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dc.contributor.authorHocevar, Luciano Sérgio-
dc.contributor.authorSoares, Vitória Regina Bispo-
dc.contributor.authorOliveira, Fábio Santos de-
dc.contributor.authorKorn, Maria das Graças Andrade-
dc.contributor.authorTeixeira, Leonardo Sena Gomes-
dc.creatorHocevar, Luciano Sérgio-
dc.creatorSoares, Vitória Regina Bispo-
dc.creatorOliveira, Fábio Santos de-
dc.creatorKorn, Maria das Graças Andrade-
dc.creatorTeixeira, Leonardo Sena Gomes-
dc.date.accessioned2014-08-12T14:54:03Z-
dc.date.issued2012-
dc.identifier.issn0003-021X-
dc.identifier.urihttp://repositorio.ufba.br/ri/handle/ri/15573-
dc.descriptionTexto completo: acesso restrito. p. 781-786pt_BR
dc.description.abstractMid-infrared spectroscopy, in association with multivariate chemometric techniques, was employed for pattern recognition and the determination of the composition of waste frying oils (WFO); data are presented in terms of the percentage of soybean oil, palm oil and hydrogenated vegetable fat in frying oil blends. Principal component analysis (PCA) was performed using spectral data (3,000–600 cm−1) to discriminate between the samples containing 100% soybean oil, 100% palm oil, 100% hydrogenated vegetable fat groups and their blends. Additionally, the results indicated that partial least squares (PLS) models based on mid-infrared spectra were suitable as practical analytical methods for predicting the oil contents in WFO blends. PLS models were validated by a representative prediction set, and the root mean square errors of prediction (RMSEP) were 2.8, 4.7 and 5.5% for palm oil, soybean oil and hydrogenated vegetable fat, respectively. The proposed methodology can be very useful for the rapid and low cost determination of waste frying oil composition while also aiding in decisions regarding the management of oil pretreatment and production routes for biodiesel production.pt_BR
dc.language.isoenpt_BR
dc.rightsAcesso Abertopt_BR
dc.sourcehttp://dx.doi.org/ 10.1007/s11746-011-1968-8pt_BR
dc.subjectWaste frying oilspt_BR
dc.subjectPrincipal component analysispt_BR
dc.subjectPartial least squarespt_BR
dc.subjectMultivariate calibrationpt_BR
dc.titleApplication of Multivariate Analysis in Mid-Infrared Spectroscopy as a Tool for the Evaluation of Waste Frying Oil Blendspt_BR
dc.title.alternativeJournal of the American Oil Chemists' Societypt_BR
dc.typeArtigo de Periódicopt_BR
dc.identifier.numberv. 89, n. 5pt_BR
dc.embargo.liftdate10000-01-01-
Aparece nas coleções:Artigo Publicado em Periódico (Química)

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