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A simple method for NMR t1 noise suppression.
Mo, Huaping; Harwood, John S; Yang, Danzhou; Post, Carol Beth.
Afiliación
  • Mo H; Purdue Inter-Departmental NMR Facility (PINMRF), Purdue University, West Lafayette, IN 47907, USA; Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN 47907, USA. Electronic address: hmo@purdue.edu.
  • Harwood JS; Purdue Inter-Departmental NMR Facility (PINMRF), Purdue University, West Lafayette, IN 47907, USA; Department of Chemistry, Purdue University, West Lafayette, IN 47907, USA.
  • Yang D; Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN 47907, USA.
  • Post CB; Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN 47907, USA.
J Magn Reson ; 276: 43-50, 2017 03.
Article en En | MEDLINE | ID: mdl-28103498
ABSTRACT
t1 noise appears as random or semi-random spurious streaks along the indirect t1 (F1) dimension of a 2D or nD NMR spectrum. It can significantly downgrade spectral quality, especially for spectra with strong diagonal signals such as NOESY, because useful and weak cross-peaks can be easily buried under t1 noise. One of the significant contributing factors to t1 noise is unwanted and semi-random F2 signal modulation during t1 acquisition. As such, t1 noise from different acquisitions is unlikely to correlate with each other strongly. In the case of NOESY, co-addition of multiple spectra significantly reduces t1 noise compared with conventional acquisition with the same amount of total acquisition time and resolution.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Resonancia Magnética Nuclear Biomolecular Límite: Humans Idioma: En Revista: J Magn Reson Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2017 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Resonancia Magnética Nuclear Biomolecular Límite: Humans Idioma: En Revista: J Magn Reson Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2017 Tipo del documento: Article
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