Literature DB >> 16602081

Correction of systematic errors in CORE processing of DOSY data.

Mathias Nilsson1, Gareth A Morris.   

Abstract

DOSY data for mixtures are commonly processed either by single channel methods (e.g. HR-DOSY) or multichannel methods (e.g. CORE). Both aim to separate the signals from species of different molecular sizes by their diffusion coefficients; the result is displayed either as a 2D plot (as in HR-DOSY) or as individual spectra (as in CORE). Both types of methods are sensitive to any systematic errors in the experimental data. The effects of, and remedies for, two such sources of error, spatially non-uniform pulsed field gradients (PFGs) and instrument instability, are demonstrated for CORE processing, using a corrected form of the Stejskal-Tanner equation and reference deconvolution, respectively. Copyright (c) 2006 John Wiley & Sons, Ltd.

Year:  2006        PMID: 16602081     DOI: 10.1002/mrc.1805

Source DB:  PubMed          Journal:  Magn Reson Chem        ISSN: 0749-1581            Impact factor:   2.447


  3 in total

1.  Resolving complex mixtures: trilinear diffusion data.

Authors:  Johannes Björnerås; Adolfo Botana; Gareth A Morris; Mathias Nilsson
Journal:  J Biomol NMR       Date:  2013-06-28       Impact factor: 2.835

2.  Structure-revealing data fusion.

Authors:  Evrim Acar; Evangelos E Papalexakis; Gözde Gürdeniz; Morten A Rasmussen; Anders J Lawaetz; Mathias Nilsson; Rasmus Bro
Journal:  BMC Bioinformatics       Date:  2014-07-12       Impact factor: 3.169

3.  The GNAT: A new tool for processing NMR data.

Authors:  Laura Castañar; Guilherme Dal Poggetto; Adam A Colbourne; Gareth A Morris; Mathias Nilsson
Journal:  Magn Reson Chem       Date:  2018-03-25       Impact factor: 2.447

  3 in total

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