Linked Life Data

16807021

Source:http://linkedlifedata.com/resource/pubmed/id/16807021

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2006-9-4
pubmed:abstractText
Diffusion ordered spectroscopy (DOSY) is a powerful two-dimensional NMR method to study molecular translation in various systems. The diffusion coefficients are usually retrieved, at each frequency, from a fit procedure on the experimental data, considering a unique coefficient for each molecule or mixture. However, the fit can be improved if one regards the decaying curve as a multiexponential function and the diffusion coefficient as a distribution. This work presents a computer code based on the Hopfield neural network to invert the data. One small-molecule binary mixture with close diffusion coefficients is treated with this approach, demonstrating the effectiveness of the method.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
1090-7807
pubmed:author
pubmed:issnType
Print
pubmed:volume
182
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
22-8
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Diffusion coefficient distribution from NMR-DOSY experiments using Hopfield neural network.
pubmed:affiliation
Depto. de Química-ICEx, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil. ritacos@gmail.com
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't