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In this research, the modeling with Artificial neural network and Multilayer – Perceptron were used in order to evaluate the zeolite and citric acid's usage in reducing of Aflatoxin's production in stale dry breads across the Mashhad. Since, the stale breads are the main sources of the livestocks's feeding, and because of the availability of proper environmental conditions for growing molds, these breads are severely contaminated by mycotoxin and especially Aflatoxin, and this make some anxieties about the human being and animal's life. So, the foodstuff's contamination by mycotoxin, should be controlled accurately through the food chain. The results have shown that modelling with ANN is a suitable method especially in food industries, and also the addition of zeolite as compared with Citric Acid, cause the َAflatoxin to reduce more. In this manner, the interaction of zeolite and citric acid caused the Aflatoxin to decrease more, than when zeolite or citric acid are being used alone. Based on these results, Artificial neural network model for zeolite with one hidden layer, hyperbolic tangent function as the transfer function, Levenberg-Marquardt method as the learning rule, 3 hidden neurons, %60 for training subset and %20 for each of validation and test subsets with the correlation coefficient 0/973 had the best overfiting. The modeling results indicate that there is an excellent compatibility between the experimental and predicted values of Aflatoxins.  

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The aim of this study was to investigat the effect of modifierd starch and maltodextrin as a wall material on the microencapsulation of ginger oil in green tea extract by spray drying method. Ginger oil was encapsulated with modiferd starch, maltodextrin, and mixture of these by ratio(2:1، 1:1، 1:2) .The mean droplet size  of emulsion and Encapsulation efficiency, oil surface, particle size and moisture of microcapsul was evaluated. The results showed that by reducing the Gum Arabic content and increasing Maltodextrin content, the emulsion  particle  size became larger. Encapsulation efficiency  increased and oil surface decreased by the decreas in particle  size  of emulsion  and powder. And the results indicated the lack of effect of rim material on the amount of moisture. A 2:1 and 1:1 blend of Gum Arabic:Maltodextrin offered a protection, better than gum Arabic and maltodextrin .

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Identify and cultivate new oil seeds is an important step in the supply of required oil in our country. The aim of the present research was to evaluate the composition of physicochemical properties, fatty acids structure and the oxidative stability of Dill (DS) and Coriander (CS) seed oils. To produce oil, the seeds were mixed with n-hexane solvent in the ratio of 1:4 w/v. The physicochemical properties of DS and CS oils includeding  acid value, peroxide value, iodine value, refractive index, wax compound content, viscosity, specific gravity, oxidative stability and fatty acids structure were examined. According to the results, the acid value (11.56 mg/g), iodine value (104 g/100g of oil), wax compound content (34.25%) and specific gravity (0.92 kg/m³) of DS oil was higher than CS oil. Also peroxide value (3.07 meq/kg), viscosity (20.94 cp), refractive index (1.55) and oxidative stability (16.3 h) of CS oil was higher than DS oil. DS oil contained 8.51% of saturated fatty acids that mainly composed of palmitic acid and stearic acid which is lower than CS oil (8.83%). DS oil contained 91.35% unsaturated fatty acids. The ratios of polyunsaturated fatty acids to mono–unsaturated fatty acids of DS and CS oils were 0.23 for both oils. Also the ratio of polyunsaturated fatty acids to saturated fatty acids of DS and CS oils were 2.07 and 1.94, respectively.

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The ultrafiltration process as one of the membrane processes based on pressure can replace with the conventional method of liming-carbonation as a new method in sugar industry. In this research, reduction of hardness, increasing the non-sugar rejection components and improving the purity of permeate flow were modeled during the treatment of raw beet syrup with ultrafiltration by artificial neural network. The ultrafiltration process was carried out at three temperatures of 30, 40 and 50 ° C, three pressures in the membrane 1, 2 and 3 times in eight intervals of equal time of 1 to 60 minutes. The best model for reduction of hardness was obtained with a hidden layer, the number of 13 neurons, the tangent transfer function, the momentum learning law, and the percentage of data 40, 35, and 25 for training, evaluation, and test, respectively. The variation of non-sugar rejection compounds with a hidden layer, 15 neurons, tangent transfer function, Levenberg learning law, and assigning 50, 5 and 45 percent of the data to training, evaluating and testing with the least error and the highest correlation coefficient during modeling. Improvement of the purity of permeate flow during ultrafiltration with a hidden layer, 18 neurons, sigmoid transfer function, Levenberg learning law and data percentages 60, 15 and 25 for training, evaluation, and testing created the best network. Also, the highest correlation coefficient between laboratory data and predicted values with the model was obtained for hardness variation, non-sugar rejection compounds and purity, 0.892, 0.985 and 0.985 respectively.

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Edible films, which in addition to creating beneficial effects by carrying antimicrobial compounds, antioxidants, etc., have biodegradable properties, have attracted the attention of many researchers. In this study, the gum obtained from the inner pod of bean with two concentrations of glycerol (40 and 60%) and three concentration of oregano essential (1, 2 and 3%) oil was used to produce biofilms. After studying the physicochemical and mechanical properties of the resulting films, the best treatment was combined with titanium oxide nanoparticles in two concentrations of 1 and 2% and its antimicrobial properties were also investigated. The results showed that increasing the essential oil raised the film thickness, while high concentrations of essential oil decreased the moisture content of the films. Although the addition of essential oil reduced the solubility of films compared with control sample, but in the treatments with essential oil, increasing the essential oil reduced the solubility of the film. Increasing the concentration of essential oil also increased turbidity and free radical DPPH activity. High concentrations of essential oil decreased the lightness of the films but increased the yellowing and redness compared to the control sample. Due to the interaction of the oil in the essential oil with the gum, the cohesion of the polymer network decreased and consequently, the tensile strength and the elongation factor at the break point decreased. Antimicrobial effect of films with 3% essential oil and 2% titanium oxide had the highest inhibitory area in the disk diffusion test with other samples on Staphylococcus Aureus, Escherichia coli, Salmonella Typhoid, Bacillus Cereus and pseudomonas Aeruginosa significantly (p<0.05)

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The demand of low-fat and reduced-fat product has greatly increased due to consumer’s awareness of the relationship between diet and health. This has led the dairy food industry to continuously work on formulating and developing “functional dairy foods” with good textural qualities. In this research, the influence of different levels of Alyssum homolocarpum seed gum (AHSG) (0-1%) and Flaxseed gum (FG) (0-1%) on the physicochemical, sensory and microbial properties of low-fat synbiotic cream cheese during 45 days of storage were evaluated. The results showed that AHSG and FG increase caused significant increment in moisture content, hardness, springiness, adhesiveness and spreadability of samples. Evaluation of the organoleptic properties showed that addition of AHSG and FG caused a double impact on the sensory properties, and sensory parameters improved up to medium concentrations of AHSG and FG. Results showed that during the storage, acidity increased while pH, hardness, springiness, adhesiveness and spreadability were decreased. Based on the probiotic count test, only optimized sample had the amount of probiotic bacteria in the standard range at the end of storage time. The findings of this study showed that incorporation of AHSG and FG into the formulation of low-fat synbiotic cream cheese could be an effective strategy to overcome the problems associated with fat reduction.

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Many studies have been performed on the effect of viscosity on the qualitative characteristics of hot crystallization in the cooking stage of beet factories. In this study, we tried to investigate the effect of newer viscosity reducing agents based on sucrose esters on the quality of cold crystallization in these units. For this purpose, a substance called cisterna which is a sucrose ester as a viscosity reducing agent in four levels  0 , 33, 66 and 100 ppm were used in weak effluent from centrifuge cooking of a beet factory at 55 ° C and its effect on viscosity, crystallization efficiency, color of extracted sugar solution and purity percentage of effluent from centrifuge sample was investigated. The results showed that the addition of this substance reduced the viscosity. Crystallization efficiency increased to 66 ppm and then decreased at higher concentrations. The color of the extracted sugar solution and the purity percentage of the effluent produced by centrifugation and separation of the solid phase from the liquid decreased to this concentration of surfactant and at higher concentrations these parameters increased. In general, the use of these materials in cold crystallization of sugar factories can increase the efficiency and reduce the waste of beet factories