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Introducing HR-$\mu$MAS NMR probe for $\mu$g-scale samples

Covadonga Lucas-Torres 1 Yusuke Nishiyama 2 Alan Wong 1
1 LSDRM - Laboratoire Structure et Dynamique par Résonance Magnétique (LCF)
NIMBE UMR 3685 - Nanosciences et Innovation pour les Matériaux, la Biomédecine et l'Energie (ex SIS2M)
Abstract : NMR has already proven to be a tremendqus spectroscopic tool in metabolomics. However, due to its low detection sensitivity, NMR analyses can be challenging especially for mass-limited samples. To overcome this issue, here we introduce a 'new' reliable methodology for profiling $\mu$g/nL scale samples based on the Magic Angle Spinning (MAS) technique-High-Resolution lIMAS (HR-$\mu$MAS). HR-$\mu$MAS offers an outstanding opportunity for the detection of metabolites in $\mu$g samples with good sensitivity and high spectral resolution, which coutd widen the existing NMR-based spectroscopy to metabolomic applications and pave the path to its utilization in numerous fields of study. ln comparison to the previous approach with the spinning $\mu$-coil (HR-MACS) [1], HR-$\mu$MAS renders improvements in probe practicality, sample-preparation, data repeatability and in the flexibility of NMR experiments. Moreover, we also show the possibility of performing metabolic quantification using HR-$\mu$ MAS-important analytical component in metabolomics. The excellent NMR spectroscopic capabilities of HR-$\mu$MAS shown here for NMR metabolic profiling on $\mu$g/nL samples have demonstrated that HR-$\mu$MAS could have an impact on future NMR-based metabolomics in biological applications.
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https://hal-cea.archives-ouvertes.fr/cea-02341000
Contributor : Serge Palacin <>
Submitted on : Thursday, October 31, 2019 - 10:32:48 AM
Last modification on : Monday, February 10, 2020 - 6:12:49 PM
Long-term archiving on: : Saturday, February 1, 2020 - 2:14:17 PM

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Covadonga Lucas-Torres, Yusuke Nishiyama, Alan Wong. Introducing HR-$\mu$MAS NMR probe for $\mu$g-scale samples. Metabomeeting 2017, Dec 2017, Birmingham, United Kingdom. ⟨cea-02341000⟩

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