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Supervised Chemical Pattern Recognition in Almond (Prunus dulcis) Portuguese PDO Cultivars: PCA- and LDA-Based Triennial Study

Title
Supervised Chemical Pattern Recognition in Almond (Prunus dulcis) Portuguese PDO Cultivars: PCA- and LDA-Based Triennial Study
Type
Article in International Scientific Journal
Year
2012
Authors
Joao C M Barreira
(Author)
Other
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Isabel C F R Ferreira
(Author)
Other
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Antonio M Peres
(Author)
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Jose Alberto Pereira
(Author)
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Beatriz B P P Oliveira
(Author)
FFUP
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Journal
Vol. 60
Pages: 9697-9704
ISSN: 0021-8561
Scientific classification
FOS: Agrarian Sciences > Other Agrarian Sciences
Other information
Authenticus ID: P-002-5CH
Abstract (EN): Almonds harvested in three years in Tras-os-Montes (Portugal) were characterized to find differences among Protected Designation of Origin (PDO) Amendoa Douro and commercial non-PDO cultivars. Nutritional parameters, fiber (neutral and acid detergent fibers, acid detergent lignin, and cellulose), fatty acids, triacylglycerols (TAG), and tocopherols were evaluated. Fat was the major component, followed by carbohydrates, protein, and moisture. Fatty acids were mostly detected as monounsaturated and polyunsaturated forms, with relevance of oleic and linoleic acids. Accordingly, 1,2,3-trioleoylglycerol and 1,2-dioleoyl-3-linoleoylglycerol were the major TAG. a-Tocopherol was the leading tocopherol. To verify statistical differences among PDO and non-PDO cultivars independent of the harvest year, data were analyzed through an analysis of variance, a principal component analysis, and a linear discriminant analysis (LDA). These differences identified classification parameters, providing an important tool for authenticity purposes. The best results were achieved with TAG analysis coupled with LDA, which proved its effectiveness to discriminate almond cultivars.
Language: English
Type (Professor's evaluation): Scientific
Contact: jpereira@ipb.pt; beatoliv@ff.up.pt
No. of pages: 8
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