Exploratory Analysis of Biodiesel by Combining Comprehensive Two-Dimensional Gas Chromatography and Multiway Principal Component Analysis

Detalhes bibliográficos
Autor(a) principal: Mogollón,Noroska G. S.
Data de Publicação: 2017
Outros Autores: Ribeiro,Fabiana A. L., Poppi,Ronei J., Quintana,Araceli L., Chávez,Juan A. G., Agualongo,Darwin A. P., Aleme,Helga G., Augusto,Fabio
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=S0103-50532017000500740
Resumo: Comprehensive two-dimensional gas chromatography (GC×GC) was used in this work in order to reveal and identify minor compounds of several raw materials in biodiesel samples, which are not detected by conventional GC analysis. Multiway principal component analysis (MPCA) of the chromatographic profile allowed to identify compounds as C15:1n-3, C18:2n-6, C20:1n-6, C20:3n-3, C20:3n-6, C20:4n-6 C20:5n-3, C21:1n-6, C22:1n-9, C23:1n-9, C24:1n-9 multi-unsaturated which were useful tracers to discriminate between biodiesel samples. In this way, the separation power of GC×GC combined with the MPCA algorithm proved to be a valuable strategy for biodiesel samples classification, allowing identification and providing additional compounds of the commonly known as chemical profile of biodiesel samples.
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spelling Exploratory Analysis of Biodiesel by Combining Comprehensive Two-Dimensional Gas Chromatography and Multiway Principal Component Analysisbiodieselcomprehensive two-dimensional gas chromatographymultiway pattern recognitionmultiway principal component analysisComprehensive two-dimensional gas chromatography (GC×GC) was used in this work in order to reveal and identify minor compounds of several raw materials in biodiesel samples, which are not detected by conventional GC analysis. Multiway principal component analysis (MPCA) of the chromatographic profile allowed to identify compounds as C15:1n-3, C18:2n-6, C20:1n-6, C20:3n-3, C20:3n-6, C20:4n-6 C20:5n-3, C21:1n-6, C22:1n-9, C23:1n-9, C24:1n-9 multi-unsaturated which were useful tracers to discriminate between biodiesel samples. In this way, the separation power of GC×GC combined with the MPCA algorithm proved to be a valuable strategy for biodiesel samples classification, allowing identification and providing additional compounds of the commonly known as chemical profile of biodiesel samples.Sociedade Brasileira de Química2017-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532017000500740Journal of the Brazilian Chemical Society v.28 n.5 2017reponame:Journal of the Brazilian Chemical Society (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.21577/0103-5053.20160222info:eu-repo/semantics/openAccessMogollón,Noroska G. S.Ribeiro,Fabiana A. L.Poppi,Ronei J.Quintana,Araceli L.Chávez,Juan A. G.Agualongo,Darwin A. P.Aleme,Helga G.Augusto,Fabioeng2017-04-12T00:00:00Zoai:scielo:S0103-50532017000500740Revistahttp://jbcs.sbq.org.brONGhttps://old.scielo.br/oai/scielo-oai.php||office@jbcs.sbq.org.br1678-47900103-5053opendoar:2017-04-12T00:00Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)false
dc.title.none.fl_str_mv Exploratory Analysis of Biodiesel by Combining Comprehensive Two-Dimensional Gas Chromatography and Multiway Principal Component Analysis
title Exploratory Analysis of Biodiesel by Combining Comprehensive Two-Dimensional Gas Chromatography and Multiway Principal Component Analysis
spellingShingle Exploratory Analysis of Biodiesel by Combining Comprehensive Two-Dimensional Gas Chromatography and Multiway Principal Component Analysis
Mogollón,Noroska G. S.
biodiesel
comprehensive two-dimensional gas chromatography
multiway pattern recognition
multiway principal component analysis
title_short Exploratory Analysis of Biodiesel by Combining Comprehensive Two-Dimensional Gas Chromatography and Multiway Principal Component Analysis
title_full Exploratory Analysis of Biodiesel by Combining Comprehensive Two-Dimensional Gas Chromatography and Multiway Principal Component Analysis
title_fullStr Exploratory Analysis of Biodiesel by Combining Comprehensive Two-Dimensional Gas Chromatography and Multiway Principal Component Analysis
title_full_unstemmed Exploratory Analysis of Biodiesel by Combining Comprehensive Two-Dimensional Gas Chromatography and Multiway Principal Component Analysis
title_sort Exploratory Analysis of Biodiesel by Combining Comprehensive Two-Dimensional Gas Chromatography and Multiway Principal Component Analysis
author Mogollón,Noroska G. S.
author_facet Mogollón,Noroska G. S.
Ribeiro,Fabiana A. L.
Poppi,Ronei J.
Quintana,Araceli L.
Chávez,Juan A. G.
Agualongo,Darwin A. P.
Aleme,Helga G.
Augusto,Fabio
author_role author
author2 Ribeiro,Fabiana A. L.
Poppi,Ronei J.
Quintana,Araceli L.
Chávez,Juan A. G.
Agualongo,Darwin A. P.
Aleme,Helga G.
Augusto,Fabio
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Mogollón,Noroska G. S.
Ribeiro,Fabiana A. L.
Poppi,Ronei J.
Quintana,Araceli L.
Chávez,Juan A. G.
Agualongo,Darwin A. P.
Aleme,Helga G.
Augusto,Fabio
dc.subject.por.fl_str_mv biodiesel
comprehensive two-dimensional gas chromatography
multiway pattern recognition
multiway principal component analysis
topic biodiesel
comprehensive two-dimensional gas chromatography
multiway pattern recognition
multiway principal component analysis
description Comprehensive two-dimensional gas chromatography (GC×GC) was used in this work in order to reveal and identify minor compounds of several raw materials in biodiesel samples, which are not detected by conventional GC analysis. Multiway principal component analysis (MPCA) of the chromatographic profile allowed to identify compounds as C15:1n-3, C18:2n-6, C20:1n-6, C20:3n-3, C20:3n-6, C20:4n-6 C20:5n-3, C21:1n-6, C22:1n-9, C23:1n-9, C24:1n-9 multi-unsaturated which were useful tracers to discriminate between biodiesel samples. In this way, the separation power of GC×GC combined with the MPCA algorithm proved to be a valuable strategy for biodiesel samples classification, allowing identification and providing additional compounds of the commonly known as chemical profile of biodiesel samples.
publishDate 2017
dc.date.none.fl_str_mv 2017-05-01
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=S0103-50532017000500740
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532017000500740
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.21577/0103-5053.20160222
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.28 n.5 2017
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
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