NMR as a tool for compound identification in mixtures.

Ricardo Moreira Borges, Gabriela de Assis Ferreira, Mariana Martins Campos, Andrew Magno Teixeira, Fernanda das Neves Costa, Fernanda Oliveira das Chagas, Maxwell Colonna

Journal: Phytochemical analysis : PCA 2023;34(4):385-392

PMID: 37128872

Abstract

INTRODUCTION

Natural products and metabolomics are intrinsically linked through efforts to analyze complex mixtures for compound annotation. Although most studies that aim for compound identification in mixtures use MS as the main analysis technique, NMR has complementary advances that are worth exploring for enhanced structural confidence.

OBJECTIVE

This review aimed to showcase a portfolio of the main tools available for compound identification using NMR.

MATERIALS AND METHODS

COLMAR, SMART-NMR, MADByTE, and NMRfilter are presented using examples collected from real samples from the perspective of a natural product chemist. Data are also made available through Zenodo so that readers can test each case presented here.

CONCLUSION

The acquisition of H NMR, HSQC, TOCSY, HSQC-TOCSY, and HMBC data for all samples and fractions from a natural products study is strongly suggested. The same is valid for MS analysis to create a bridged analysis between both techniques in a complementary manner. The use of NOAH supersequences has also been suggested and demonstrated to save NMR time.

© 2023 John Wiley & Sons Ltd.

Address: Instituto de Pesquisas de Produtos Naturais Walter Mors, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.; Departments of Genetics and Biochemistry & Molecular Biology, Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, USA.

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