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Please use this identifier to cite or link to this item: http://hdl.handle.net/10198/732

Título: Classification PDO olive oils on the basis of their sterol composition by multivariate analysis
Autor: Alves, M.R.
Amaral, J.S.
Cunha, S.C.
Pereira, J.A.
Oliveira, M.B.P.P.
Palavras-chave: Sterols
Olive oil
Multivariate analysis
Biplots
Issue Date: 2005
Editora: Elsevier http://www.sciencedirect.com/science/journal/00032670
Citação: Analytica Chimica Acta. ISSN 0003-2670. 549:1-2 p. 166-178.
Resumo: The sterol compositions (GLC/FID/capillary column) of monovarietal olive oils (51 samples) from the most important cultivars of northeastern Portugal (Cvs. Cobranc¸osa, Madural and Verdeal Transmontana) and 27 commercial samples of olive oils with protected denomination of origin (PDO) from the same region and cultivars were evaluated. Δ-sitosterol, Δ5-avenasterol and campesterol were the most representative sterols. Cholesterol, stigmasterol, clerosterol and Δ7-stigmastenol were also found in all samples. All studied samples respected EC Regulation N. 2568, and in all cases total sterols were remarkably higher than the minimum limit set by legislation, ranging from 2003 to 2682 mg/kg. Results were analysed with the help of several statistical techniques, including reduction of dimensionality by principal component analysis with cross-validation of the number of components, followed by the use of canonical variate predictive biplots for model development and canonical variate interpolative biplots for approximate classification of monovarietal and PDO olive oils. These biplots proved to be a very interesting solution in the present case study, overcoming the problems of interpretation and classification that arise whenever different multivariate analyses are coupled together.
URI: http://hdl.handle.net/10198/732
ISSN: 0003-2670
Appears in Collections:PTV - Artigos em Revistas Indexados ao ISI
CIMO - Artigos em Revistas Indexados ao ISI
DTQB - Artigos em Revistas Indexados ao ISI

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