Screening analysis of biodiesel feedstock using UV-vis, NIR and synchronous fluorescence spectrometries and the successive projections algorithm

TALANTA

卷:97

Article

Insausti, Matias²  Gomes, Adriano A.¹  Cruz, Fernanda V.¹  Pistonesi, Marcelo F.²  Araujo, Mario C. U.¹  Galvao, Roberto K. H.³  Pereira, Claudete F.⁴  Band, Beatriz S. F.² 

[1] Univ Fed Paraiba, Dept Quim, Lab Automacao & Instrumentacao Quim Analit Quimio, BR-58051970 Joao Pessoa, Paraiba, Brazil

[2] Univ Nacl Sur, Sect Quim Analit, INQUISUR CONICET, FIA Lab, RA-8000 Bahia Blanca, Buenos Aires, Argentina

[3] Inst Tecnol Aeronaut, Div Engn Eletron, Sao Jose Dos Campos, SP, Brazil

[4] Univ Fed Rural Pernambuco, Dept Quim, BR-52171900 Recife, PE, Brazil

关键词: Biodiesel;    UV-vis;    Near infrared and synchronous;    Fluorescence spectrometry;    Wavelength selection;    SIMCA;    Successive projections algorithm;    Linear discriminant analysis;   

DOI  :  10.1016/j.talanta.2012.04.056

来源: Elsevier

【 摘 要 】

This paper investigates the use of UV-vis, near infrared (NIR) and synchronous fluorescence (SF) spectrometries coupled with multivariate classification methods to discriminate biodiesel samples with respect to the base oil employed in their production. More specifically, the present work extends previous studies by investigating the discrimination of corn-based biodiesel from two other biodiesel types (sunflower and soybean). Two classification methods are compared, namely full-spectrum SIMCA (soft independent modelling of class analogies) and SPA-LDA (linear discriminant analysis with variables selected by the successive projections algorithm). Regardless of the spectrometric technique employed, full-spectrum SIMCA did not provide an appropriate discrimination of the three biodiesel types. In contrast, all samples were correctly classified on the basis of a reduced number of wavelengths selected by SPA-LDA. It can be concluded that UV-vis, NIR and SF spectrometries can be successfully employed to discriminate corn-based biodiesel from the two other biodiesel types, but wavelength selection by SPA-LDA is key to the proper separation of the classes. (C) 2012 Elsevier B.V. All rights reserved.

【 授权许可】

Free