Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/360839
Type: Artigo
Title: Experimento 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
Title Alternative: Didactic experiment of chemometrics for the classification of edible vegetable oils by fourier transform infrared spectroscopy and partial least squares discriminant analysis: a tutorial, part V
Author: Santana, Felipe
Souza, André
Almeida, Mariana
Breitkreitz, Márcia
Filgueiras, Paulo
Sena, Marcelo
Poppi, Ronei
Abstract: A 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
Subject: Espectroscopia de infravermelho
Country: Brasil
Editor: Sociedade Brasileira de Química
Rights: Aberto
Identifier DOI: 10.21577/0100-4042.20170480
Address: http://quimicanova.sbq.org.br/detalhe_artigo.asp?id=8036
Date Issue: 2020
Appears in Collections:IQ - Artigos e Outros Documentos

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