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In this study, the antioxidant capability, total phenolic content and antimicrobial activity of ethanolic extracts of seven fruits from the Brazilian Atlantic Forest were evaluated. The conditions for the extraction of crude phenolics from the fruits were determined using an experimental factorial design. Total phenolic content, 1,1-diphenyl-2-picrylhydrazyl radical (DPPH • ) scavenging activity and b-carotene-linoleic acid couple oxidation assays were used to evaluate the antioxidant properties of the extracts. In addition, antimicrobial activity was screened using two Gram-negative bacteria (Escherichia coli and Klebsiella pneumoniae) and one Gram-positive bacterium (Staphylococcus aureus). All native fruits assayed in this study have high potential as natural antioxidant sources. Among the seven fruits evaluated, Jabuticaba and Uvaia had the highest antioxidant activity in the DPPH • and of b-carotene-linoleic acid coupled oxidation assays. In the biological assay, K. pneumoniae was the most sensitive microorganism to the fruit extracts, and the Jabuticaba extract had a slight inhibitory effect against this Gram-positive bacterium.

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Lactobacillus acidophilus or Bifidobacterium animalis subsp. lactis Bb-12 and green banana pulp were used in order to obtain potentially probiotic and prebiotic yoghurts, which were compared over a 45-day storage period. Goat milk yoghurts demonstrated probiotic effects up to 45 days of storage. Cow milk yoghurts produced with B. animalis subsp. lactis Bb-12 showed a probiotic effect reduction during the storage period (1.74 log CFU/g). The type of milk affected the yoghurts' chemical and physicochemical properties. Sensory acceptance was also affected, where cow milk yoghurts were better accepted than goat milk ones.

Bioactive compounds and antioxidant activity from 44 fruit were evaluated. The data were statistically evaluated by analysis of common components and specific weights (CCSWA). Panã, acerola, açaí, and jabuticaba showed higher values of total phenolic compounds (TPCs) and antioxidant activity. The analysis of CCSWA was able to explain almost 100% of the variance of the data and established the correlation between TPC and antioxidant capacity, being the most influential variables in the classification of samples. This statistical method is ideal for quickly analyzing a large amount of data, as obtained in this research, which facilitates routines of industrial analysis.

Summary The objective of this study was to test a complex constrained simplex, direct search, sequential method for the optimization of a ternary mixture of protein ingredients used in a formulation for the preparation of a milk drink regularly consumed in institutional nutritional programmes. Three proteins [hydrolysed gelatine (HG), wheat gluten (WG) and soybean protein isolate (SPI)] were mixed according to a simplex‐centroid design, in order to explore the possible synergies between the sensory, nutritional and economic attributes. Mixtures containing different proportions of the three ingredients were submitted to sensory, nutritional and economic evaluations. All responses were modelled using Scheffé's canonical equations. A microinformatics application was developed in order to permit optimization to be computed. The optimum solution obtained by this non‐linear programming was HG = 20%, WG = 27% and SPI = 53%, suggesting that the program is efficient and flexible enough for multiresponse optimization. The optimal point behaviour of the entry variables (HG, WG and SPI) can be monitored with graphs of the trace plot type, in which the proportion of two variables is fixed and the third is allowed to vary in relation to the desired response.