Application of Multivariate Analysis in Mid-Infrared Spectroscopy as a Tool for the Evaluation of Waste Frying Oil Blends

Detalhes bibliográficos
Autor(a) principal: Hocevar, Luciano Sérgio
Data de Publicação: 2012
Outros Autores: Soares, Vitória Regina Bispo, Oliveira, Fábio Santos de, Korn, Maria das Graças Andrade, Teixeira, Leonardo Sena Gomes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFBA
Texto Completo: http://repositorio.ufba.br/ri/handle/ri/15573
Resumo: Texto completo: acesso restrito. p. 781-786
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spelling Hocevar, Luciano SérgioSoares, Vitória Regina BispoOliveira, Fábio Santos deKorn, Maria das Graças AndradeTeixeira, Leonardo Sena GomesHocevar, Luciano SérgioSoares, Vitória Regina BispoOliveira, Fábio Santos deKorn, Maria das Graças AndradeTeixeira, Leonardo Sena Gomes2014-08-12T14:54:03Z20120003-021Xhttp://repositorio.ufba.br/ri/handle/ri/15573v. 89, n. 5Texto completo: acesso restrito. p. 781-786Mid-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.Submitted by Edileide Reis (leyde-landy@hotmail.com) on 2014-08-12T14:54:03Z No. of bitstreams: 1 Luciano Hocevar.pdf: 602525 bytes, checksum: fa553d9a3bb0ffe18967c5974c356dae (MD5)Made available in DSpace on 2014-08-12T14:54:03Z (GMT). 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dc.title.pt_BR.fl_str_mv Application of Multivariate Analysis in Mid-Infrared Spectroscopy as a Tool for the Evaluation of Waste Frying Oil Blends
dc.title.alternative.pt_BR.fl_str_mv Journal of the American Oil Chemists' Society
title Application of Multivariate Analysis in Mid-Infrared Spectroscopy as a Tool for the Evaluation of Waste Frying Oil Blends
spellingShingle Application of Multivariate Analysis in Mid-Infrared Spectroscopy as a Tool for the Evaluation of Waste Frying Oil Blends
Hocevar, Luciano Sérgio
Waste frying oils
Principal component analysis
Partial least squares
Multivariate calibration
title_short Application of Multivariate Analysis in Mid-Infrared Spectroscopy as a Tool for the Evaluation of Waste Frying Oil Blends
title_full Application of Multivariate Analysis in Mid-Infrared Spectroscopy as a Tool for the Evaluation of Waste Frying Oil Blends
title_fullStr Application of Multivariate Analysis in Mid-Infrared Spectroscopy as a Tool for the Evaluation of Waste Frying Oil Blends
title_full_unstemmed Application of Multivariate Analysis in Mid-Infrared Spectroscopy as a Tool for the Evaluation of Waste Frying Oil Blends
title_sort Application of Multivariate Analysis in Mid-Infrared Spectroscopy as a Tool for the Evaluation of Waste Frying Oil Blends
author Hocevar, Luciano Sérgio
author_facet Hocevar, Luciano Sérgio
Soares, Vitória Regina Bispo
Oliveira, Fábio Santos de
Korn, Maria das Graças Andrade
Teixeira, Leonardo Sena Gomes
author_role author
author2 Soares, Vitória Regina Bispo
Oliveira, Fábio Santos de
Korn, Maria das Graças Andrade
Teixeira, Leonardo Sena Gomes
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Hocevar, Luciano Sérgio
Soares, Vitória Regina Bispo
Oliveira, Fábio Santos de
Korn, Maria das Graças Andrade
Teixeira, Leonardo Sena Gomes
Hocevar, Luciano Sérgio
Soares, Vitória Regina Bispo
Oliveira, Fábio Santos de
Korn, Maria das Graças Andrade
Teixeira, Leonardo Sena Gomes
dc.subject.por.fl_str_mv Waste frying oils
Principal component analysis
Partial least squares
Multivariate calibration
topic Waste frying oils
Principal component analysis
Partial least squares
Multivariate calibration
description Texto completo: acesso restrito. p. 781-786
publishDate 2012
dc.date.issued.fl_str_mv 2012
dc.date.accessioned.fl_str_mv 2014-08-12T14:54:03Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufba.br/ri/handle/ri/15573
dc.identifier.issn.none.fl_str_mv 0003-021X
dc.identifier.number.pt_BR.fl_str_mv v. 89, n. 5
identifier_str_mv 0003-021X
v. 89, n. 5
url http://repositorio.ufba.br/ri/handle/ri/15573
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.pt_BR.fl_str_mv http://dx.doi.org/ 10.1007/s11746-011-1968-8
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFBA
instname:Universidade Federal da Bahia (UFBA)
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reponame_str Repositório Institucional da UFBA
collection Repositório Institucional da UFBA
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