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A facile approach for estimating radio-frequency field strength of low-receptivity nuclei.
Duong, Nghia Tuan; Viel, Stéphane; Ziarelli, Fabio; Thureau, Pierre; Mollica, Giulia.
Affiliation
  • Duong NT; Aix Marseille Univ, CNRS, ICR, Marseille, France. Electronic address: tuan-nghia.duong@univ-amu.fr.
  • Viel S; Aix Marseille Univ, CNRS, ICR, Marseille, France; Institut Universitaire de France, Paris, France.
  • Ziarelli F; Aix Marseille Univ, CNRS, Centrale Méditerranée, FSCM, Marseille, France.
  • Thureau P; Aix Marseille Univ, CNRS, ICR, Marseille, France.
  • Mollica G; Aix Marseille Univ, CNRS, ICR, Marseille, France.
J Magn Reson ; 358: 107614, 2024 Jan.
Article in En | MEDLINE | ID: mdl-38141495
ABSTRACT
Radio-frequency (RF) field calibration is essential in NMR spectroscopy. A common practice is to collect a nutation curve by varying the pulse length in a direct single-pulse excitation experiment or in a cross-polarization magic-angle spinning with a flip-back pulse experiment. From the null points on this curve, one can calculate the RF field strength. Nevertheless, the practical implementation is not always straightforward or can even be unrealizable, especially for low-receptivity nuclei owing to their associated low sensitivity. Several researchers used an approach that involves utilizing other nuclei with more sensitivity but nearly identical Larmor frequencies to that of the nucleus of interest. However, such an approach has not been a common practice so far. In this work, we have systematically revisited this approach using 3.2 mm rotors on different sets of nuclei covering a Larmor frequency range up to 80 MHz. The effect of solid- and solution-states on RF field strength measurements has been investigated. The detection of each set of nuclei is then carried out with a resonant circuit in the NMR probe consisting of identical coils and capacitors. Our methodology is illustrated by recording 135/137Ba NMR spectra of BaTiO3 without prior 135/137Ba RF field calibration.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Magn Reson Journal subject: DIAGNOSTICO POR IMAGEM Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Magn Reson Journal subject: DIAGNOSTICO POR IMAGEM Year: 2024 Document type: Article Country of publication: