Magnetic Resonance (Sep 2022)

Fine optimization of a dissolution dynamic nuclear polarization experimental setting for <sup>13</sup>C NMR of metabolic samples

  • A. Dey,
  • B. Charrier,
  • K. Lemaitre,
  • V. Ribay,
  • D. Eshchenko,
  • M. Schnell,
  • R. Melzi,
  • Q. Stern,
  • S. F. Cousin,
  • J. G. Kempf,
  • S. Jannin,
  • J.-N. Dumez,
  • P. Giraudeau

DOI
https://doi.org/10.5194/mr-3-183-2022
Journal volume & issue
Vol. 3
pp. 183 – 202

Abstract

Read online

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 d-DNP 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.