Sapucaia nut (Lecythis pisonis Cambess) and its by-products: A promising and underutilized source of bioactive compounds. Part II: Phenolic compounds profile.

In this study, the profile of the bioactive compounds of sapucaia nut (Lecythis pisonis Cambess) and its by-products have been investigated. The phenolic profile by LC-ESI-MS/MS, the total phenolic content, the condensed tannins and the antioxidant activity of the sapucaia nut and shell were determined. 14 phenolic compounds were identified in the sapucaia nut extract, primarily phenolic acids and flavonoids. Catechin, epicatechin, myricetin, ellagic acid and ferulic acid presented significant correlation to the antioxidant activity. The sapucaia shell contained 22 phenolic compounds, 13 of which were quantified. The sapucaia shell extract showed a high content of total phenolic compounds, a high condensed tannins content, and high antioxidant activity. The higher antioxidant activity of the shell can be associated with a higher content of phenolics. Overall, it can be concluded that the sapucaia nut is a raw material rich in phenolic compounds that present high antioxidant activity. The nuts and the cake may be used as a promising raw material for the food industry, while the shells could be an alternative source of natural antioxidants. Further use in the cosmetics and pharmaceutical industry may also be envisaged.

Sapucaia nut (Lecythis pisonis Cambess) and its by-products: A promising and underutilized source of bioactive compounds. Part I: Nutritional composition and lipid profile.

The nutritional composition of the sapucaia nut, cake and shell, the nut and cake minerals content and the lipid profile of the nut oil (fatty acids, tocopherols, phytosterols and triacylglycerols) were determined. The nuts and cake exhibited a high content of lipid (47.9 to 60.8 mg 100 g-1), protein (15.8 to 19.5 mg 100 g-1), dietary fiber (16.5 to 22.6 mg 100 g-1) and provided an excellent source of selenium (26.4 to 46.94 µg g-1). The oil contained a high amount of unsaturated fatty acids (39.7 to 45.4% of oleic and 32.2 to 46.6% of linoleic acids) and presented a high Oxidative Stability Index (8.57-12.95 h) indicating the presence of antioxidant compounds in the oil. The major triacylglycerols in the sapucaia oil were LLO, PLO, LOO, POO, OOO, PLL and LLL. The main bioactive lipids identified in the oil were γ-tocopherol (19.2 to 28.5 mg 100 g-1) and ß-sitosterol (92.8 to 194 mg 100 g-1). The results showed that the sapucaia nut and its by-products are a promising natural source of bioactive and nutritional compounds and when present in the diet can contribute to the maintenance of human health. In addition, the nut and by-product represents a promising raw material for the food industry.

Selection of mango rosa genotypes in a breeding population using the multivariate-biplot method / Seleção de genótipos em uma população de melhoramento de manga rosa usando o método multivariado biplot

ABSTRACT: Mango ( Mangifera indica L.) trees stand out among the main fruit trees cultivated in Brazil. The mango rosa fruit is a very popular local variety (landrace), especially because of their superior technological characteristics such as high contents of Vitamin C and soluble solids (SS), as well as attractive taste and color. The objective of this study was to select a breeding population of mango rosa (polyclonal variety; ≥5 individuals) that can simultaneously meet the fresh and processed fruit markets, using the multivariate method of principal components and the biplot graphic. The principal components, biplot graphic, and phenotype correlations were obtained using the R (2012) software. Pulp percentage and the pulp, skin, and seed mass variables can be indirectly selected using the smallest fruit diameter, which allowed an easier measurement. The P23R AREA3, P30R AREA3, and P32R AREA3 genotypes are selection candidates due to the presence of alleles, which are important agro-technological traits for mango breeding. This study showed that the biplot analysis is a valuable tool for decision making and visualization of interrelationships between variables and genotypes, facilitating the mango selection process.

RESUMO: Dentre as principais fruteiras cultivadas no Brasil, destaca-se a mangueira ( Mangifera indica L.). A manga rosa é uma variedade local bastante apreciada, especialmente devido a suas características tecnológicas superiores, tais como alto teor de Vitamina C, conteúdo de sólidos solúveis totais (SS), bem como sabor e cor atraentes. O objetivo deste estudo foi selecionar uma população de melhoramento de manga rosa (variedade policlonal; ≥5 indivíduos) que atenda simultaneamente aos mercados de frutas frescas e processadas, empregando o método multivariado de componentes principais e o gráfico biplot. Os componentes principais, o gráfico biplot e as correlações fenotípicas foram obtidos usando o software R (2012). As variáveis porcentagem de polpa e as massas de polpa, casca e semente podem ser selecionadas indiretamente por meio do diâmetro menor do fruto, que permite uma mensuração mais fácil. Os genótipos P23R ÁREA3, P30R ÁREA3, e P32R ÁREA3 são candidatos à seleção devido à presença de alelos para caracteres agrotecnológicos, que são importantes para o melhoramento da manga. Este estudo mostrou que a análise biplot é uma ferramenta valiosa para a tomada de decisão e visualização das inter-relações entre variáveis e genótipos, facilitando o processo seletivo da manga.