Analysis of seized cocaine samples by using chemometric methods and FTIR spectroscopy
Autor(a) principal: | |
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Data de Publicação: | 2013 |
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=S0103-50532013000300019 |
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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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 |
format |
article |
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) |
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_ |
1750318174802280448 |