Hyperpolarized NMR Metabolomics at Natural 13C Abundance | Zendy

Arnab Dey | Zendy; Benoît Charrier | Zendy; Estelle Martineau | Zendy; Catherine Deborde | Zendy; Elodie Gandriau | Zendy; Annick Moing | Zendy; Daniel Jacob | Zendy; D. G. Eshchenko | Zendy; Marc Schnell | Zendy; Roberto Melzi | Zendy; Dennis Kurzbach | Zendy; Morgan Ceillier | Zendy; Quentin Chappuis | Zendy; Samuel F. Cousin | Zendy; James Kempf | Zendy; Sami Jannin | Zendy; JeanNicolas Dumez | Zendy; Patrick Giraudeau | Zendy

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Hyperpolarized NMR Metabolomics at Natural ¹³C Abundance

Author(s) -

Arnab Dey,

Benoît Charrier,

Estelle Martineau,

Catherine Deborde,

Elodie Gandriau,

Annick Moing,

Daniel Jacob,

D. G. Eshchenko,

Marc Schnell,

Roberto Melzi,

Dennis Kurzbach,

Morgan Ceillier,

Quentin Chappuis,

Samuel F. Cousin,

James Kempf,

Sami Jannin,

JeanNicolas Dumez,

Patrick Giraudeau

Publication year - 2020

Publication title -

analytical chemistry

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 2.117

H-Index - 332

eISSN - 1520-6882

pISSN - 0003-2700

DOI - 10.1021/acs.analchem.0c03510

Subject(s) - metabolomics , chemistry , nuclear magnetic resonance spectroscopy , carbon 13 nmr , hyperpolarization (physics) , natural abundance , analytical chemistry (journal) , chromatography , mass spectrometry , stereochemistry

Metabolomics plays a pivotal role in systems biology, and NMR is a central tool with high precision and exceptional resolution of chemical information. Most NMR metabolomic studies are based on 1 H 1D spectroscopy, severely limited by peak overlap. 13 C NMR benefits from a larger signal dispersion but is barely used in metabolomics due to ca. 6000-fold lower sensitivity. We introduce a new approach, based on hyperpolarized 13 C NMR at natural abundance, that circumvents this limitation. A new untargeted NMR-based metabolomic workflow based on dissolution dynamic nuclear polarization (d-DNP) for the first time enabled hyperpolarized natural abundance 13 C metabolomics. Statistical analysis of resulting hyperpolarized 13 C data distinguishes two groups of plant (tomato) extracts and highlights biomarkers, in full agreement with previous results on the same biological model. We also optimize parameters of the semiautomated d-DNP system suitable for high-throughput studies.

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