Document Detail

Classification of edible vegetable oils using square wave voltammetry with multivariate data analysis.
MedLine Citation:
PMID:  19159780     Owner:  NLM     Status:  MEDLINE    
This paper proposes a simple and non-expensive electroanalytical methodology for classification of edible vegetable oils with respect to type (canola, sunflower, corn and soybean) and conservation state (expired and non-expired shelf life). The proposed methodology employs an alcoholic extraction procedure followed by square wave voltammetry (SWV). Two chemometric methods were compared for classification of the resulting voltammograms, namely Soft Independent Modelling of Class Analogy (SIMCA) and Linear Discriminant Analysis (LDA) with variable selection by the Successive Projections Algorithm (SPA). The results were evaluated in terms of errors in a set of samples not included in the modelling process. The best results were obtained with the SPA-LDA method, which correctly classified all samples in terms of type and conservation state.
Francisco Fernandes Gambarra-Neto; Glimaldo Marino; Mário César Ugulino Araújo; Roberto Kawakami Harrop Galvão; Márcio José Coelho Pontes; Everaldo Paulo de Medeiros; Renato Sousa Lima
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2008-10-14
Journal Detail:
Title:  Talanta     Volume:  77     ISSN:  1873-3573     ISO Abbreviation:  Talanta     Publication Date:  2009 Mar 
Date Detail:
Created Date:  2009-01-22     Completed Date:  2009-02-27     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  2984816R     Medline TA:  Talanta     Country:  England    
Other Details:
Languages:  eng     Pagination:  1660-6     Citation Subset:  IM    
Universidade Federal da Paraíba, Departamento de Química, João Pessoa, PB, Brazil.
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MeSH Terms
Electrochemistry / methods*
Food Analysis
Food Preservation
Multivariate Analysis
Plant Extracts
Plant Oils / analysis,  classification*
Reg. No./Substance:
0/Plant Extracts; 0/Plant Oils

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