Analysis of seized cocaine samples by using chemometric methods and FTIR spectroscopy

Detalhes bibliográficos
Autor(a) principal: Rodrigues,Nathália V. S.
Data de Publicação: 2013
Outros Autores: Cardoso,Eduardo M., Andrade,Marcus V. O., Donnici,Cláudio L., Sena,Marcelo 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=S0103-50532013000300019
Resumo: The aim of this article was to develop a chemometric methodology for determining the chemical profile of cocaine samples seized in Minas Gerais State, Brazil. The adulterant detection and the cocaine determination were performed by gas chromatography-mass spectrometry (GC-MS). Spectra of 91 samples were obtained by attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR) and used to build an exploratory principal component analysis (PCA) model. The first principal component (PC1) discriminated samples of more purity from the more diluted/adulterated ones, which were characterized by the presence of lidocaine, caffeine and benzocaine. PC2 discriminated the two chemical forms of cocaine, hydrochloride and base. In addition, two supervised discriminant partial least-squares models (partial least-squares discriminant analysis, PLS-DA) were developed for classifying the samples according to dilution (above and below 15% m/m) and chemical form, with a rate of success that varied between 83 and 97%. The classification models constitute a simple, rapid and non-destructive tool, of great value for both forensic experts and criminal investigators.
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spelling Analysis of seized cocaine samples by using chemometric methods and FTIR spectroscopyillicit drugsMID infraredprincipal component analysiscocainechemometricsThe aim of this article was to develop a chemometric methodology for determining the chemical profile of cocaine samples seized in Minas Gerais State, Brazil. The adulterant detection and the cocaine determination were performed by gas chromatography-mass spectrometry (GC-MS). Spectra of 91 samples were obtained by attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR) and used to build an exploratory principal component analysis (PCA) model. The first principal component (PC1) discriminated samples of more purity from the more diluted/adulterated ones, which were characterized by the presence of lidocaine, caffeine and benzocaine. PC2 discriminated the two chemical forms of cocaine, hydrochloride and base. In addition, two supervised discriminant partial least-squares models (partial least-squares discriminant analysis, PLS-DA) were developed for classifying the samples according to dilution (above and below 15% m/m) and chemical form, with a rate of success that varied between 83 and 97%. The classification models constitute a simple, rapid and non-destructive tool, of great value for both forensic experts and criminal investigators.Sociedade Brasileira de Química2013-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532013000300019Journal of the Brazilian Chemical Society v.24 n.3 2013reponame:Journal of the Brazilian Chemical Society (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.5935/0103-5053.20130066info:eu-repo/semantics/openAccessRodrigues,Nathália V. S.Cardoso,Eduardo M.Andrade,Marcus V. O.Donnici,Cláudio L.Sena,Marcelo M.eng2013-05-24T00:00:00Zoai:scielo:S0103-50532013000300019Revistahttp://jbcs.sbq.org.brONGhttps://old.scielo.br/oai/scielo-oai.php||office@jbcs.sbq.org.br1678-47900103-5053opendoar:2013-05-24T00:00Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)false
dc.title.none.fl_str_mv Analysis of seized cocaine samples by using chemometric methods and FTIR spectroscopy
title Analysis of seized cocaine samples by using chemometric methods and FTIR spectroscopy
spellingShingle Analysis of seized cocaine samples by using chemometric methods and FTIR spectroscopy
Rodrigues,Nathália V. S.
illicit drugs
MID infrared
principal component analysis
cocaine
chemometrics
title_short Analysis of seized cocaine samples by using chemometric methods and FTIR spectroscopy
title_full Analysis of seized cocaine samples by using chemometric methods and FTIR spectroscopy
title_fullStr Analysis of seized cocaine samples by using chemometric methods and FTIR spectroscopy
title_full_unstemmed Analysis of seized cocaine samples by using chemometric methods and FTIR spectroscopy
title_sort Analysis of seized cocaine samples by using chemometric methods and FTIR spectroscopy
author Rodrigues,Nathália V. S.
author_facet Rodrigues,Nathália V. S.
Cardoso,Eduardo M.
Andrade,Marcus V. O.
Donnici,Cláudio L.
Sena,Marcelo M.
author_role author
author2 Cardoso,Eduardo M.
Andrade,Marcus V. O.
Donnici,Cláudio L.
Sena,Marcelo M.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Rodrigues,Nathália V. S.
Cardoso,Eduardo M.
Andrade,Marcus V. O.
Donnici,Cláudio L.
Sena,Marcelo M.
dc.subject.por.fl_str_mv illicit drugs
MID infrared
principal component analysis
cocaine
chemometrics
topic illicit drugs
MID infrared
principal component analysis
cocaine
chemometrics
description The aim of this article was to develop a chemometric methodology for determining the chemical profile of cocaine samples seized in Minas Gerais State, Brazil. The adulterant detection and the cocaine determination were performed by gas chromatography-mass spectrometry (GC-MS). Spectra of 91 samples were obtained by attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR) and used to build an exploratory principal component analysis (PCA) model. The first principal component (PC1) discriminated samples of more purity from the more diluted/adulterated ones, which were characterized by the presence of lidocaine, caffeine and benzocaine. PC2 discriminated the two chemical forms of cocaine, hydrochloride and base. In addition, two supervised discriminant partial least-squares models (partial least-squares discriminant analysis, PLS-DA) were developed for classifying the samples according to dilution (above and below 15% m/m) and chemical form, with a rate of success that varied between 83 and 97%. The classification models constitute a simple, rapid and non-destructive tool, of great value for both forensic experts and criminal investigators.
publishDate 2013
dc.date.none.fl_str_mv 2013-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532013000300019
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532013000300019
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/0103-5053.20130066
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.24 n.3 2013
reponame:Journal of the Brazilian Chemical Society (Online)
instname:Sociedade Brasileira de Química (SBQ)
instacron:SBQ
instname_str Sociedade Brasileira de Química (SBQ)
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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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