925 resultados para Food Technology
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The aim of this study was to produce and physicochemically characterize beer elaborated with honey. Beer production assays were carried out with nine treatments, the combination of three concentrations of the original extract (11, 13 and 15 ºBrix) with three percentages of honey in the wort formulation (0, 20 and 40%). The experiment was completely randomized with two replicates, giving a total of eighteen trials. Mashing was carried out by infusion and the honey was added during the boiling step. After clarification, the extract content was corrected with water and the wort then inoculated with bottom-fermenting yeast. Fermentation was at 10 ºC. The beer was bottled manually and stored in a freezer at a temperature of 0 ºC for 15 days, for maturation. The beers were analyzed for their alcohol content, true extract, apparent extract, colour, bitterness, turbidity, pH, total acidity, carbon dioxide, foam density and total foam. The results of the physicochemical analysis were subjected to an analysis of variance, and the means compared by Tukey's test at 5% probability. All beers were considered to be pale. The presence of honey in the formulation enhanced carbonation, foam density and total foam, but the beers were less bitter and less acid.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Agronomia - FEIS
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Hazard analysis and critical control points (HACCP) is one of the main tools currently used to ensure safety, quality and integrity of foods. So, the aim of this study was to develop and implement the HACCP program in the processing of pasteurized grade A milk Checklists were used to assess on the level of the pre requisites programs and on the sanitary classification of the dairy industry and the results were used as references for the development of the HACCP system. A "decision tree" protocol was used for the identification of the critical control points (CCP). No physical or chemical CCP were identified, whereas pasteurization and packaging were considered biological CCP For these CCP, the limits for prevention, monitoring needs, corrective actions, critical limits and verification procedures were established. The pre requisites program was essential for the establishment of the system. The implementation of the HACCP for the processing of grade A pasteurized milk was efficient to control the biological hazards and enabled the product to comply with the legislation specifications and achieve safety.
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Beef quality control, particularly its sensory characteristics, is an important factor for producers and retailers in order to satisfy consumer’s choices. Sensory analysis is an important tool to evaluate attributes that cannot be measured by easily available instrumental techniques, as well as texture – tenderness and juiciness – whose human perception is more complete, through trained panels. The aim of this study was evaluate the use of a beef sensory analysis protocol in three different laboratories. Six commercial samples of different brands of aged beef and 14 samples from crossbred animals (Bonsmara × Nelore - 7 and Canchim × Nelore - 7), aged during 14 days were analyzed. The samples were distributed to each participant laboratory, where 7 to 12 panelists were trained. A sheet containing a 9 cm non-structured scale with 14 attributes was used. The attributes were brown colour (CMAR); aponevrosis (PNAP); hydration degree (GH); characteristic beef aroma (SCCB); salty taste (SS); liver flavour (SF); fat flavour (SG); metallic flavour (SM); tenderness (MZ); juiciness (SL); fibrosity (FBS) and liver texture (SF). Obtained data was analyzed using analysis of variance and principal component analysis (PCA). The results showed that there was no interaction between samples and laboratories, indicating that all of them responded in a similar manner in relation to the samples, except PNAP attribute, which was expected as meat is very non-uniform normally. Samples were well differentiated in all laboratories as it could be observed in PCA graphs. With proper training it is possible to use a standard protocol for beef sensory analysis.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)