جستجوی مقالات مرتبط با کلیدواژه « Texture properties » در نشریات گروه « مهندسی شیمی، نفت و پلیمر »

In this research, the ability of the integrated non-destructive system including ultrasound, electrical resistance measurements and colorimetric assays to predict the textural properties (hardness, brittleness, viscosity, elasticity, guminess and chewiness) of trout fillets were evaluated. For this purpose, fillets were stored for 12 days at refrigerator temperature and then examined at interval times. At the same time physical, mechanical, chemical and sensory tests were performed on the fillets. The performance of neural network and support vector machine methods for predicting and modeling tissue properties were compared. In each model, physical properties were considered as inputs and textural properties as outputs and modeling was performed. The results showed that in the prediction of hardness, fragility and elasticity of the support vector machine and in the viscous, resin and chewability indices, the neural network method had more capability to model the texture properties, so that the root mean square error (RMSE) Hardness, fragility, viscosity, elasticity, gum and chewability indices were equal to 0.144, 0.025, 0.015, 0.015, 0.044 and 0.171 respectively and their correlation coefficients were equal 0.993, 0.985, 0.992, 0.961, 0.995 and 0.995. Therefore, the proposed non-destructive system in combination with artificial intelligence methods showed promises as a non-destructive and efficient tool for monitoring and quality control during trout fillet storage.

Lack of protein in developing countries specially has gained importance, recently. In recent years, due to the increased need for protein food, protein is used as a valuable food source ; so, Use of different kinds of sprouted beans in food formulation is one of the most important processing operations. In this paper, the effect of variables under investigation in the extrusion process,including temperature (120-170 degree centigrade) and screw-rotation speed (120-200 rpm), were investigated on some of the snacks features. Samples contained 16% moisture content and 20% germinated mung bean to corn grain. Features under study include expansion, porosity, hardness, and color measurement components (luminance, redness, yellowness index). The obtained results indicated that by increasing temperature and screw rotation the light, expansion, firmness, and porosity will increase, either. According to optimization results, to produce a favorable product by maximum expansion rate of 5.395, maximum porosity of 0.916, minimum texture analysis of 2.791, luminance index of 66.245, redness of 2.190 and yellowness of 24.632 a process should be established at 120 degree centigrade extrusion and 200 r/m of screw-rotation. The extruded product based on sprouted corn and mung benefits from physicochemical properties, which could supersede the current expanded stack in the market, especially for children.