13C NMR Dereplication Using MixONat Software: A Practical Guide to Decipher Natural Products Mixtures.

Antoine Bruguière, Séverine Derbré, Dimitri Bréard, Félix Tomi, Jean-Marc Nuzillard, Pascal Richomme

Journal: Planta medica 2021;87(12-13):1061-1068

PMID: 33957699

Abstract

The growing use of herbal medicines worldwide requires ensuring their quality, safety, and efficiency to consumers and patients. Quality controls of vegetal extracts are usually undertaken according to pharmacopeial monographs. Analyses may range from simple chemical experiments to more sophisticated but more accurate methods. Nowadays, metabolomic analyses allow a fast characterization of complex mixtures. In the field, besides mass spectrometry (MS), nuclear magnetic resonance spectroscopy (NMR) has gained importance in the direct identification of natural products in complex herbal extracts. For a decade, automated dereplication processes based on C-NMR have been emerging to efficiently identify known major compounds in mixtures. Though less sensitive than MS, C-NMR has the advantage of being appropriate to discriminate stereoisomers. Since NMR spectrometers nowadays provide useful datasets in a reasonable time frame, we have recently made available MixONat, a software that processes C as well as distortionless enhancement by polarization transfer (DEPT)-135 and -90 data, allowing carbon multiplicity (i.e., CH, CH, CH, and C) filtering as a critical step. MixONat requires experimental or predicted chemical shifts ( ) databases and displays interactive results that can be refined based on the user's phytochemical knowledge. The present article provides step-by-step instructions to use MixONat starting from database creation with freely available and/or marketed datasets. Then, for training purposes, the reader is led through a 30 - 60 min procedure consisting of the C-NMR based dereplication of a peppermint essential oil.

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Address: Univ Angers, SONAS, SFR QUASAV, Faculty of Health Sciences, Dpt Pharmacy, Angers, France.; Université de Corse-CNRS, UMR 6134 SPE, Equipe Chimie et Biomasse, Ajaccio, France.; Université de Reims Champagne Ardenne, CNRS, ICMR UMR 7312, Reims, France.

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