Correlation between process cheese meltability determined by sensory analysis, computer vision method and Olson and Price test

The meltabilities of 14 process cheese samples were determined at 2 and 4 weeks after manufacture using sensory analysis, a computer vision method, and the Olson and Price test. Sensory analysis meltability correlated with both computer vision meltability (R-2 = 0.71, P < 0.001) and Olson and Price meltability (R-2 = 0.69, P < 0.001). There was a marked lack of correlation between the computer vision method and the Olson and Price test. This study showed that the Olson and Price test gave greater repeatability than the computer vision method. Results showed process cheese meltability decreased with increasing inorganic salt content and with lower moisture/fat ratios. There was very little evidence in this study to show that process cheese meltability changed between 2 and 4 weeks after manufacture..

Prediction of processed cheese instrumental texture and meltability by mid-infrared spectroscopy coupled with chemometric tools

The objective of this study was to determine the potential of mid-infrared spectroscopy coupled with multidimensional statistical analysis for the prediction of processed cheese instrumental texture and meltability attributes. Processed cheeses (n = 32) of varying composition were manufactured in a pilot plant. Following two and four weeks storage at 4 degrees C samples were analysed using texture profile analysis, two meltability tests (computer vision, Olson and Price) and mid-infrared spectroscopy (4000-640 cm(-1)). Partial least squares regression was used to develop predictive models for all measured attributes. Five attributes were successfully modelled with varying degrees of accuracy. The computer vision meltability model allowed for discrimination between high and low melt values (R-2 = 0.64). The hardness and springiness models gave approximate quantitative results (R-2 = 0.77) and the cohesiveness (R-2 = 0.81) and Olson and Price meltability (R-2 = 0.88) models gave good prediction results. (c) 2006 Elsevier Ltd. All rights reserved..

Composition, functional properties and sensory characteristics of Mozzarella cheese manufactured from different somatic cell counts in milk

In the present study, composition, functional properties and sensory characteristics of Mozzarella cheese produced from milk with somatic cell counts (SCC) at low (<200,000 cells/mL), intermediate (≈400,000 cells/mL) and high (>800,000 cells/mL) levels were investigated. Three batches of cheese were produced for each SCC category. The cheeses were vacuum packed in plastic bags and analysed after 2, 9, 16, 23 and 30 days of storage at 4ºC. SCC level did not affect the moisture, fat, total protein and ash content, mesophilic and psychrotrophic bacteria, and sensory parameters of Mozzarella cheese. However, meltability increased in cheese manufactured from high SCC milk. Results indicated that raw milk used to produce Mozzarella cheese should not contain high SCC (>800,000 cells/mL) in order to avoid changes in the functional properties of the Mozzarella cheese.

Efeito de enzimas proteolíticas, de origem vegetal e microbiana, e da temperatura de maturação nas características de queijo Prato com teor reduzido de gordura

Pós-graduação em Engenharia e Ciência de Alimentos - IBILCE

Queijo Prato com teor reduzido de gordura adicionado de enzima proteolítica: características físicas e sensoriais

The Prato cheese is the second most consumed cheese in Brazil. It is produced by milk enzymatic coagulation, and maturated for at least 25 days; it is classified as fatty cheese and of medium moisture. Due to the concern to health, the cheeses consumers have been seeking for products with low fat contents; however fat is essential for providing desirable sensory and physiologic characteristics, such as flavor, softness and texture to cheeses. Alterations on the technological processing of low fat cheeses have been made seeking for improved products, and the use of proteolytic enzymes has been a significant strategy. The meltability, color and sensory characteristics are fundamental quality indicators of the final products. This study reports the findings from the analyses on the physical and sensory characteristics of low fat Prato cheese with addition of proteolytic enzyme – fastuosain, that is extracted from unripe gravata fruit. The addition of fastuosain improved the quality of the product, as this additive neither affected the meltability, nor produced bitterness, which is a common unpleasant taste in low fat cheeses.

Avaliação da composição química, proteólise e propriedades funcionais do queijo mussarela comercial com teor reduzido de gordura

Chemical composition, proteolysis and functional properties of commercial Mozzarella cheese with reduced fat content found in the market of Londrina – PR were evaluated. The cheeses were analyzed for chemical composition, meltability, free oil formation, and the indexes of extension and depth of proteolysis during 30, 45 and 60 days of storage at 5°C. The samples showed no significant difference in chemical composition. The fat content of all samples complied with current legislation regarding the minimum percentage (25%) of fat reduction. Among the three brands tested, the cheeses of brand C showed the highest depth index of proteolysis. In all chesses, the meltability has increased during storage period. The, the brand C had significantly higher (p <0.05) free oil content when compared to other brands tested.