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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2012

Autores

Joao C M Barreira (Autor) Outra; Susana Casal (Autor) FFUP; Isabel C F R Ferreira (Autor) Outra; Antonio M Peres (Autor) Outra; Jose Alberto Pereira (Autor) Outra; Beatriz B P P Oliveira (Autor) FFUP

Revista

Título: Journal of Agricultural and Food Chemistry

Vol. 60

Páginas: 9697-9704

ISSN: 0021-8561

Editora: American Chemical Society

Indexação

ISI Web of Knowledge - 30 Citações

Scopus - 30 Citações

Classificação Científica

FOS: Ciências agrárias > Outras ciências agrárias

Outras Informações

ID Authenticus: P-002-5CH

DOI: 10.1021/jf301402t

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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8