QUANTIFICAÇÃO DO TEOR DE BIODIESEL DE CRAMBE EM MISTURAS COM DIESEL UTILIZANDO ESPECTROSCOPIA MIR E SELEÇÃO DE VARIÁVEIS

Detalhes bibliográficos
Autor(a) principal: Costa,Lucas G. da
Data de Publicação: 2020
Outros Autores: Sitoe,Baltazar V., Santos,Douglas Q., Borges Neto,Waldomiro
Tipo de documento: Artigo
Idioma: por
Título da fonte: Química Nova (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422020000600723
Resumo: Mid-Infrared absorption spectroscopy associate with the Partial Least Squares regression is the official method to monitor Brazilian commercial diesel quality. This method, however, uses solvents and a large number of samples for the construction of the calibration curves, which generates waste and increases the time needed for the analysis. In order to develop a non-destructive method, being possible to recover the sample after its quantification, decrease the quantity of samples and make use of a single calibration curve, in this study we used the oilseed crambe, which is not used in human food, for the methyl biodiesel production and PLS analysis for their content determination in mixtures with diesel at a concentration range of 1.00 to 30.00 (% v/v). The global model for crambe methyl biodiesel obatined RMSEC = 0.26 (% v/v), RMSECV = 0.35 (% v/v) and RMSEP = 0.41 (% v/v). Complementary, variable selection method iPLS was applied in the global model in order to reduce the spectral range required to regression construction and to improve the RMSEP, RMSECV and RMSEC values.
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spelling QUANTIFICAÇÃO DO TEOR DE BIODIESEL DE CRAMBE EM MISTURAS COM DIESEL UTILIZANDO ESPECTROSCOPIA MIR E SELEÇÃO DE VARIÁVEISbiofuelsmultivariate calibrationselection of IntervalsiPLSMid-Infrared absorption spectroscopy associate with the Partial Least Squares regression is the official method to monitor Brazilian commercial diesel quality. This method, however, uses solvents and a large number of samples for the construction of the calibration curves, which generates waste and increases the time needed for the analysis. In order to develop a non-destructive method, being possible to recover the sample after its quantification, decrease the quantity of samples and make use of a single calibration curve, in this study we used the oilseed crambe, which is not used in human food, for the methyl biodiesel production and PLS analysis for their content determination in mixtures with diesel at a concentration range of 1.00 to 30.00 (% v/v). The global model for crambe methyl biodiesel obatined RMSEC = 0.26 (% v/v), RMSECV = 0.35 (% v/v) and RMSEP = 0.41 (% v/v). Complementary, variable selection method iPLS was applied in the global model in order to reduce the spectral range required to regression construction and to improve the RMSEP, RMSECV and RMSEC values.Sociedade Brasileira de Química2020-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422020000600723Química Nova v.43 n.6 2020reponame:Química Nova (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.21577/0100-4042.20170554info:eu-repo/semantics/openAccessCosta,Lucas G. daSitoe,Baltazar V.Santos,Douglas Q.Borges Neto,Waldomiropor2020-07-20T00:00:00Zoai:scielo:S0100-40422020000600723Revistahttps://www.scielo.br/j/qn/ONGhttps://old.scielo.br/oai/scielo-oai.phpquimicanova@sbq.org.br1678-70640100-4042opendoar:2020-07-20T00:00Química Nova (Online) - Sociedade Brasileira de Química (SBQ)false
dc.title.none.fl_str_mv QUANTIFICAÇÃO DO TEOR DE BIODIESEL DE CRAMBE EM MISTURAS COM DIESEL UTILIZANDO ESPECTROSCOPIA MIR E SELEÇÃO DE VARIÁVEIS
title QUANTIFICAÇÃO DO TEOR DE BIODIESEL DE CRAMBE EM MISTURAS COM DIESEL UTILIZANDO ESPECTROSCOPIA MIR E SELEÇÃO DE VARIÁVEIS
spellingShingle QUANTIFICAÇÃO DO TEOR DE BIODIESEL DE CRAMBE EM MISTURAS COM DIESEL UTILIZANDO ESPECTROSCOPIA MIR E SELEÇÃO DE VARIÁVEIS
Costa,Lucas G. da
biofuels
multivariate calibration
selection of Intervals
iPLS
title_short QUANTIFICAÇÃO DO TEOR DE BIODIESEL DE CRAMBE EM MISTURAS COM DIESEL UTILIZANDO ESPECTROSCOPIA MIR E SELEÇÃO DE VARIÁVEIS
title_full QUANTIFICAÇÃO DO TEOR DE BIODIESEL DE CRAMBE EM MISTURAS COM DIESEL UTILIZANDO ESPECTROSCOPIA MIR E SELEÇÃO DE VARIÁVEIS
title_fullStr QUANTIFICAÇÃO DO TEOR DE BIODIESEL DE CRAMBE EM MISTURAS COM DIESEL UTILIZANDO ESPECTROSCOPIA MIR E SELEÇÃO DE VARIÁVEIS
title_full_unstemmed QUANTIFICAÇÃO DO TEOR DE BIODIESEL DE CRAMBE EM MISTURAS COM DIESEL UTILIZANDO ESPECTROSCOPIA MIR E SELEÇÃO DE VARIÁVEIS
title_sort QUANTIFICAÇÃO DO TEOR DE BIODIESEL DE CRAMBE EM MISTURAS COM DIESEL UTILIZANDO ESPECTROSCOPIA MIR E SELEÇÃO DE VARIÁVEIS
author Costa,Lucas G. da
author_facet Costa,Lucas G. da
Sitoe,Baltazar V.
Santos,Douglas Q.
Borges Neto,Waldomiro
author_role author
author2 Sitoe,Baltazar V.
Santos,Douglas Q.
Borges Neto,Waldomiro
author2_role author
author
author
dc.contributor.author.fl_str_mv Costa,Lucas G. da
Sitoe,Baltazar V.
Santos,Douglas Q.
Borges Neto,Waldomiro
dc.subject.por.fl_str_mv biofuels
multivariate calibration
selection of Intervals
iPLS
topic biofuels
multivariate calibration
selection of Intervals
iPLS
description Mid-Infrared absorption spectroscopy associate with the Partial Least Squares regression is the official method to monitor Brazilian commercial diesel quality. This method, however, uses solvents and a large number of samples for the construction of the calibration curves, which generates waste and increases the time needed for the analysis. In order to develop a non-destructive method, being possible to recover the sample after its quantification, decrease the quantity of samples and make use of a single calibration curve, in this study we used the oilseed crambe, which is not used in human food, for the methyl biodiesel production and PLS analysis for their content determination in mixtures with diesel at a concentration range of 1.00 to 30.00 (% v/v). The global model for crambe methyl biodiesel obatined RMSEC = 0.26 (% v/v), RMSECV = 0.35 (% v/v) and RMSEP = 0.41 (% v/v). Complementary, variable selection method iPLS was applied in the global model in order to reduce the spectral range required to regression construction and to improve the RMSEP, RMSECV and RMSEC values.
publishDate 2020
dc.date.none.fl_str_mv 2020-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422020000600723
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422020000600723
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv 10.21577/0100-4042.20170554
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Química
publisher.none.fl_str_mv Sociedade Brasileira de Química
dc.source.none.fl_str_mv Química Nova v.43 n.6 2020
reponame:Química Nova (Online)
instname:Sociedade Brasileira de Química (SBQ)
instacron:SBQ
instname_str Sociedade Brasileira de Química (SBQ)
instacron_str SBQ
institution SBQ
reponame_str Química Nova (Online)
collection Química Nova (Online)
repository.name.fl_str_mv Química Nova (Online) - Sociedade Brasileira de Química (SBQ)
repository.mail.fl_str_mv quimicanova@sbq.org.br
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