A simple method for distinguishing Dendrobium devonianum and Dendrobium officinale by ultra performance liquid chromatography-photo diode array detector

作者
Tao Lin,Xinglian Chen,Guangwei Wu,Ling-Jie Sha,Jing Wang,Zheng-Xu Hu,Hong-Cheng LIU
出处
期刊:Food Science and Technology [Sociedade Brasileira de Ciência e Tecnologia de Alimentos]
卷期号:43 被引量:6
标识
DOI:10.1590/fst.110122
摘要

Using UPLC and PDA detector, the fingerprints of Dendrobium devonianum and Dendrobium officinale produced in the Longling area of Yunnan Province, China were obtained quickly and efficiently, and 26 common peaks in Dendrobium devonianum and Dendrobium officinale samples were obtained by automatic peak matching through the “Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System”. The relative peak areas of the common peaks were analyzed by PCA using R, and the results showed that Dendrobium devonianum and Dendrobium officinale could be well distinguished by PCA, which was consistent with the analysis results of OPLS-DA. The results fully demonstrate that Dendrobium devonianum and Dendrobium officinale grown in the same area can be effectively distinguished by using the method of common peaks combined with stoichiometry. The VIP value of the 13 common peaks is greater than 1.0, which has a significant contribution to the difference and it was differential marker in Dendrobium devonianum and Dendrobium officinale. At the same time, normal-phase silica gel column chromatography was used to separate and purify the compounds that are related to the common peaks, and a total of 7 compounds were identified, among which eupatolide and isoschaftoside belong to differential markers and characteristic compounds in Dendrobium devonianum and Dendrobium officinale, which have good biological health care activity. The successful identification of Dendrobium devonianum and Dendrobium officinale in Longling area of Yunnan Province and the discovery of related differential markers play an important role in the further research and development of Dendrobium devonianum as a new food raw material and its products.

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
Manxi发布了新的文献求助10
刚刚
刚刚
充电宝的应助被豆腐青菜雨采纳,获得10
刚刚
小二郎的应助被www采纳,获得10
1秒前
火星上初翠完成签到,获得积分10
1秒前
hhh完成签到,获得积分10
2秒前
2秒前
平常溪流完成签到,获得积分10
2秒前
汉堡包的应助被柒玉染采纳,获得10
2秒前
Ngau完成签到,获得积分10
3秒前
毛毛发布了新的文献求助10
3秒前
222完成签到,获得积分10
3秒前
4秒前
balance完成签到 ,获得积分10
4秒前
豆腐青菜雨完成签到,获得积分10
4秒前
那爱意有完成签到 ,获得积分10
5秒前
现代山雁完成签到 ,获得积分10
5秒前
5秒前
Waou发布了新的文献求助10
5秒前
ferritin发布了新的文献求助10
6秒前
6秒前
6秒前
6秒前
222发布了新的文献求助10
6秒前
优美初曼完成签到,获得积分10
7秒前
7秒前
arcidia发布了新的文献求助10
7秒前
7秒前
8秒前
爆米花的应助被juzi_yugan采纳,获得30
8秒前
8秒前
8秒前
9秒前
皮蛋发布了新的文献求助10
9秒前
动听谷波发布了新的文献求助10
10秒前
个性的冬天完成签到 ,获得积分10
10秒前
zeng发布了新的文献求助10
10秒前
热心市民小红花的应助被Emma采纳,获得10
10秒前
莫等闲发布了新的文献求助10
10秒前
mloona完成签到,获得积分10
10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
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Challenging Attachment Theory 600
Analyses de reconnaissances de dettes passées devant les échevins d'Ypres (1249-1291) 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8140024
求助须知:如何正确求助?哪些是违规求助? 9540498
关于积分的说明 21639945
捐赠科研通 7724118
什么是DOI,文献DOI怎么找? 3420975
关于科研通互助平台的介绍 2546178
邀请新用户注册赠送积分活动 2463037