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Quantification of animal fat biodiesel in soybean biodiesel and B20 diesel blends using near infrared spectroscopy and synergy interval support vector regression

dc.creatorFilgueiras, PR
dc.creatorAlves, JCL
dc.creatorPoppi, RJ
dc.date2014
dc.dateFEB 15
dc.date2014-07-30T14:18:55Z
dc.date2015-11-26T17:22:26Z
dc.date2014-07-30T14:18:55Z
dc.date2015-11-26T17:22:26Z
dc.date.accessioned2018-03-29T00:09:53Z
dc.date.available2018-03-29T00:09:53Z
dc.identifierTalanta. Elsevier Science Bv, v. 119, n. 582, n. 589, 2014.
dc.identifier0039-9140
dc.identifier1873-3573
dc.identifierWOS:000331670700082
dc.identifier10.1016/j.talanta.2013.11.056
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/58591
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/58591
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1283605
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionIn this work, multivariate calibration based on partial least squares (PLS) and support vector regression (SVR) using the whole spectrum and variable selection by synergy interval (siPLS and siSVR) were applied to NIR spectra for the determination of animal fat biodiesel content in soybean biodiesel and B20 diesel blends. For all models, prediction errors, bias test for systematic errors and permutation test for trends in the residuals were calculated. The siSVR produced significantly lower prediction errors compared to the full spectrum methods and siPLS, with a root mean squares error (RMSEP) of 0.18% (w/w) (concentration range: 0.00%-69.00%(w/w)) in the soybean biodiesel blend and 0.10%(w/w) in the B20 diesel (concentration range: 0.00%-13.80%(w/w)). Additionally, in the models for the determination of animal fat biodiesel in blends with soybean diesel, PLS and SVR showed evidence of systematic errors, and PLS/siPLS presented trends in residuals based on the permutation test. For the B20 diesel, PLS presented evidence of systematic errors, and siPLS presented trends in the residuals. (C) 2013 Elsevier B.V. All rights reserved.
dc.description119
dc.description582
dc.description589
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.languageen
dc.publisherElsevier Science Bv
dc.publisherAmsterdam
dc.publisherHolanda
dc.relationTalanta
dc.relationTalanta
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectBiodiesel
dc.subjectAnimal fat
dc.subjectPartial least squares
dc.subjectSupport vector regression
dc.subjectPermutation test
dc.subjectMultivariate Calibration
dc.subjectQuality Parameters
dc.subjectDiesel/biodiesel Blends
dc.subjectVariable Selection
dc.subjectDetect Adulteration
dc.subjectPls-regression
dc.subjectFtir Spectra
dc.subjectModels
dc.subjectStability
dc.subjectIpls
dc.titleQuantification of animal fat biodiesel in soybean biodiesel and B20 diesel blends using near infrared spectroscopy and synergy interval support vector regression
dc.typeArtículos de revistas


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