ANAFOR: Application of a restricted linear ...
Document type :
Article dans une revue scientifique: Article original
DOI :
PMID :
Permalink :
Title :
ANAFOR: Application of a restricted linear least squares procedure to NMR data processing
Author(s) :
Bodart, Philippe R. [Auteur]
Unité de Catalyse et Chimie du Solide - UMR 8181 [UCCS]
Amoureux, Jean-Paul [Auteur]
Unité de Catalyse et Chimie du Solide - UMR 8181 [UCCS]
Taulelle, Franis [Auteur]
Site Louis Pasteur [CHPC]
Unité de Catalyse et Chimie du Solide - UMR 8181 [UCCS]
Amoureux, Jean-Paul [Auteur]

Unité de Catalyse et Chimie du Solide - UMR 8181 [UCCS]
Taulelle, Franis [Auteur]
Site Louis Pasteur [CHPC]
Journal title :
Solid State Nuclear Magnetic Resonance
Abbreviated title :
Solid State Nucl. Magn. Reson.
Volume number :
21
Pages :
1-20
Publication date :
2002-02
ISSN :
0926-2040
English keyword(s) :
ANAFOR
NMR data processing
least squares procedure
NMR data processing
least squares procedure
HAL domain(s) :
Chimie
English abstract : [en]
Experimental data collection time in multidimensional nuclear magnetic resonance experiments can be significantly decreased if the lineshapes of all the components of one of the 1D summations of the spectrum are known. ...
Show more >Experimental data collection time in multidimensional nuclear magnetic resonance experiments can be significantly decreased if the lineshapes of all the components of one of the 1D summations of the spectrum are known. When this condition is fulfilled, a simple linear least squares fit of the time-domain signal taking the lineshapes into account not only allows saving time in data collection, but also improves sensitivity and resolution. The reliability of the proposed procedure is carefully addressed in the particular case of Lorentzian lines. This strategy applied to a 3Q-REDOR experiment reduced experimental time by a factor of 6.Show less >
Show more >Experimental data collection time in multidimensional nuclear magnetic resonance experiments can be significantly decreased if the lineshapes of all the components of one of the 1D summations of the spectrum are known. When this condition is fulfilled, a simple linear least squares fit of the time-domain signal taking the lineshapes into account not only allows saving time in data collection, but also improves sensitivity and resolution. The reliability of the proposed procedure is carefully addressed in the particular case of Lorentzian lines. This strategy applied to a 3Q-REDOR experiment reduced experimental time by a factor of 6.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
CNRS
Centrale Lille
ENSCL
Univ. Artois
CNRS
Centrale Lille
ENSCL
Univ. Artois
Collections :
Research team(s) :
RMN et matériaux inorganiques (RM2I)
Submission date :
2023-05-30T18:44:01Z
2024-04-25T14:43:22Z
2024-04-25T14:43:22Z