Slow-spinning low-sideband HR-MAS NMR spectroscopy: delicate analysis of biological samples
Autor: | Stefano Caldarelli, Marie Renault, Martial Piotto, Laetitia Shintu |
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Přispěvatelé: | Bruker Biospin, bruker, Institut de Chimie des Substances Naturelles (ICSN), Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC) |
Rok vydání: | 2013 |
Předmět: |
0303 health sciences
Multidisciplinary Materials science Magnetic Resonance Spectroscopy Sideband [CHIM.ORGA]Chemical Sciences/Organic chemistry Phenylalanine Resolution (electron density) Centrifugation Nuclear magnetic resonance spectroscopy Article 030218 nuclear medicine & medical imaging Characterization (materials science) NMR spectra database 03 medical and health sciences 0302 clinical medicine Liver Chemical physics Animals Transverse relaxation-optimized spectroscopy Sample preparation Cattle Spinning 030304 developmental biology |
Zdroj: | Scientific Reports Scientific Reports, Nature Publishing Group, 2013, 3, pp.3349. ⟨10.1038/srep03349⟩ |
ISSN: | 2045-2322 |
DOI: | 10.1038/srep03349⟩ |
Popis: | International audience; High-Resolution Magic-Angle Spinning (HR-MAS) NMR spectroscopy has become an extremely versatile analytical tool to study heterogeneous systems endowed with liquid-like dynamics. Spinning frequencies of several kHz are however required to obtain NMR spectra, devoid of spinning sidebands, with a resolution approaching that of purely isotropic liquid samples. An important limitation of the method is the large centrifugal forces that can damage the structure of the sample. In this communication, we show that optimizing the sample preparation, particularly avoiding air bubbles, and the geometry of the sample chamber of the HR-MAS rotor leads to high-quality low-sideband NMR spectra even at very moderate spinning frequencies, thus allowing the use of well-established solution-state NMR procedures for the characterization of small and highly dynamic molecules in the most fragile samples, such as live cells and intact tissues. |
Databáze: | OpenAIRE |
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