Linked Life Data

12589507

Source:http://linkedlifedata.com/resource/pubmed/id/12589507

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2003-2-17
pubmed:abstractText
A study on using non-parametric statistical methods was carried out to calculate the binding constant of an inclusion complex and to estimate its associated uncertainty. First, a correct evaluation of the stoichiometry was carried out in order to ensure an accurate determination of the binding constant. For this purpose, the modified Benesi-Hildelbrand method had been previously applied. Then, four statistical methods (three non-parametric methods: two bootstrap approaches, the jackknife method and a parametric one: Fieller's theorem) were employed in order to compute the binding constant. The results obtained from applying these methods and the combination of the methods: jackknife after bootstrap and bootstrap after jackknife were compared. The best results in terms of accuracy were obtained from the application of a bootstrap method: the resampling residuals approach. These procedures were applied to the inclusion complex 2-hydroxil-propyl-beta-cyclodextrin-2,4-dichloro-phenoxyacetic, which shows photochemically-induced fluorescence.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
1618-2642
pubmed:author
pubmed:issnType
Print
pubmed:volume
375
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
414-23
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Applying non-parametric statistical methods to the classical measurements of inclusion complex binding constants.
pubmed:affiliation
School of Qualimetrics, Department of Analytical Chemistry, University of Granada, Spain.
pubmed:publicationType
Journal Article