Fine optimization of a dissolution dynamic nuclear polarization experimental setting for 13C NMR of metabolic samples #DNPNMR

Published: Wednesday, 15 March 2023 - 10:00 -0400

Author: Thorsten Maly

Dey, Arnab, Benoît Charrier, Karine Lemaitre, Victor Ribay, Dmitry Eshchenko, Marc Schnell, Roberto Melzi, et al. “Fine Optimization of a Dissolution Dynamic Nuclear Polarization Experimental Setting for 13C NMR of Metabolic Samples.” Magnetic Resonance 3, no. 2 (September 29, 2022): 183–202.

NMR-based analysis of metabolite mixtures provides crucial information on biological systems but mostly relies on 1D 1H experiments for maximizing sensitivity. However, strong peak overlap of 1H spectra often is a limitation for the analysis of inherently complex biological mixtures. Dissolution dynamic nuclear polarization (d-DNP) improves NMR sensitivity by several orders of magnitude, which enables 13C NMR-based analysis of metabolites at natural abundance. We have recently demonstrated the successful introduction of dDNP into a full untargeted metabolomics workflow applied to the study of plant metabolism. Here we describe the systematic optimization of d-DNP experimental settings for experiments at natural 13C abundance and show how the resolution, sensitivity, and ultimately the number of detectable signals improve as a result. We have systematically optimized the parameters involved (in a semi-automated prototype d-DNP system, from sample preparation to signal detection, aiming at providing an optimization guide for potential users of such a system, who may not be experts in instrumental development). The optimization procedure makes it possible to detect previously inaccessible protonated 13C signals of metabolites at natural abundance with at least 4 times improved line shape and a high repeatability compared to a previously reported d-DNP-enhanced untargeted metabolomic study. This extends the application scope of hyperpolarized 13C NMR at natural abundance and paves the way to a more general use of DNP-hyperpolarized NMR in metabolomics studies.