Supervised Chemical Pattern Recognition in Almond (Prunus dulcis) Portuguese PDO Cultivars: PCA- and LDA-Based Triennial Study
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- 作者：Jo茫o C. M. Barreira ; Susana Casal ; Isabel C. F. R. Ferreira ; Ant贸nio M. Peres ; Jos茅 Alberto Pereira ; M. Beatriz P. P. Oliveira
- 刊名：Journal of Agricultural and Food Chemistry
- 出版年：2012
- 出版时间：September 26, 2012
- 年：2012
- 卷：60
- 期：38
- 页码：9697-9704
- 全文大小：287K
- 年卷期：v.60,no.38(September 26, 2012)
- ISSN：1520-5118
文摘
Almonds harvested in three years in Tr谩s-os-Montes (Portugal) were characterized to find differences among Protected Designation of Origin (PDO) Am锚ndoa 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. 伪-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.