Edible seeds clustering based on phenolics and antioxidant activity using multivariate analysis. (December 2021)

• Record Type: Journal Article
• Authors: de Barros, Hanna Elisia Araújo; Alexandre, Ana Cláudia Silveira; Campolina, Gabriela Aguiar; Alvarenga, Gabriela Fontes; Silva, Lara Maria dos Santos Ferraz e; Natarelli, Caio Vinicius Lima; Carvalho, Elisângela Elena Nunes; Vilas Boas, Eduardo Valério de Barros
• Is Part Of: Lebensmittel-Wissenschaft + Technologie =. Volume 152(2021)
• Publication Date: 2021-12
• Subjects: Bioactive compounds -- Nuts -- Principal component analysis -- Hierarchical clusters analysis -- Artificial neural network; Food industry and trade -- Periodicals; Food -- Composition -- Periodicals; Microbiology -- Periodicals; Nutrition -- Periodicals; 664.005
• DOI: 10.1016/j.lwt.2021.112372
• Languages: English
• ISSNs: 0023-6438

Abstract

Abstract: Edible 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. Highlights: Walnut Butterfly showed the highest TPC and antioxidant activity. Multivariate analyses classified the different samples into three groups. There is a nutritional similarity between regional seeds and traditional nuts. ANN/KSOMs were more intuitive and visual in grouping the samples. Regional seeds are food alternatives with antioxidants.