Literature DB >> 25220142

Dereplication of depsides from the lichen Pseudevernia furfuracea by centrifugal partition chromatography combined to 13C nuclear magnetic resonance pattern recognition.

Sarah K Oettl1, Jane Hubert2, Jean-Marc Nuzillard3, Hermann Stuppner1, Jean-Hugues Renault3, Judith M Rollinger1.   

Abstract

Lichens produce a diversity of secondary metabolites, among them depsides comprised of two or more hydroxybenzoic acid units linked by ester, ether, or CC-bonds. During classic solid support-based purification processes, depsides are often hydrolyzed and in many cases time, consuming procedures result only in the isolation of decomposition products. In an attempt to avoid extensive purification steps while maintaining metabolite structure integrity, we propose an alternative method to identify the major depsides of a lichen crude extract (Pseudevernia furfuracea var. ceratea (Ach.) D. Hawksw., Parmeliaceae) directly within mixtures. Exploiting the acidic character of depsides and differences in polarity, the extract was fractionated by centrifugal partition chromatography in the pH-zone refining mode resulting in twelve simplified mixtures of depsides. After (13)C nuclear magnetic resonance analysis of the produced fractions, the major molecular structures were directly identified within the fraction series by using a recently developed pattern recognition method, which combines spectral data alignment and hierarchical clustering analysis. The obtained clusters of (13)C chemical shifts were assigned to their corresponding molecular structures with the help of an in-house (13)C NMR chemical shift database, resulting in six unambiguously identified compounds, namely methyl β-orcinolcarboxylate (1), atranorin (2), 5-chloroatranorin (3), olivetol carboxylic acid (4), olivetoric acid (5), and olivetonide (6).
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  (13)C nuclear magnetic resonance; Centrifugal partition chromatography; Depside; Dereplication; Hierarchical clustering analysis; Lichen

Mesh:

Substances:

Year:  2014        PMID: 25220142     DOI: 10.1016/j.aca.2014.07.009

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  2 in total

1.  1H NMR-MS-based heterocovariance as a drug discovery tool for fishing bioactive compounds out of a complex mixture of structural analogues.

Authors:  Ulrike Grienke; Paul A Foster; Julia Zwirchmayr; Ammar Tahir; Judith M Rollinger; Emmanuel Mikros
Journal:  Sci Rep       Date:  2019-07-31       Impact factor: 4.379

2.  Metabolite Profiling of the Indian Food Spice Lichen, Pseudevernia furfuracea Combined With Optimised Extraction Methodology to Obtain Bioactive Phenolic Compounds.

Authors:  Rishu Kalra; Xavier A Conlan; Carlos Areche; Rahul Dilawari; Mayurika Goel
Journal:  Front Pharmacol       Date:  2021-05-10       Impact factor: 5.810

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.