Edible seeds clustering based on phenolics and antioxidant activity using multivariate analysis

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorBarros, Hanna Elisia Araújo de-
Autor(es): dc.creatorAlexandre, Ana Cláudia Silveira-
Autor(es): dc.creatorCampolina, Gabriela Aguiar-
Autor(es): dc.creatorAlvarenga, Gabriela Fontes-
Autor(es): dc.creatorSilva, Lara Maria dos Santos Ferraz e-
Autor(es): dc.creatorNatarelli, Caio Vinicius Lima-
Autor(es): dc.creatorCarvalho, Elisângela Elena Nunes-
Autor(es): dc.creatorVilas Boas, Eduardo Valério de Barros-
Data de aceite: dc.date.accessioned2026-02-09T12:53:52Z-
Data de disponibilização: dc.date.available2026-02-09T12:53:52Z-
Data de envio: dc.date.issued2022-05-16-
Data de envio: dc.date.issued2022-05-16-
Data de envio: dc.date.issued2021-11-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/49954-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1170459-
Descrição: dc.descriptionEdible seeds, especially those known by the population as nuts, have their consumption associated with functional appeal. The present study aimed to compare and group nine different seeds, traditional and regional, according to their similarities, in terms of moisture, total phenolic compounds (TPC) and antioxidant activity, through multivariate analyses. All results were submitted to Principal Component Analysis (PCA), Hierarchical Clusters (HCA) and Kohonen's self-organizing maps (ANN/KSOM). The seeds differed in terms of moisture content, TPC and antioxidant activity. The walnut butterfly stood out with the highest levels of TPC and antioxidant activity. In the multivariate analyses application, three groups were formed: i) hazel, baru, Brazil, macadamia, almond and cashew; ii) pequi and marolo; iii) walnut butterfly. It is concluded that the seeds can be separated into three groups, with ANN/KSOMs being the most self-explanatory analysis and that regional seeds are nutritionally similar to those traditionally consumed.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherElsevier-
Direitos: dc.rightsacesso aberto-
Direitos: dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/-
Direitos: dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/-
???dc.source???: dc.sourceLWT - Food Science and Technology-
Palavras-chave: dc.subjectBioactive compounds-
Palavras-chave: dc.subjectNuts-
Palavras-chave: dc.subjectPrincipal component analysis-
Palavras-chave: dc.subjectHierarchical clusters analysis-
Palavras-chave: dc.subjectArtificial neural network-
Palavras-chave: dc.subjectCompostos bioativos-
Palavras-chave: dc.subjectNozes-
Palavras-chave: dc.subjectAnálise de Componentes Principais-
Palavras-chave: dc.subjectMétodos hierárquicos da análise de cluster-
Palavras-chave: dc.subjectRede neural artificial-
Título: dc.titleEdible seeds clustering based on phenolics and antioxidant activity using multivariate analysis-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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