Características da carcaça e qualidade da carne de bovinos terminados em confinamento com silagem de milho processada mecanicamente

Pós-graduação em Zootecnia - FMVZ

Caracterização da qualidade e previsão dos parâmetros físico-químicos de gasolinas comerciais brasileiras através da aplicação de métodos quimiométricos em perfis (fingerprintings) espectroscópicos de ressonância magnética nuclear

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Avaliação físico-química e sensorial de fermentado de acerola

Fruit processing for beverage production purposes is a way of adding value to the raw material and of raising the farmer s income by increasing the demand. Thus the objective of this work was the production of fermented West Indian cherry beverages and their physicochemical and sensory evaluation. The beverages were produced based on the Brazilian legislation for fermented fruit beverages and wine. The fermented beverages were produced from West Indian cherry pulp (pulper) and juice (press) and sweetened with sugar to obtain three types of beverage: dry, semidry and sweet. The beverages were submitted to the following physicochemical analyses: pH, alcohol, reducing sugars, total reducing sugars, total acidity, volatile acidity, fixed acidity, dry extract, reduced dry extract, alcohol to reduced dry extract ratio, free sulphur dioxide, total sulphur dioxide and turbidity. In the sensory analysis, the beverages were assessed using a 9-point hedonic scale, evaluating the attributes of appearance, odour, flavour and overall assessment. The chemical and sensory results were submitted to an analysis of variance and the means compared using Tukey s test (5%). Both the raw materials (pulp and juice) and the different sugar concentrations (dry, semidry and sweet) interfered in the sensory and physicochemical parameters of the fermented West Indian cherry beverages, the tasters showing preference for the sweetened beverages.

Metaloproteinases de matriz 2 e 9 no líquido cefalorraquidiano e soro de cães naturalmente infectados pelo vírus da cinomose

Pós-graduação em Medicina Veterinária - FCAV

Parâmetros indicativos para qualidade da água em nascentes com diferentes coberturas de terra e conservação da vegetação ciliar

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Predição de sítios de ligação para a cisplatina e transplatina baseada em ligações de hidrogênio

Pós-graduação em Biofísica Molecular - IBILCE

Production, composition and processing of milk from ewes fed soybean seeds

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

Rendimento e qualidade do queijo tipo Minas Frescal de cabras alimentadas com raspa de mandioca e alfalfa

Pós-graduação em Zootecnia - FMVZ

Avaliação ambiental, caracterização da qualidade de água e transporte de sedimentos da bacia hidrográfica do Ribeirão Monjolo Grande (SP)

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

Utilização dos parâmetros físico-químicos e redes neurais artificiais na identificação dos méis de abelhas (Apis mellifera L.) produzidos no verão e inverno na microrregião de Campos de Jordão, São Paulo

The objective of this work was to typify, through physicochemical parameters, honey from Campos do Jordão’s microrregion, and verify how samples are grouped in accordance with the climatic production seasonality (summer and winter). It were assessed 30 samples of honey from beekeepers located in the cities of Monteiro Lobato, Campos do Jordão, Santo Antonio do Pinhal e São Bento do Sapucaí-SP, regarding both periods of honey production (November to February; July to September, during 2007 and 2008; n = 30). Samples were submitted to physicochemical analysis of total acidity, pH, humidity, water activity, density, aminoacids, ashes, color and electrical conductivity, identifying physicochemical standards of honey samples from both periods of production. Next, we carried out a cluster analysis of data using k-means algorithm, which grouped the samples into two classes (summer and winter). Thus, there was a supervised training of an Artificial Neural Network (ANN) using backpropagation algorithm. According to the analysis, the knowledge gained through the ANN classified the samples with 80% accuracy. It was observed that the ANNs have proved an effective tool to group samples of honey of the region of Campos do Jordao according to their physicochemical characteristics, depending on the different production periods.

Restructured products from tilapia industry by products: the effects of tapioca starch and washing cycles

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

Effect of C/N Ratio and Physicochemical Conditions on the production of Rhamnolipids by Pseudomonas Aeruginosa LBI

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Surfactant-cosurfactant interactions and process parameters involved in the formulation of stable and small droplet-sized benznidazole-loaded soybean O/W emulsions

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Effect of octenyl succinylated waxy starch as a fat mimetic on texture, microstructure and physicochemical properties of Minas fresh cheese

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)