Topic
Dendrobium devonianum
About: Dendrobium devonianum is a research topic. Over the lifetime, 67 publications have been published within this topic receiving 376 citations. The topic is also known as: Devon's Dendrobium.
Papers
TL;DR: A high performance liquid chromatography method was successfully developed and applied to differentiate D. officinale from D. devonianum by comparing the chromatograms according to the characteristic peaks, and it is demonstrated that these developed analytical methods can be used to discriminate D. Officinale and D. Devonianum effectively and conveniently.
Abstract: The stems of Dendrobium officinale Kimura et Migo (Dendrobii Officinalis Caulis) have a high medicinal value as a traditional Chinese medicine (TCM). Because of the limited supply, D. officinale is a high priced TCM, and therefore adulterants are commonly found in the herbal market. The dried stems of a closely related Dendrobium species, Dendrobium devonianum Paxt., are commonly used as the substitute; however, there is no effective method to distinguish the two Dendrobium species. Here, a high performance liquid chromatography (HPLC) method was successfully developed and applied to differentiate D. officinale and D. devonianum by comparing the chromatograms according to the characteristic peaks. A HPLC coupled with electrospray ionization multistage mass spectrometry (HPLC-ESI-MS) method was further applied for structural elucidation of 15 flavonoids, 5 phenolic acids, and 1 lignan in D. officinale. Among these flavonoids, 4 flavonoid C-glycosides were firstly reported in D. officinale, and violanthin and isoviolanthin were identified to be specific for D. officinale compared with D. devonianum. Then, two representative components were used as chemical markers. A rapid and reliable high performance thin layer chromatography (HPTLC) method was applied in distinguishing D. officinale from D. devonianum. The results of this work have demonstrated that these developed analytical methods can be used to discriminate D. officinale and D. devonianum effectively and conveniently.
65 citations
TL;DR: From the whole plant of Dendrobium devonianum, a new flavonol glycoside, 5-hydroxy-3-methoxy-flavone-7-O-[β-d-apiosyl-(1 → 6)]-β- d-glucoside, as well as 13 known compounds, was isolated and both displayed more potent α- glucosidase inhibitory activity than acarbose.
54 citations
TL;DR: DvP-1 was found to directly stimulate the activation of macrophages in vitro, as evidenced by inducing morphologic change, thereby promoting the production of cytokines TNF-α, IL-6 and NO, and enhancing the pinocytic activity of Macrophages.
43 citations
TL;DR: Polysaccharide fingerprint analysis by PACE has the potential to become a valuable new method for the identification and control of quality of herbal medicines in future.
Abstract: Enzymatic fingerprinting of polysaccharides from Dendrobium officinale was studied and applied to authenticate Dendrobium species. Results showed that Dendrobium officinale species from Anhui province, Fujian province, Yunnan province, Guangdong province and Guangxi province of China, could be identified by polysaccharide analysis using carbohydrate gel electrophoresis (PACE). However, the fingerprints of Dendrobium officinale from Jiangxi province, Hu’nan province and Wenzhou, Yandangshan and Fuyang in Zhejiang province were very similar. As far as the fingerprints of different Dendrobium species were concerned, the differences between Dendrobium officinale, Dendrobium huoshanense, Dendrobium moniliforme, Dendrobium devonianum, Dendrobium aphyllum, Dendrobium wilsonii and Dendrobium crystallinum were obvious. Moreover, the genetic relationships between different samples were analyzed by using principal component analysis and unweighted pair group method with arithmetic mean cluster analysis. Results suggested that polysaccharide fingerprint analysis by PACE has the potential to become a valuable new method for the identification and control of quality of herbal medicines in future.
26 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2021 | 2 |
| 2020 | 1 |
| 2019 | 6 |
| 2018 | 8 |
| 2017 | 11 |
| 2016 | 6 |