Discrimination of the rare medicinal plant Dendrobium officinale based on naringenin, bibenzyl, and polysaccharides

石斛 双苄基 柚皮素 多糖 化学 植物 食品科学 生物 类黄酮 生物化学 立体化学 抗氧化剂
作者
Xiaomei Chen,FangFei Wang,Yunqiang Wang,Xuelan Li,AiRong Wang,ChunLan Wang,Shun‐Xing Guo
出处
期刊:Science China-life Sciences [Springer Nature]
卷期号:55 (12): 1092-1099 被引量:57
标识
DOI:10.1007/s11427-012-4419-3
摘要

The aim of this study was to establish a method for discriminating Dendrobium officinale from four of its close relatives Dendrobium chrysanthum, Dendrobium crystallinum, Dendrobium aphyllum and Dendrobium devonianum based on chemical composition analysis. We analyzed 62 samples of 24 Dendrobium species. High performance liquid chromatography analysis confirmed that the four low molecular weight compounds 4',5,7-trihydroxyflavanone (naringenin), 3,4-dihydroxy-4',5-dime-thoxybibenzyl (DDB-2), 3',4-dihydroxy-3,5'-dimethoxybibenzyl (gigantol), and 4,4'-dihydroxy-3,3',5-trimethoxybibenzy (moscatilin), were common in the genus. The phenol-sulfuric acid method was used to quantify polysaccharides, and the monosaccharide composition of the polysaccharides was determined by gas chromatography. Stepwise discriminant analysis was used to differentiate among the five closely related species based on the chemical composition analysis. This proved to be a simple and accurate approach for discriminating among these species. The results also showed that the polysaccharide content, the amounts of the four low molecular weight compounds, and the mannose to glucose ratio, were important factors for species discriminant. Therefore, we propose that a chemical analysis based on quantification of naringenin, bibenzyl, and polysaccharides is effective for identifying D. officinale.
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
小甜瓜完成签到,获得积分10
1秒前
2秒前
yxw发布了新的文献求助10
3秒前
lili完成签到,获得积分10
3秒前
澄钰羽完成签到,获得积分10
3秒前
Wang发布了新的文献求助10
3秒前
神经蛙发布了新的文献求助10
3秒前
巷南棠完成签到,获得积分10
4秒前
4秒前
小能猫发布了新的文献求助10
4秒前
4秒前
顺其自然_666888完成签到,获得积分10
4秒前
cazer_Wang发布了新的文献求助10
5秒前
荻de一次方完成签到,获得积分10
5秒前
8秒前
8秒前
8秒前
True发布了新的文献求助10
8秒前
slim发布了新的文献求助10
8秒前
9秒前
9秒前
9秒前
舒心的月亮完成签到,获得积分10
9秒前
小鳄鱼夸夸完成签到,获得积分10
9秒前
asdfghj完成签到,获得积分10
9秒前
9秒前
CipherSage应助vink采纳,获得10
9秒前
10秒前
曹曹完成签到,获得积分10
10秒前
李健应助一路向北采纳,获得10
10秒前
CipherSage应助周周采纳,获得10
11秒前
11秒前
12秒前
Royal完成签到 ,获得积分10
13秒前
虚幻的紫菜关注了科研通微信公众号
13秒前
积极向雪完成签到,获得积分10
13秒前
13秒前
True完成签到,获得积分10
13秒前
rat完成签到,获得积分10
14秒前
瓜波牛排发布了新的文献求助10
14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
Aerospace Standards Index - 2026 ASIN2026 3000
Relation between chemical structure and local anesthetic action: tertiary alkylamine derivatives of diphenylhydantoin 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Work Engagement and Employee Well-being 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6068794
求助须知:如何正确求助?哪些是违规求助? 7900865
关于积分的说明 16331862
捐赠科研通 5210166
什么是DOI,文献DOI怎么找? 2786815
邀请新用户注册赠送积分活动 1769707
关于科研通互助平台的介绍 1647925