Predictive model for determining the mass of BHA and BHT to be added in commercial biodiesel

Detalhes bibliográficos
Autor(a) principal: Savada,Felipe Y.
Data de Publicação: 2022
Outros Autores: Silva,Hagata C., Mantovani,Ana Carolina G., Chendynski,Letícia T., Angilelli,Karina B., Borsato,Dionísio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Química Nova (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422022000400365
Resumo: Biodiesel is a biofuel produced by the esterification reaction. It is an option to replace fossil fuels, mainly diesel, due to its similar physical and chemical properties. In this research, a mathematical modeling was performed to predict the antioxidant mass to be added in a commercial biodiesel to achieve the minimum oxidative stability provided by the legislation. An equation for each additive was proposed, with the mass of these antioxidants considered as dependent variables and the conformity parameters as independent ones, obtaining multiple regression equations without intercept. The BHA and BHT antioxidants were used. The equations provided were lower at the 5% level and presented determination coefficients (R2) equal to 0.9790 and 0.9770 for the BHA and BHT, respectively, proving their predictability ability and also showing that they can be used to estimate the antioxidant mass to be added in a biodiesel to reach the current regulations.
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spelling Predictive model for determining the mass of BHA and BHT to be added in commercial biodieselantioxidantsmathematical modelingbiodieselBHABHTBiodiesel is a biofuel produced by the esterification reaction. It is an option to replace fossil fuels, mainly diesel, due to its similar physical and chemical properties. In this research, a mathematical modeling was performed to predict the antioxidant mass to be added in a commercial biodiesel to achieve the minimum oxidative stability provided by the legislation. An equation for each additive was proposed, with the mass of these antioxidants considered as dependent variables and the conformity parameters as independent ones, obtaining multiple regression equations without intercept. The BHA and BHT antioxidants were used. The equations provided were lower at the 5% level and presented determination coefficients (R2) equal to 0.9790 and 0.9770 for the BHA and BHT, respectively, proving their predictability ability and also showing that they can be used to estimate the antioxidant mass to be added in a biodiesel to reach the current regulations.Sociedade Brasileira de Química2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422022000400365Química Nova v.45 n.4 2022reponame:Química Nova (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.21577/0100-4042.20170827info:eu-repo/semantics/openAccessSavada,Felipe Y.Silva,Hagata C.Mantovani,Ana Carolina G.Chendynski,Letícia T.Angilelli,Karina B.Borsato,Dionísioeng2022-06-06T00:00:00Zoai:scielo:S0100-40422022000400365Revistahttps://www.scielo.br/j/qn/ONGhttps://old.scielo.br/oai/scielo-oai.phpquimicanova@sbq.org.br1678-70640100-4042opendoar:2022-06-06T00:00Química Nova (Online) - Sociedade Brasileira de Química (SBQ)false
dc.title.none.fl_str_mv Predictive model for determining the mass of BHA and BHT to be added in commercial biodiesel
title Predictive model for determining the mass of BHA and BHT to be added in commercial biodiesel
spellingShingle Predictive model for determining the mass of BHA and BHT to be added in commercial biodiesel
Savada,Felipe Y.
antioxidants
mathematical modeling
biodiesel
BHA
BHT
title_short Predictive model for determining the mass of BHA and BHT to be added in commercial biodiesel
title_full Predictive model for determining the mass of BHA and BHT to be added in commercial biodiesel
title_fullStr Predictive model for determining the mass of BHA and BHT to be added in commercial biodiesel
title_full_unstemmed Predictive model for determining the mass of BHA and BHT to be added in commercial biodiesel
title_sort Predictive model for determining the mass of BHA and BHT to be added in commercial biodiesel
author Savada,Felipe Y.
author_facet Savada,Felipe Y.
Silva,Hagata C.
Mantovani,Ana Carolina G.
Chendynski,Letícia T.
Angilelli,Karina B.
Borsato,Dionísio
author_role author
author2 Silva,Hagata C.
Mantovani,Ana Carolina G.
Chendynski,Letícia T.
Angilelli,Karina B.
Borsato,Dionísio
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Savada,Felipe Y.
Silva,Hagata C.
Mantovani,Ana Carolina G.
Chendynski,Letícia T.
Angilelli,Karina B.
Borsato,Dionísio
dc.subject.por.fl_str_mv antioxidants
mathematical modeling
biodiesel
BHA
BHT
topic antioxidants
mathematical modeling
biodiesel
BHA
BHT
description Biodiesel is a biofuel produced by the esterification reaction. It is an option to replace fossil fuels, mainly diesel, due to its similar physical and chemical properties. In this research, a mathematical modeling was performed to predict the antioxidant mass to be added in a commercial biodiesel to achieve the minimum oxidative stability provided by the legislation. An equation for each additive was proposed, with the mass of these antioxidants considered as dependent variables and the conformity parameters as independent ones, obtaining multiple regression equations without intercept. The BHA and BHT antioxidants were used. The equations provided were lower at the 5% level and presented determination coefficients (R2) equal to 0.9790 and 0.9770 for the BHA and BHT, respectively, proving their predictability ability and also showing that they can be used to estimate the antioxidant mass to be added in a biodiesel to reach the current regulations.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
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=S0100-40422022000400365
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422022000400365
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.21577/0100-4042.20170827
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.45 n.4 2022
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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