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Supervised chemical pattern recognition in almond (Prunus dulcis) Portuguese PDO cultivars: PCA- and LDA-based triennial study.
J Agric Food Chem. 2012 Sep 26; 60(38):9697-704.JA

Abstract

Almonds harvested in three years in Trás-os-Montes (Portugal) were characterized to find differences among Protected Designation of Origin (PDO) Amêndoa 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. α-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.

Authors+Show Affiliations

Barreira JC
CIMO-ESAB, Instituto Politécnico de Bragança , Campus de Santa Apolónia, Apartado 1172, 5301-855 Bragança, Portugal.
Casal S
No affiliation info available
Ferreira IC
No affiliation info available
Peres AM
No affiliation info available
Pereira JA
No affiliation info available
Oliveira MB
No affiliation info available

MeSH

Analysis of VarianceDiscriminant AnalysisFatty AcidsFood AnalysisNutritive ValuePortugalPrincipal Component AnalysisPrunusTocopherolsTocotrienolsTriglyceridesalpha-Tocopherol

Pub Type(s)

Journal Article

Language

eng

PubMed ID

22954238

Citation

Barreira, João C M., et al. "Supervised Chemical Pattern Recognition in Almond (Prunus Dulcis) Portuguese PDO Cultivars: PCA- and LDA-based Triennial Study." Journal of Agricultural and Food Chemistry, vol. 60, no. 38, 2012, pp. 9697-704.
Barreira JC, Casal S, Ferreira IC, et al. Supervised chemical pattern recognition in almond (Prunus dulcis) Portuguese PDO cultivars: PCA- and LDA-based triennial study. J Agric Food Chem. 2012;60(38):9697-704.
Barreira, J. C., Casal, S., Ferreira, I. C., Peres, A. M., Pereira, J. A., & Oliveira, M. B. (2012). Supervised chemical pattern recognition in almond (Prunus dulcis) Portuguese PDO cultivars: PCA- and LDA-based triennial study. Journal of Agricultural and Food Chemistry, 60(38), 9697-704.
Barreira JC, et al. Supervised Chemical Pattern Recognition in Almond (Prunus Dulcis) Portuguese PDO Cultivars: PCA- and LDA-based Triennial Study. J Agric Food Chem. 2012 Sep 26;60(38):9697-704. PubMed PMID: 22954238.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Supervised chemical pattern recognition in almond (Prunus dulcis) Portuguese PDO cultivars: PCA- and LDA-based triennial study. AU - Barreira,João C M, AU - Casal,Susana, AU - Ferreira,Isabel C F R, AU - Peres,António M, AU - Pereira,José Alberto, AU - Oliveira,M Beatriz P P, Y1 - 2012/09/17/ PY - 2012/9/8/entrez PY - 2012/9/8/pubmed PY - 2013/5/1/medline SP - 9697 EP - 704 JF - Journal of agricultural and food chemistry JO - J Agric Food Chem VL - 60 IS - 38 N2 - Almonds harvested in three years in Trás-os-Montes (Portugal) were characterized to find differences among Protected Designation of Origin (PDO) Amêndoa 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. α-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. SN - 1520-5118 UR - https://www.unboundmedicine.com/medline/citation/22954238/Supervised_chemical_pattern_recognition_in_almond__Prunus_dulcis__Portuguese_PDO_cultivars:_PCA__and_LDA_based_triennial_study_ L2 - https://doi.org/10.1021/jf301402t DB - PRIME DP - Unbound Medicine ER -