1H NMR and Chemometric Methods to Estimate the Octane Number in Brazilian C Gasolines

Detalhes bibliográficos
Autor(a) principal: Pinto,Vinícius S.
Data de Publicação: 2020
Outros Autores: Gambarra-Neto,Francisco F., Flores,Igor S., Monteiro,Marcos R., Lião,Luciano M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of the Brazilian Chemical Society (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532020000801690
Resumo: Brazilian gasoline type C can be purchased with octane number as the main difference. This quality parameter directly affects the price. Intermediate formulations may not be easily distinguished from conform samples due to similarity in visual appearance and physicochemical properties. The use of anhydrous ethanol as an additive also influences the octane values of the product. In this context, the present study describes the use of 1H nuclear magnetic resonance spectroscopy (1H NMR) associated with chemometrics in the characterization and distinction of gasolines by different octane number. Conform samples of common, premium and blends of common-premium were used. Models of NMR-PCA (principal component analysis) and NMR-SIMCA (soft independent modelling of class analogies) showed a good correlation with the values determined by the standard method. The octane values predicted by the NMR-PLS (partial least squares) model achieved a good correlation root mean square errors of prediction (RMSEP = 0.50), with the values determined by the standard method as well.
id SBQ-2_662288e30bf1d948c8e5a2d7a7c0da9b
oai_identifier_str oai:scielo:S0103-50532020000801690
network_acronym_str SBQ-2
network_name_str Journal of the Brazilian Chemical Society (Online)
repository_id_str
spelling 1H NMR and Chemometric Methods to Estimate the Octane Number in Brazilian C Gasolines1H NMR gasoline analysischemometricsoctane numberpremium gasolinecommon gasolineBrazilian gasoline type C can be purchased with octane number as the main difference. This quality parameter directly affects the price. Intermediate formulations may not be easily distinguished from conform samples due to similarity in visual appearance and physicochemical properties. The use of anhydrous ethanol as an additive also influences the octane values of the product. In this context, the present study describes the use of 1H nuclear magnetic resonance spectroscopy (1H NMR) associated with chemometrics in the characterization and distinction of gasolines by different octane number. Conform samples of common, premium and blends of common-premium were used. Models of NMR-PCA (principal component analysis) and NMR-SIMCA (soft independent modelling of class analogies) showed a good correlation with the values determined by the standard method. The octane values predicted by the NMR-PLS (partial least squares) model achieved a good correlation root mean square errors of prediction (RMSEP = 0.50), with the values determined by the standard method as well.Sociedade Brasileira de Química2020-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532020000801690Journal of the Brazilian Chemical Society v.31 n.8 2020reponame:Journal of the Brazilian Chemical Society (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.21577/0103-5053.20200055info:eu-repo/semantics/openAccessPinto,Vinícius S.Gambarra-Neto,Francisco F.Flores,Igor S.Monteiro,Marcos R.Lião,Luciano M.eng2020-07-23T00:00:00Zoai:scielo:S0103-50532020000801690Revistahttp://jbcs.sbq.org.brONGhttps://old.scielo.br/oai/scielo-oai.php||office@jbcs.sbq.org.br1678-47900103-5053opendoar:2020-07-23T00:00Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)false
dc.title.none.fl_str_mv 1H NMR and Chemometric Methods to Estimate the Octane Number in Brazilian C Gasolines
title 1H NMR and Chemometric Methods to Estimate the Octane Number in Brazilian C Gasolines
spellingShingle 1H NMR and Chemometric Methods to Estimate the Octane Number in Brazilian C Gasolines
Pinto,Vinícius S.
1H NMR gasoline analysis
chemometrics
octane number
premium gasoline
common gasoline
title_short 1H NMR and Chemometric Methods to Estimate the Octane Number in Brazilian C Gasolines
title_full 1H NMR and Chemometric Methods to Estimate the Octane Number in Brazilian C Gasolines
title_fullStr 1H NMR and Chemometric Methods to Estimate the Octane Number in Brazilian C Gasolines
title_full_unstemmed 1H NMR and Chemometric Methods to Estimate the Octane Number in Brazilian C Gasolines
title_sort 1H NMR and Chemometric Methods to Estimate the Octane Number in Brazilian C Gasolines
author Pinto,Vinícius S.
author_facet Pinto,Vinícius S.
Gambarra-Neto,Francisco F.
Flores,Igor S.
Monteiro,Marcos R.
Lião,Luciano M.
author_role author
author2 Gambarra-Neto,Francisco F.
Flores,Igor S.
Monteiro,Marcos R.
Lião,Luciano M.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Pinto,Vinícius S.
Gambarra-Neto,Francisco F.
Flores,Igor S.
Monteiro,Marcos R.
Lião,Luciano M.
dc.subject.por.fl_str_mv 1H NMR gasoline analysis
chemometrics
octane number
premium gasoline
common gasoline
topic 1H NMR gasoline analysis
chemometrics
octane number
premium gasoline
common gasoline
description Brazilian gasoline type C can be purchased with octane number as the main difference. This quality parameter directly affects the price. Intermediate formulations may not be easily distinguished from conform samples due to similarity in visual appearance and physicochemical properties. The use of anhydrous ethanol as an additive also influences the octane values of the product. In this context, the present study describes the use of 1H nuclear magnetic resonance spectroscopy (1H NMR) associated with chemometrics in the characterization and distinction of gasolines by different octane number. Conform samples of common, premium and blends of common-premium were used. Models of NMR-PCA (principal component analysis) and NMR-SIMCA (soft independent modelling of class analogies) showed a good correlation with the values determined by the standard method. The octane values predicted by the NMR-PLS (partial least squares) model achieved a good correlation root mean square errors of prediction (RMSEP = 0.50), with the values determined by the standard method as well.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-01
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=S0103-50532020000801690
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532020000801690
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.21577/0103-5053.20200055
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 Journal of the Brazilian Chemical Society v.31 n.8 2020
reponame:Journal of the Brazilian Chemical Society (Online)
instname:Sociedade Brasileira de Química (SBQ)
instacron:SBQ
instname_str Sociedade Brasileira de Química (SBQ)
instacron_str SBQ
institution SBQ
reponame_str Journal of the Brazilian Chemical Society (Online)
collection Journal of the Brazilian Chemical Society (Online)
repository.name.fl_str_mv Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)
repository.mail.fl_str_mv ||office@jbcs.sbq.org.br
_version_ 1750318183119585280