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
kaka完成签到,获得积分10
刚刚
myS完成签到 ,获得积分10
1秒前
1秒前
科研通AI2S的应助被aaa八角锋哥采纳,获得10
1秒前
jie发布了新的文献求助10
1秒前
乐空思的应助被优秀的采纳,获得20
2秒前
2秒前
3秒前
3秒前
852的应助被风中士萧采纳,获得10
3秒前
小猫完成签到 ,获得积分10
3秒前
3秒前
4秒前
4秒前
danhbuh完成签到,获得积分10
4秒前
学业繁忙完成签到,获得积分10
4秒前
Kossy.NG完成签到 ,获得积分10
4秒前
4秒前
5秒前
5秒前
kyt完成签到,获得积分10
6秒前
姚乃梦发布了新的文献求助10
7秒前
jie完成签到,获得积分10
8秒前
学业繁忙发布了新的文献求助10
8秒前
淡淡红茶发布了新的文献求助10
8秒前
淡淡红茶发布了新的文献求助10
9秒前
淡淡红茶发布了新的文献求助10
9秒前
淡淡红茶发布了新的文献求助10
9秒前
淡淡红茶发布了新的文献求助10
9秒前
淡淡红茶发布了新的文献求助10
9秒前
淡淡红茶发布了新的文献求助10
9秒前
淡淡红茶发布了新的文献求助10
9秒前
淡淡红茶发布了新的文献求助10
9秒前
香蕉觅云的应助被ZZZ采纳,获得30
9秒前
10秒前
做实验顺利完成签到 ,获得积分10
10秒前
黑锅我来背完成签到,获得积分10
11秒前
在水一方的应助被莫问采纳,获得10
11秒前
12秒前
125dd完成签到,获得积分20
12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
Research Methodology: Best Practices for Rigorous, Credible, and Impactful Research 1000
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7782984
求助须知:如何正确求助?哪些是违规求助? 9322402
关于积分的说明 20389209
捐赠科研通 7371584
什么是DOI,文献DOI怎么找? 3320495
关于科研通互助平台的介绍 2468556
邀请新用户注册赠送积分活动 2336743