dc.creatorde Godoy, Luiz Antonio Fonseca
dc.creatorPedroso, Marcio Pozzobon
dc.creatorHantao, Leandro Wang
dc.creatorPoppi, Ronei Jesus
dc.creatorAugusto, Fabio
dc.date2011-Jan
dc.date2015-11-27T13:22:17Z
dc.date2015-11-27T13:22:17Z
dc.date.accessioned2018-03-29T01:14:35Z
dc.date.available2018-03-29T01:14:35Z
dc.identifierTalanta. v. 83, n. 4, p. 1302-7, 2011-Jan.
dc.identifier1873-3573
dc.identifier10.1016/j.talanta.2010.08.015
dc.identifierhttp://www.ncbi.nlm.nih.gov/pubmed/21215867
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/199807
dc.identifier21215867
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1300040
dc.descriptionA new approach for target quantitative analysis for comprehensive two-dimensional gas chromatography (GC × GC), interval Multi-way Partial Least Square (iNPLS) is presented and evaluated in this paper. In iNPLS, the two-dimensional chromatogram is split in small sections; each of these pieces is treated as an independent new chromatogram. Separated conventional NPLS calibration models for the concentration of the target analyte are built for each of the pieces of the whole chromatogram, and the best model is selected for quantitative analysis. An algorithm for iNPLS running on MatLab platform was written, preliminarily evaluated with using solutions of model compounds with different chemical properties and subsequently applied to quantify some allergens in perfume samples. The results were found to be adequate, and good precision and accuracy was obtained even for poorly resolved peaks.
dc.description83
dc.description1302-7
dc.languageeng
dc.relationTalanta
dc.relationTalanta
dc.rightsfechado
dc.rightsCopyright © 2010 Elsevier B.V. All rights reserved.
dc.sourcePubMed
dc.subjectAlgorithms
dc.subjectAllergens
dc.subjectCalibration
dc.subjectChromatography, Gas
dc.subjectFeasibility Studies
dc.subjectLeast-squares Analysis
dc.subjectPerfume
dc.subjectStatistics As Topic
dc.titleQuantitative Analysis By Comprehensive Two-dimensional Gas Chromatography Using Interval Multi-way Partial Least Squares Calibration.
dc.typeArtículos de revistas


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