Linked Life Data

16364334

Source:http://linkedlifedata.com/resource/pubmed/id/16364334

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1-2
pubmed:dateCreated
2006-6-19
pubmed:abstractText
This study describes the chemometric treatment of vanillin fingerprint chromatograms to distinguish vanillin from different sources. Prior to principal component analysis, which is used to discriminate vanillin from different origins, the fingerprints are aligned. Three alignment algorithms are tested, correlation optimized warping (COW), target peak alignment (TPA) and semi-parametric time warping (STW). The performance of the three algorithms is evaluated and the effect of the different alignments on the PCA score plots is investigated. The alignment obtained with STW differs somewhat from that with COW and TPA. However, equivalent score plots were obtained regarding the different vanillin groups.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
0021-9673
pubmed:author
pubmed:issnType
Print
pubmed:day
7
pubmed:volume
1120
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
291-8
pubmed:dateRevised
2009-1-15
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Chemometric treatment of vanillin fingerprint chromatograms. Effect of different signal alignments on principal component analysis plots.
pubmed:affiliation
Department of Analytical Chemistry and Pharmaceutical Technology, Vrije Universiteit Brussel, VUB, Laarbeeklaan 103, B-1090 Brussels, Belgium.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't