23 resultados para Food and drink industry


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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Engenharia e Ciência de Alimentos - IBILCE

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This article reports the results of a study that aimed at evaluating the effects of aging technique on cachaça samples produced and sold by small farmers in São Paulo State, Brazil. Cachaças, aged and not aged were sent by 10 cachaça producers that take part in the community project and course: São Paulo State Contest of Distillery Cachaça and Production Chain of Cachaça Meeting, organized by the Food and Nutrition Department of Pharmaceutical Sciences University, UNESP/Araraquara, SP, Brazil, in partnership with the Brazilian Service of Support to Micro and Small Enterprise of São Paulo State (SEBRAE-SP) and the Rural Union of Araraquara. The evaluation of the samples was made based on sensory tests conducted in Analysis and Quality Control of Foods and Drinks Laboratory of the Department. The survey results showed significantly higher acceptance average in the aged samples compared with not aged ones. The aging process, which was one of the topics discussed in the course, was considered as an effective way to improve the quality of cachaça, the research also confirmed the importance of the University support to improve the quality of food and drink produced in Brazil.

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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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Predicting and mapping productivity areas allows crop producers to improve their planning of agricultural activities. The primary aims of this work were the identification and mapping of specific management areas allowing coffee bean quality to be predicted from soil attributes and their relationships to relief. The study area was located in the Southeast of the Minas Gerais state, Brazil. A grid containing a total of 145 uniformly spaced nodes 50 m apart was established over an area of 31. 7 ha from which samples were collected at depths of 0. 00-0. 20 m in order to determine physical and chemical attributes of the soil. These data were analysed in conjunction with plant attributes including production, proportion of beans retained by different sieves and drink quality. The results of principal component analysis (PCA) in combination with geostatistical data showed the attributes clay content and available iron to be the best choices for identifying four crop production environments. Environment A, which exhibited high clay and available iron contents, and low pH and base saturation, was that providing the highest yield (30. 4l ha-1) and best coffee beverage quality (61 sacks ha-1). Based on the results, we believe that multivariate analysis, geostatistics and the soil-relief relationships contained in the digital elevation model (DEM) can be effectively used in combination for the hybrid mapping of areas of varying suitability for coffee production. © 2012 Springer Science+Business Media New York.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)