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 Science+Business Media]
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
2秒前
3秒前
浮游应助张豪杰采纳,获得10
4秒前
Thien发布了新的文献求助10
4秒前
5秒前
5秒前
6秒前
gude发布了新的文献求助10
6秒前
Ls完成签到 ,获得积分10
6秒前
繁星发布了新的文献求助20
7秒前
uone发布了新的文献求助20
7秒前
FashionBoy应助解惑大师采纳,获得10
7秒前
星辰大海应助twiser采纳,获得10
8秒前
魁梧的雨双完成签到,获得积分10
8秒前
9秒前
10秒前
小鱼儿发布了新的文献求助10
10秒前
WZQ发布了新的文献求助10
11秒前
无风完成签到 ,获得积分10
11秒前
12秒前
12秒前
小马发布了新的文献求助10
13秒前
黄千惠发布了新的文献求助10
15秒前
16秒前
Dean应助加菲丰丰采纳,获得50
17秒前
文艺紫菜应助科研通管家采纳,获得10
17秒前
陈佳丽应助科研通管家采纳,获得10
17秒前
丘比特应助科研通管家采纳,获得30
17秒前
单薄黑米发布了新的文献求助10
17秒前
852应助科研通管家采纳,获得10
17秒前
桐桐应助科研通管家采纳,获得10
17秒前
酷波er应助科研通管家采纳,获得10
17秒前
顾矜应助科研通管家采纳,获得30
17秒前
前路完成签到,获得积分0
17秒前
ding应助科研通管家采纳,获得10
17秒前
CipherSage应助科研通管家采纳,获得10
17秒前
科研通AI5应助科研通管家采纳,获得10
17秒前
桐桐应助科研通管家采纳,获得10
17秒前
18秒前
浮游应助科研通管家采纳,获得10
18秒前
高分求助中
Comprehensive Toxicology Fourth Edition 24000
(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
LRZ Gitlab附件(3D Matching of TerraSAR-X Derived Ground Control Points to Mobile Mapping Data 附件) 2000
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
World Nuclear Fuel Report: Global Scenarios for Demand and Supply Availability 2025-2040 800
Handbook of Social and Emotional Learning 800
Risankizumab Versus Ustekinumab For Patients with Moderate to Severe Crohn's Disease: Results from the Phase 3B SEQUENCE Study 600
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5133034
求助须知:如何正确求助?哪些是违规求助? 4334358
关于积分的说明 13503569
捐赠科研通 4171281
什么是DOI,文献DOI怎么找? 2287061
邀请新用户注册赠送积分活动 1287947
关于科研通互助平台的介绍 1228783