1H NMR and Chemometric Methods to Estimate the Octane Number in Brazilian C Gasolines
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
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. |
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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 |