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High-resolution, high-sensitivity NMR of nanolitre anisotropic samples by coil spinning

Author

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  • D. Sakellariou

    (Laboratoire de Structure et Dynamique par Résonance Magnétique, Service de Chimie Moléculaire (Laboratoire Claude Fréjacques, CNRS URA 331) DSM/DRECAM/SCM, CEA Saclay, Gif-sur-Yvette 91191, France)

  • G. Le Goff

    (Service de Physique de l’Etat Condensé (CNRS URA 2464), DSM/DRECAM/SPEC, CEA Saclay, Gif-sur-Yvette 91191, France)

  • J.-F. Jacquinot

    (Service de Physique de l’Etat Condensé (CNRS URA 2464), DSM/DRECAM/SPEC, CEA Saclay, Gif-sur-Yvette 91191, France)

Abstract

NMR up to speed Nuclear magnetic resonance (NMR) is one of the most powerful and versatile methods for probing the structure and dynamics of liquids and solids, in an entirely noninvasive manner. But it has one big drawback: an intrinsically extremely poor sensitivity, making it unsuitable for really small samples. Enter MACS — magic angle coil spinning. This new technique exploits inductive coupling to facilitate wireless transmission of probe pulses and wireless reception of NMR signals. This in turn allows the NMR detector coil and the sample to be spun together very rapidly, so that NMR measurements can be made with high sensitivity. The method amplifies signals from small samples of organic powders and biological tissue by almost an order of magnitude, and should prove particularly useful for high-throughput chemical and biomedical analysis.

Suggested Citation

  • D. Sakellariou & G. Le Goff & J.-F. Jacquinot, 2007. "High-resolution, high-sensitivity NMR of nanolitre anisotropic samples by coil spinning," Nature, Nature, vol. 447(7145), pages 694-697, June.
  • Handle: RePEc:nat:nature:v:447:y:2007:i:7145:d:10.1038_nature05897
    DOI: 10.1038/nature05897
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    Cited by:

    1. Nils Spengler & Peter T While & Markus V Meissner & Ulrike Wallrabe & Jan G Korvink, 2017. "Magnetic Lenz lenses improve the limit-of-detection in nuclear magnetic resonance," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-17, August.

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