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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

UV-Vis spectrometric detection of biodiesel/diesel blend adulterations with soybean oil

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Author(s):
David D. S. Fernandes [1] ; Adriano A. Gomes [1] ; Marcelo M. de Fontes [2] ; Gean B. da Costa [2] ; Valber E. de Almeida [3] ; Mario C. U. de Araújo [6] ; Roberto K. H. Galvão [7] ; Germano Véras [8]
Total Authors: 8
Affiliation:
[1] Univ Fed Paraiba, Dept Quim, Lab Automacao & Instrumentacao Quim Analit Quimio, BR-58051970 Joao Pessoa, Paraiba - Brazil
[2] Univ Estadual Paraiba, CCT, Programa Posgrad Ciencias Agr, BR-58429500 Campina Grande, PB - Brazil
[3] Univ Estadual Paraiba, CCT, Dept Quim, BR-58429500 Campina Grande, PB - Brazil
[4] Universidade Federal da Paraíba. Departamento de Química. Laboratório de Automação e Instrumentação em Química Analítica/Quimiometria - Brasil
[5] Instituto Tecnológico de Aeronáutica. Divisão de Engenharia Eletrônica - Brasil
[6] Universidade Estadual da Paraíba. Departamento de Química - Brasil
Total Affiliations: 6
Document type: Journal article
Source: Journal of the Brazilian Chemical Society; v. 25, n. 1, p. 169-175, 2014-01-00.
Abstract

A method for detecting adulterations of biodiesel/diesel blends (B5) with soybean oil using UV-Vis spectrometry is proposed. The study involves 90 samples comprising B5 blends with and without the addition of soybean oil (0.5 to 2.5% v/v). Suitable discrimination was achieved by using SIMCA (soft independent modeling of class analogy), KNN (K-nearest neighbors), PLS-DA (partial least squares discriminant analysis) and SPA-LDA (linear discriminant analysis with spectral variables selected by the successive projections algorithm) classifiers. (AU)

FAPESP's process: 11/17610-0 - Monitoring and control of dynamic systems subject to faults
Grantee:Roberto Kawakami Harrop Galvão
Support Opportunities: Research Projects - Thematic Grants