Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2023 Jun;34(4):385-392.
doi: 10.1002/pca.3229. Epub 2023 May 2.

NMR as a tool for compound identification in mixtures

Affiliations
Review

NMR as a tool for compound identification in mixtures

Ricardo Moreira Borges et al. Phytochem Anal. 2023 Jun.

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 1 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.

Keywords: 2D NMR; NMR; compound annotation; dereplication.

PubMed Disclaimer

References

REFERENCES

    1. Newman DJ, Cragg GM. Natural products as sources of new drugs over the nearly four decades from 01/1981 to 09/2019. J Nat Prod. 2020;83(3):770-803. doi:10.1021/acs.jnatprod.9b01285
    1. Wolfender JL, Litaudon M, Touboul D, Queiroz EF. Innovative omics-based approaches for prioritisation and targeted isolation of natural products-new strategies for drug discovery. Nat Prod Rep. 2019;36(6):855-868. doi:10.1039/C9NP00004F
    1. Sumner LW, Mendes P, Dixon RA. Plant metabolomics: large-scale phytochemistry in the functional genomics era. Phytochemistry. 2003;62(6):817-836. doi:10.1016/S0031-9422(02)00708-2
    1. Blaise BJ, Correia G, Tin A, et al. Power analysis and sample size determination in metabolic phenotyping. Anal Chem. 2016;88(10):5179-5188. doi:10.1021/acs.analchem.6b00188
    1. Peisl BYL, Schymanski EL, Wilmes P. Dark matter in host-microbiome metabolomics: tackling the unknowns-a review. Anal Chim Acta. 2018;1037:13-27. doi:10.1016/j.aca.2017.12.034

MeSH terms

LinkOut - more resources