Distinção entre cachaças destiladas em alambiques e em colunas usando quimiometria

Detalhes bibliográficos
Autor(a) principal: Reche,Roni Vicente
Data de Publicação: 2009
Outros Autores: Franco,Douglas Wagner
Tipo de documento: Artigo
Idioma: por
Título da fonte: Química Nova (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422009000200012
Resumo: One hundred fifteen cachaça samples derived from distillation in copper stills (73) or in stainless steels (42) were analyzed for thirty five itens by chromatography and inductively coupled plasma optical emission spectrometry. The analytical data were treated through Factor Analysis (FA), Partial Least Square Discriminant Analysis (PLS-DA) and Quadratic Discriminant Analysis (QDA). The FA explained 66.0% of the database variance. PLS-DA showed that it is possible to distinguish between the two groups of cachaças with 52.8% of the database variance. QDA was used to build up a classification model using acetaldehyde, ethyl carbamate, isobutyl alcohol, benzaldehyde, acetic acid and formaldehyde as chemical descriptors. The model presented 91.7% of accuracy on predicting the apparatus in which unknown samples were distilled.
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spelling Distinção entre cachaças destiladas em alambiques e em colunas usando quimiometriapot stillcolumnchemometricsOne hundred fifteen cachaça samples derived from distillation in copper stills (73) or in stainless steels (42) were analyzed for thirty five itens by chromatography and inductively coupled plasma optical emission spectrometry. The analytical data were treated through Factor Analysis (FA), Partial Least Square Discriminant Analysis (PLS-DA) and Quadratic Discriminant Analysis (QDA). The FA explained 66.0% of the database variance. PLS-DA showed that it is possible to distinguish between the two groups of cachaças with 52.8% of the database variance. QDA was used to build up a classification model using acetaldehyde, ethyl carbamate, isobutyl alcohol, benzaldehyde, acetic acid and formaldehyde as chemical descriptors. The model presented 91.7% of accuracy on predicting the apparatus in which unknown samples were distilled.Sociedade Brasileira de Química2009-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422009000200012Química Nova v.32 n.2 2009reponame:Química Nova (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.1590/S0100-40422009000200012info:eu-repo/semantics/openAccessReche,Roni VicenteFranco,Douglas Wagnerpor2009-04-23T00:00:00Zoai:scielo:S0100-40422009000200012Revistahttps://www.scielo.br/j/qn/ONGhttps://old.scielo.br/oai/scielo-oai.phpquimicanova@sbq.org.br1678-70640100-4042opendoar:2009-04-23T00:00Química Nova (Online) - Sociedade Brasileira de Química (SBQ)false
dc.title.none.fl_str_mv Distinção entre cachaças destiladas em alambiques e em colunas usando quimiometria
title Distinção entre cachaças destiladas em alambiques e em colunas usando quimiometria
spellingShingle Distinção entre cachaças destiladas em alambiques e em colunas usando quimiometria
Reche,Roni Vicente
pot still
column
chemometrics
title_short Distinção entre cachaças destiladas em alambiques e em colunas usando quimiometria
title_full Distinção entre cachaças destiladas em alambiques e em colunas usando quimiometria
title_fullStr Distinção entre cachaças destiladas em alambiques e em colunas usando quimiometria
title_full_unstemmed Distinção entre cachaças destiladas em alambiques e em colunas usando quimiometria
title_sort Distinção entre cachaças destiladas em alambiques e em colunas usando quimiometria
author Reche,Roni Vicente
author_facet Reche,Roni Vicente
Franco,Douglas Wagner
author_role author
author2 Franco,Douglas Wagner
author2_role author
dc.contributor.author.fl_str_mv Reche,Roni Vicente
Franco,Douglas Wagner
dc.subject.por.fl_str_mv pot still
column
chemometrics
topic pot still
column
chemometrics
description One hundred fifteen cachaça samples derived from distillation in copper stills (73) or in stainless steels (42) were analyzed for thirty five itens by chromatography and inductively coupled plasma optical emission spectrometry. The analytical data were treated through Factor Analysis (FA), Partial Least Square Discriminant Analysis (PLS-DA) and Quadratic Discriminant Analysis (QDA). The FA explained 66.0% of the database variance. PLS-DA showed that it is possible to distinguish between the two groups of cachaças with 52.8% of the database variance. QDA was used to build up a classification model using acetaldehyde, ethyl carbamate, isobutyl alcohol, benzaldehyde, acetic acid and formaldehyde as chemical descriptors. The model presented 91.7% of accuracy on predicting the apparatus in which unknown samples were distilled.
publishDate 2009
dc.date.none.fl_str_mv 2009-01-01
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=S0100-40422009000200012
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422009000200012
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv 10.1590/S0100-40422009000200012
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.32 n.2 2009
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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