Planta Med 2019; 85(18): 1464
DOI: 10.1055/s-0039-3399836
Main Congress Poster
Poster Session 1
© Georg Thieme Verlag KG Stuttgart · New York

LC-MS/MS and molecular networking: a complementary approach for chemical composition evaluation of plant extracts – case study with Orchidaceae species

Q Favre-Godal
1   LVMH recherche, Innovation Matériaux Naturels et Développement Durable,, 185 avenue de Verdun, 45800 St Jean de Braye, France
2   Université de Strasbourg, CNRS, IPHC UMR 7178, Chimie analytique des molécules bioactives et pharmacognosie,, F-67000 Strasbourg, France
,
L Gourguillon
1   LVMH recherche, Innovation Matériaux Naturels et Développement Durable,, 185 avenue de Verdun, 45800 St Jean de Braye, France
,
L Riffault-Valois
2   Université de Strasbourg, CNRS, IPHC UMR 7178, Chimie analytique des molécules bioactives et pharmacognosie,, F-67000 Strasbourg, France
,
A Urbain
2   Université de Strasbourg, CNRS, IPHC UMR 7178, Chimie analytique des molécules bioactives et pharmacognosie,, F-67000 Strasbourg, France
,
S Lordel-Madeleine
2   Université de Strasbourg, CNRS, IPHC UMR 7178, Chimie analytique des molécules bioactives et pharmacognosie,, F-67000 Strasbourg, France
,
P Choisy
1   LVMH recherche, Innovation Matériaux Naturels et Développement Durable,, 185 avenue de Verdun, 45800 St Jean de Braye, France
› Author Affiliations
Further Information

Publication History

Publication Date:
20 December 2019 (online)

Also available at
 

Due to the high ornamental and medicinal value of many Orchidaceae, it is desirable to quickly evaluate their chemical composition for quality or research purposes. Despite the numerous studies achieved on orchid extracts characterization by liquid chromatography tandem mass spectrometry (LC-MS/MS) strategies [1], there is a lack of available experimental MS fragmentation patterns that tremendously complicate the dereplication process within this plant family.

Molecular networking (MN) has the potential to speed up the dereplication process by highlighting structural analogues within the sample but also across different samples [2].

In this context, we expose here a dereplication strategy based on LC-HRMS/MS and MN representation for orchid extracts characterization. Three orchids extracts have been dereplicated and implemented in molecular networks together. Two of them are from well-known studied orchids (species A from Gastrodia and B from Dendrobium genus) to assist the dereplication of the third one from another poorly studied orchid species (C).

11 molecules were putatively identified in the extract of species A and 5 molecules in the extract of species B. The method was tested by comparing some identified compounds (gastrodin; parishin, parishin B, C and E, naringenin, N-trans coumaroyltyamine and coumaric acid) with their commercial standards.

The resulting MN representation highlighted the identification of various adducts and analogues compounds among the three species extracts by establishing clusters or nodes according to fragmentation similarities.

As a result, the method is satisfactory, and MN seems to be a promising complementary step to assist the dereplication of plant extracts, especially when the sample of interest is compared with well characterized samples.

 

  • References

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