Multivariate quality control of lubricating oils using Fourier transform infrared spectroscopy

Detalhes bibliográficos
Autor(a) principal: Borin,Alessandra
Data de Publicação: 2004
Outros Autores: Poppi,Ronei Jesus
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=S0103-50532004000400020
Resumo: Multivariate quality control in conjunction with Fourier transform infrared Spectroscopy (FTIR) were used to qualitatively detect the class and the condition of lubricating oils. The multivariate approach was based on principal component analysis (PCA), first to classify the lubricating oil type (mineral, synthetic and semi-synthetic) and then to develop two control charts: a T² chart using the most significant principal components and a Q chart with the PC not used in the first chart. From these two charts it was possible to identify oil samples, based on a viscosity parameter, which were out of the pattern normally present in utilizable lubricating oils.
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spelling Multivariate quality control of lubricating oils using Fourier transform infrared spectroscopyFourier Transform Infrared Spectroscopylubricant control qualityPrincipal Component Analysismultivariate control chartsMultivariate quality control in conjunction with Fourier transform infrared Spectroscopy (FTIR) were used to qualitatively detect the class and the condition of lubricating oils. The multivariate approach was based on principal component analysis (PCA), first to classify the lubricating oil type (mineral, synthetic and semi-synthetic) and then to develop two control charts: a T² chart using the most significant principal components and a Q chart with the PC not used in the first chart. From these two charts it was possible to identify oil samples, based on a viscosity parameter, which were out of the pattern normally present in utilizable lubricating oils.Sociedade Brasileira de Química2004-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532004000400020Journal of the Brazilian Chemical Society v.15 n.4 2004reponame:Journal of the Brazilian Chemical Society (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.1590/S0103-50532004000400020info:eu-repo/semantics/openAccessBorin,AlessandraPoppi,Ronei Jesuseng2004-09-15T00:00:00Zoai:scielo:S0103-50532004000400020Revistahttp://jbcs.sbq.org.brONGhttps://old.scielo.br/oai/scielo-oai.php||office@jbcs.sbq.org.br1678-47900103-5053opendoar:2004-09-15T00:00Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)false
dc.title.none.fl_str_mv Multivariate quality control of lubricating oils using Fourier transform infrared spectroscopy
title Multivariate quality control of lubricating oils using Fourier transform infrared spectroscopy
spellingShingle Multivariate quality control of lubricating oils using Fourier transform infrared spectroscopy
Borin,Alessandra
Fourier Transform Infrared Spectroscopy
lubricant control quality
Principal Component Analysis
multivariate control charts
title_short Multivariate quality control of lubricating oils using Fourier transform infrared spectroscopy
title_full Multivariate quality control of lubricating oils using Fourier transform infrared spectroscopy
title_fullStr Multivariate quality control of lubricating oils using Fourier transform infrared spectroscopy
title_full_unstemmed Multivariate quality control of lubricating oils using Fourier transform infrared spectroscopy
title_sort Multivariate quality control of lubricating oils using Fourier transform infrared spectroscopy
author Borin,Alessandra
author_facet Borin,Alessandra
Poppi,Ronei Jesus
author_role author
author2 Poppi,Ronei Jesus
author2_role author
dc.contributor.author.fl_str_mv Borin,Alessandra
Poppi,Ronei Jesus
dc.subject.por.fl_str_mv Fourier Transform Infrared Spectroscopy
lubricant control quality
Principal Component Analysis
multivariate control charts
topic Fourier Transform Infrared Spectroscopy
lubricant control quality
Principal Component Analysis
multivariate control charts
description Multivariate quality control in conjunction with Fourier transform infrared Spectroscopy (FTIR) were used to qualitatively detect the class and the condition of lubricating oils. The multivariate approach was based on principal component analysis (PCA), first to classify the lubricating oil type (mineral, synthetic and semi-synthetic) and then to develop two control charts: a T² chart using the most significant principal components and a Q chart with the PC not used in the first chart. From these two charts it was possible to identify oil samples, based on a viscosity parameter, which were out of the pattern normally present in utilizable lubricating oils.
publishDate 2004
dc.date.none.fl_str_mv 2004-08-01
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=S0103-50532004000400020
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532004000400020
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-50532004000400020
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.15 n.4 2004
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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