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|Título:||Modeling of the phenolic compounds and antioxidant activity of blueberries by artiﬁcial neural networks for data mining|
|Citação:||Guiné RPF, Matos S, Gonçalves F, Costa DVTA, Mendes M. (2015) Modeling of the phenolic compounds and antioxidant activity of blueberries by artiﬁcial neural networks for data mining, in Proceedings of ICEUBI2015 – International Conference of Engineering: Engineering for Society, Covilhã, 10 pp.|
|Resumo:||The present work’s goal was to evaluate the eﬀect of diﬀerent production and conservation conditions, as well as extraction procedures on the phenolic compounds and antioxidant activity of blueberries from cultivar Bluecrop. The production factors considered were origin, altitude of the farm location and age of the bushes, and the conservation was under freezing as opposed to the fresh product. The extraction procedures included two diﬀerent solvents and diﬀerent orders of the extraction. Data analysis was performed by training artiﬁcial neural networks to model the data and extract information from the model. The results showed that the type of extract and the order of extraction inﬂuence the concentrations of phenolic compounds as well as the antioxidant activity of the diﬀerent samples studied. As to the origin of the farms from where the blueberries were collected, it was found to signiﬁcantly inﬂuence these properties, so that the blueberries from Oliveira do Hospital showed less phenolic compounds and lower antioxidant activity. Older bushes at higher altitudes seem to produce richer berries. Regarding conservation, no inﬂuence was observed for phenols but a slight inﬂuence could be detected for antioxidant activity.|
|Aparece nas colecções:||ESAV - DIA - Documentos de congressos (comunicações, posters, actas)|
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|2015_Covilha_ICEUBI_Ata_Raquel_Mirtilo ANN.pdf||3,5 MB||Adobe PDF||Ver/Abrir|
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