizoma, Coptidis Rhizoma, and Glycyrrhizae Radix et Rhizoma. The raw Euodiae Fructus and four processed Euodiae Fructus samples were analyzed and compared based on the high‐performance liquid chromatography (HPLC) fingerprints combined with chemometrics, including principal component analysis (PCA), partial least squares‐discriminant analysis (PLS‐DA), and principal component analysis‐class (PCA‐Class). A total of 27 common peaks were obtained by fingerprint analysis. The fingerprint similarity of raw and processed samples was between 0.86–0.999. We also determined the contents of the main active ingredients ‐ Evodiamine and Rutaecarpine. PCA and PLS‐DA analyses were used to distinguish between the raw and processed samples of Euodiae Fructus, and 14 chemical markers were screened out. Four kinds of processed products were further analyzed and the results showed that they could be successfully distinguished under the established models, and 12 chemical markers were labeled. PCA‐Class results revealed that the classification models constructed in this study had adequate discrimination ability. The method combined with HPLC fingerprinting and multi‐component chemical pattern recognition technology could be used to differentiate raw and processed Euodiae Fructus with adequate predictive power. Our findings confirmed the rationality of the pharmacopoeial method and provided a reference for the quality control of the Glycyrrhizae Radix et Rhizoma processed Euodiae Fructus.
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
搞怪故事发布了新的文献求助10
1秒前
别让我误会完成签到 ,获得积分10
1秒前
ding应助霸气的梦露采纳,获得10
4秒前
南方周末发布了新的文献求助10
5秒前
Tohka完成签到 ,获得积分10
6秒前
Goblin完成签到 ,获得积分10
6秒前
7秒前
Qu_Yun发布了新的文献求助10
9秒前
www完成签到 ,获得积分10
9秒前
花生完成签到 ,获得积分10
10秒前
Cao完成签到 ,获得积分10
12秒前
酷炫的毛巾应助雪宝宝采纳,获得10
12秒前
13秒前
15秒前
MOMO完成签到,获得积分10
15秒前
李善聪发布了新的文献求助20
16秒前
李健的小迷弟应助Alivelean采纳,获得10
16秒前
16秒前
CHENXIN532完成签到,获得积分10
16秒前
强风吹拂完成签到,获得积分10
17秒前
小满胜万全完成签到,获得积分10
17秒前
max完成签到,获得积分10
18秒前
tigger完成签到 ,获得积分10
18秒前
18秒前
19秒前
CHENXIN532发布了新的文献求助10
20秒前
21秒前
xiao_J发布了新的文献求助30
23秒前
立稳flag关注了科研通微信公众号
25秒前
ykxa完成签到,获得积分20
26秒前
29秒前
29秒前
明天好完成签到,获得积分10
29秒前
烟花应助科研通管家采纳,获得10
29秒前
科研通AI2S应助科研通管家采纳,获得10
29秒前
斯文败类应助科研通管家采纳,获得10
29秒前
pluto应助科研通管家采纳,获得20
29秒前
852应助科研通管家采纳,获得10
29秒前
29秒前
29秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
ISCN 2024 – An International System for Human Cytogenomic Nomenclature (2024) 3000
Continuum Thermodynamics and Material Modelling 2000
Encyclopedia of Geology (2nd Edition) 2000
105th Edition CRC Handbook of Chemistry and Physics 1600
Maneuvering of a Damaged Navy Combatant 650
Fashion Brand Visual Design Strategy Based on Value Co-creation 350
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3777918
求助须知:如何正确求助?哪些是违规求助? 3323510
关于积分的说明 10214551
捐赠科研通 3038674
什么是DOI,文献DOI怎么找? 1667606
邀请新用户注册赠送积分活动 798207
科研通“疑难数据库(出版商)”最低求助积分说明 758315