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dc.contributor.authorSANTANA, F. B. de
dc.contributor.authorSOUZA, A. M. de
dc.contributor.authorALMEIDA, M. R.
dc.contributor.authorBREITKREITZ, M. C.
dc.contributor.authorFILGUEIRAS, P. R.
dc.contributor.authorSENA, M. M.
dc.contributor.authorPOPPI, R. J.
dc.date.accessioned2020-06-23T11:13:01Z-
dc.date.available2020-06-23T11:13:01Z-
dc.date.created2020-06-22
dc.date.issued2020
dc.identifier.citationQuímica Nova, v. 43, n. 3, p. 371-381, 2020.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1123410-
dc.descriptionA teaching experiment on supervised pattern recognition in chemometrics was proposed in this tutorial to introduce partial least squares discriminant analysis (PLS-DA). A new approach of the experiment published in the first tutorial of this series was revisited and employed to the classification of edible vegetable oils. The spectra of olive, canola, soybean and corn oils were obtained using an attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectrometer in the range of 600 to 4000 cm-1. The combination of ATR-FTIR and PLS-DA classification method was able to correctly classify 100% of the validation samples. The Matlab commands, routines and functions were presented, and a didactic explanation of the concepts and interpretation of the data was provided.
dc.language.isopor
dc.rightsopenAccesspt_BR
dc.subjectExperimento didático
dc.subjectEspectroscopia
dc.subjectQuimiometria
dc.titleExperimento didático de quimiometria para classificação de óleos vegetais comestíveis por espectroscopia no infravermelho médio combinado com análise discriminante por mínimos quadrados parciais: um tutorial, parte v.
dc.typeArtigo de periódico
dc.subject.thesagroRaio Infravermelho
dc.subject.nalthesaurusInfrared spectroscopy
riaa.ainfo.id1123410
riaa.ainfo.lastupdate2020-07-21 -03:00:00
dc.identifier.doihttps://doi.org/10.21577/0100-4042.20170480pt_BR
dc.contributor.institutionFELIPE BACHION DE SANTANA, UNICAMP; ANDRE MARCELO DE SOUZA, CNPS; MARIANA RAMOS ALMEIDA, UFMG; MÁRCIA CRISTINA BREITKREITZ, UNICAMP; PAULO ROBERTO FILGUEIRAS, UFES; MARCELO MARTINS SENA, UFMG; RONEI JESUS POPPI, UNICAMP.
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