Discrimination between raw and ginger juice processed Magnoliae officinalis cortex based on HPLC and Heracles NEO ultra‐fast gas phase electronic nose

厚朴酚 化学 和厚朴酚 厚朴 电子鼻 色谱法 官房 气味 高效液相色谱法 食品科学 传统医学 中医药 有机化学 生物 医学 替代医学 病理 神经科学
作者
Kewei Zhang,Jing Wang,Xingchen Fan,Guangfei Zhu,Tulin Lu,Rong Xue
出处
期刊:Phytochemical Analysis [Wiley]
卷期号:33 (5): 722-734 被引量:9
标识
DOI:10.1002/pca.3123
摘要

Abstract Introduction Magnoliae officinalis cortex (MOC), a traditional Chinese medicine, has been used in treating gastrointestinal diseases since ancient time. According to the Chinese Pharmacopoeia, it includes two kinds of decoction pieces, raw and ginger juice processed Magnoliae officinalis cortex (RMOC and GMOC). Objective The aim of this paper was to study the differences between non‐volatile and volatile components in RMOC and GMOC. Methods The non‐volatile components were detected by HPLC fingerprinting coupled with content determination (syringin, magnoflorine, honokiol and magnolol). Meanwhile, their odor information was obtained using a Heracles NEO ultra‐fast gas phase electronic nose to conduct radar fingerprint analysis, principal component analysis and discriminant factor analysis, and the volatile components were analyzed qualitatively by the Kovats retention index and the AroChemBase database. Results The HPLC fingerprints were established and 20 common peaks were found in all chromatograms with similarity values of more than 0.900. The content determination results showed that the contents of syringin and magnoflorine decreased, while the contents of honokiol and magnolol increased in GMOC. By the gas phase electronic nose, the two decoction pieces could be distinguished obviously and 16 possible compounds were identified. Among them, the relative contents of (−)‐α‐pinene and β‐pinene increased, while β‐phellandrene and (+)‐limonene levels decreased. Conclusion The results suggested that honokiol, magnolol, (−)‐α‐pinene and β‐pinene might be the main substances which could enhance the harmonizing effect on the stomach. Moreover, this paper could lay a foundation for exploring the processing mechanism of MOC and provide a novel method for the research of other traditional Chinese medicine with strong aroma.
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
飞羽发布了新的文献求助10
1秒前
爆米花应助X0RB64采纳,获得10
1秒前
Shayulajiao发布了新的文献求助10
2秒前
免VVVV免发布了新的文献求助10
3秒前
斗斗发布了新的文献求助10
5秒前
5秒前
阿伦完成签到,获得积分20
5秒前
5秒前
Shayulajiao完成签到,获得积分10
5秒前
everglow完成签到,获得积分20
5秒前
博士完成签到 ,获得积分10
6秒前
科研通AI2S应助Lym采纳,获得10
7秒前
7秒前
7秒前
8秒前
免VVVV免完成签到,获得积分10
9秒前
酷波er应助阿伦采纳,获得10
9秒前
nsc发布了新的文献求助10
10秒前
10秒前
把握当下发布了新的文献求助10
10秒前
CipherSage应助柏特瑞采纳,获得10
11秒前
cc完成签到,获得积分10
11秒前
牧之原翔子完成签到,获得积分10
12秒前
12秒前
快乐雅柏发布了新的文献求助10
12秒前
Hui发布了新的文献求助10
13秒前
14秒前
幻幻完成签到 ,获得积分10
15秒前
斗斗完成签到,获得积分10
15秒前
科目三应助华北走地鸡采纳,获得10
16秒前
十五发布了新的文献求助20
16秒前
共享精神应助nsc采纳,获得10
16秒前
17秒前
正直的沛凝完成签到,获得积分10
18秒前
18秒前
18秒前
快乐雅柏完成签到,获得积分20
18秒前
方半仙发布了新的文献求助10
19秒前
cocolu应助Kathy采纳,获得30
20秒前
22秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2500
Востребованный временем 2500
Hopemont Capacity Assessment Interview manual and scoring guide 1000
Classics in Total Synthesis IV: New Targets, Strategies, Methods 1000
Neuromuscular and Electrodiagnostic Medicine Board Review 700
中介效应和调节效应模型进阶 400
Refractive Index Metrology of Optical Polymers 400
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3443733
求助须知:如何正确求助?哪些是违规求助? 3039898
关于积分的说明 8978605
捐赠科研通 2728387
什么是DOI,文献DOI怎么找? 1496507
科研通“疑难数据库(出版商)”最低求助积分说明 691668
邀请新用户注册赠送积分活动 689213