Publication Cover
Natural Product Research
Formerly Natural Product Letters
Volume 35, 2021 - Issue 18
202
Views
6
CrossRef citations to date
0
Altmetric
Research Articles

New phenolics from Dianella ensifolia

, , , , , , , , & show all
Pages 3063-3070 | Received 31 Aug 2019, Accepted 29 Oct 2019, Published online: 12 Nov 2019
 

Abstract

Phytochemical investigation and chromatographic separation of extracts from the aerial parts of Dianella ensifolia (L.) DC. (synonym Dianella nemorosa Lam. Ex. Schiler f.) led to the isolation of 10 compounds, the structures of which were determined by HR-ESI-MS and 1 D- and 2 D-NMR spectroscopies, and by comparisons with published studies. Among the isolated compounds were three flavans, a biflavan, a biflavone, a tetralone, a naphthalen glycoside, an aromatic compound, and two steroids. Six of these were known chemicals, while three were identified as new compounds: 7-acetyl-4R,8-dihydroxy-6-methyl-1-tetralone, 2(S),2′,4′-dihydroxy-7-methoxyflavan, and diaensi-biflavan. 2(S),7,4’-dimethoxy flavan was obtained for the first time as a natural product.

Graphical Abstract

Acknowledgements

We are indebted to the National Foundation for Science & Technology Development (NAFOSTED) of Vietnam for the financial support of this work (code: 104.01-2016.30). We thank Mr. Tran Thai Vinh for plant identification.

Disclosure statement

No potential conflict of interest was reported by the author.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 861.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.