Utilize este identificador para referenciar este registo: http://hdl.handle.net/10198/24352
Título: Olive oil characteristics of eleven cultivars produced in a high-density grove in Valladolid province (Spain)
Autor: Rodrigues, Nuno
Casal, Susana
Pinho, Teresa
Cruz, Rebeca
Baptista, Paula
Martín, Hugo
Asensio-S.-Manzanera, M. Carmen
Peres, António M.
Pereira, J.A.
Palavras-chave: Chemical composition
Cultivar discrimination
Monovarietal olive oils
Oxidative stability
Quality parameters
Data: 2021
Citação: Rodrigues, Nuno; Casal, Susana; Pinho, Teresa; Cruz, Rebeca; Baptista, Paula; Martín, Hugo; Asensio-S.-Manzanera, M. Cármen; Peres, António M.; Pereira, José Alberto (2021). Olive oil characteristics of eleven cultivars produced in a high-density grove in Valladolid province (Spain). European Food Research and Technology. ISSN 1438-2377. 247:12, p. 3113-3122
Resumo: The olive oil composition of eleven cultivars (cvs. Arbequina, Arbosana, Arroniz, Cornicabra, Frantoio, Hojiblanca, Manzanilla, Picual, Picudo, Redondilla and Royuela) cultivated in a high-density olive grove located in a non-traditional producing region (Valladolid, Spain) was studied during four consecutive crop seasons. The results showed that the 122 monovarietal olive oils studied could be classified as extra virgin oils, according to the quality parameters. Furthermore, the olive cultivar had a marked effect on the chemical composition and antioxidant activity. In general, olive oils from cvs. Picual and Cornicabra showed the highest total phenolic contents, oxidative stability, and tocopherols contents, whereas the worst results for oxidative stability were observed for cv. Redondilla olive oils, probably associated to the lowest contents of phenolics and tocopherols and the highest amounts of polyunsaturated fatty acids. Finally, it was found that, despite the different crop years evaluated, the quality-chemical profiles could be used to successfully discriminate the monovarietal oils under study (linear discriminant analysis sensitivities: 92 ± 5% for the repeated K-fold cross-validation), using the data of 15 non-redundant variables identified by the simulated annealing variable selection algorithm.
Peer review: yes
URI: http://hdl.handle.net/10198/24352
DOI: 10.1007/s00217-021-03858-z
ISSN: 1438-2377
Aparece nas colecções:CIMO - Artigos em Revistas Indexados à WoS/Scopus

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