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Iterative baseline correction algorithm for dead time truncated one-dimensional solid-state MAS NMR spectra.
Yon, Maxime; Fayon, Franck; Massiot, Dominique; Sarou-Kanian, Vincent.
Afiliación
  • Yon M; CNRS, CEMHTI UPR3079, Université d'Orléans, F-45071, Orléans, France. Electronic address: maxime.yon@gmail.com.
  • Fayon F; CNRS, CEMHTI UPR3079, Université d'Orléans, F-45071, Orléans, France.
  • Massiot D; CNRS, CEMHTI UPR3079, Université d'Orléans, F-45071, Orléans, France.
  • Sarou-Kanian V; CNRS, CEMHTI UPR3079, Université d'Orléans, F-45071, Orléans, France.
Solid State Nucl Magn Reson ; 110: 101699, 2020 Dec.
Article en En | MEDLINE | ID: mdl-33190062
ABSTRACT
We present an algorithm suitable for automatically correcting rolling baseline coming from time-domain truncation induced by the dead time in pulse-acquire one-dimensional MAS NMR spectra. It relies on an iterative estimation of the baseline restricted in the time-domain by the dead time duration combined with a histogram filter allowing adaptive selection of the baseline points. This method does not make any assumption regarding the NMR resonances line shapes or widths and does not modify the acquired free induction decay points. This makes it suitable for accurate deconvolution and quantification of single-pulse MAS NMR spectra. The baseline correction accuracy is evaluated on synthetic solid-state spectra of 19F, 71Ga, and 23Na by comparing the fitted baseline to the theoretical one. The versatility of the algorithm is also exemplified on three additional solid-state spectra of 23Na and 71Ga. The algorithm is made available to the community through a user-friendly standalone Matlab® application.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Solid State Nucl Magn Reson Asunto de la revista: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Solid State Nucl Magn Reson Asunto de la revista: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Año: 2020 Tipo del documento: Article