Elnaz Ghasemtabar; Amir Hossein Goli; Ali Nasirpour
Abstract
Milk and fruit juice due to the high nutritional value, are widely consumed by society’s people. Pomegranate juice in spite of nutritional value has oldness in consumption and milk-pomegranate juice product could be desirable specifically for the consumers who are keen to experience new formulation ...
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Milk and fruit juice due to the high nutritional value, are widely consumed by society’s people. Pomegranate juice in spite of nutritional value has oldness in consumption and milk-pomegranate juice product could be desirable specifically for the consumers who are keen to experience new formulation and taste. Milk-juice beverage is a type of acidified milk drink that one of the main problems in production of the beverage is its low pH. In this study, in order to optimize the milk-pomegranate juice beverage formulation, three factors of milk, pomegranate juice and pectin content were selected. Formulation optimization and determination of optimum levels of each factor was carried out using response surface methodology (RSM) and to study the effect of storage time, optimum milk-pomegranate juice formulations were stored in refrigerator for 42 days and their physicochemical properties were evaluated. The results showed that the effect of milk and pectin content and factors interaction were significant on sedimentation and separation responses. The treatment of 50% pomegranate juice, 20% milk, 30% water and 0.63% pectin had the most nutritional value and can be recommended to be produced. The results revealed that production of milk –pomegranate juice beverage without any sedimentation and seperation by using pectin as stabilizer is possible and the product storage in the refrigerator had no negative effect on its nutritional value.
Emad Aydani; Mahdi Kashani-Nejad; Mohsen Mokhtarian; Hamid Bakhshabadi
Abstract
In this study, Response Surface Methodology (RSM) was used to optimize osmo-dehydration of orange slice. Effect of osmotic solution temperature in the range of 30 to 60 °C, immersion time from 0 to 300 min and sucrose concentration from 35 to 65 brix degree on water loss, solid gain, moisture content, ...
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In this study, Response Surface Methodology (RSM) was used to optimize osmo-dehydration of orange slice. Effect of osmotic solution temperature in the range of 30 to 60 °C, immersion time from 0 to 300 min and sucrose concentration from 35 to 65 brix degree on water loss, solid gain, moisture content, water loss to solid gain ratio and brix change were investigated by Central Composite Design (CCD). Applying response surface and contour plots optimum for osmotic dehydration were found to be at temperature of 30 °C, immersion time of 229.2 minute and sucrose concentration of 65%. At this optimum point, water loss, solid gain, WL/SG ratio, moisture content (dry base) and brix difference were found to be 30.316 (g/100 g initial sample), 13.51 (g/100 g initial sample), 2.45, 2.77 % and 15.79, respectively. The result of artificial neural network indicated that the perceptron neural network with one hidden layer is able to anticipate the dehydration characteristics. This network predicted solid gain and moisture content with 5 neuron per hidden layers with R2 values of 0.937 and 0.959, respectively and brix difference and water loss with 30 neuron per hidden layer with R2 values of 0.961 and 0.942, respectively.
