Mohsen Mokhtarian; Hamid Tavakolipour; Ahmad Kalbasi-Ashtari; Fatemeh Koushki
Volume 4, Issue 4 , December 2021, , Pages 7-12
Abstract
This research aimed to investigate the process of pistachios solar drying in two different conditions of the designed dryer (recycle and without recycle modes). As well, in this study, the drying kinetics curves of pistachio were drawn and its dewatering behavior was monitored by empirical ...
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This research aimed to investigate the process of pistachios solar drying in two different conditions of the designed dryer (recycle and without recycle modes). As well, in this study, the drying kinetics curves of pistachio were drawn and its dewatering behavior was monitored by empirical models. Furthermore, the mass transfer rate (MTR) of the examined product during drying in two noted modes was determined by Fick’s 2nd law. Maximum, minimum, and average values of collector output air temperature were recorded 54.20, 32.30, and 42.99oC & 47.10, 30.70, and 40.03oC in air recycle and without air recycle modes, respectively. The results dedicated that, 18.75 % saving in drying time was obtained for air recycle mode compared with without air recycle mode. Also, the obtained data revealed that the drying rate of pistachio nut under recycle mode was higher than that of pistachio nut under without recycle mode, especially during the first hours of drying. Moreover, the empirical modeling showed that the Parabolic and Diamante et al. models were found to be the most suitable for describing drying curve of the thin layer solar drying process of whole pistachio nut under recycle and without recycle modes, respectively. In addition, the highest value of effective moisture diffusivity was observed in solar dried pistachio nut under air recycle mode with the Deff value of 2.26×10-6 m2/h (R2=0.9265).
Reza Kazempoor; Arman Ghorbanzadeh; Mohsen Mokhtarian; Saeed Rasoulinezhad
Volume 4, Issue 3 , September 2021, , Pages 1-6
Abstract
Today, food enrichment is one of the most widely used methods in benefiting the food processing industry. The effects of four different dietary groups [basic diet (I), basic diet+flaxseed oil (II), basic diet+non-absorbable fiber+flaxseed oil (III)& basic diet+non-absorbable ...
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Today, food enrichment is one of the most widely used methods in benefiting the food processing industry. The effects of four different dietary groups [basic diet (I), basic diet+flaxseed oil (II), basic diet+non-absorbable fiber+flaxseed oil (III)& basic diet+non-absorbable fiber+fish oil (IV)] were studied on the development of eggs with high content of long-chain omega-3 fatty acids &vitamin D3. To achieve this goal, the egg yolk oil was extracted by the cold extraction method and analyzed by gas chromatography. A total of 24 fatty acid compounds were identified in egg yolk oil, which ~48-52% of contained monounsaturated fatty acids (mainly oleic acid). The diet modifications significantly (p<0.05) increased the total content of egg yolk omega-3 fatty acids, and the highest value was observed in the diet (III) (84.2% increase compared to the control). The highest elevations were observed in ALA (3.49%), DPA (0.24%), and DHA (1.21%) fatty acids. Also, the ratio of ω-6/ω-3 fatty acids was ~18.36% in the control group (I), while in the diets II, III, and IV, the ratios decreased to ~3.79 (~80%), ~3.16 (~83%), and ~6.09 (~67%), respectively. Overall, the results indicated that diet (III) & (IV) were the most effective to increase the content of omega-3 fatty acids and Vit-D3 in egg yolk, respectively.
Mohsen Mokhtarian; Hamid Tavakolipour; Hassan Hamedi; Amir Daraei Garmakhany
Volume 3, Issue 4 , December 2020, , Pages 7-13
Abstract
The physical properties of almond kernel are necessary for the proper design of equipment for transporting, drying, processing, sorting, grading, and storage this crop. In this study, different models of ANNs with different activation functions were used to forecast surface area, volume, mass, and kernel ...
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The physical properties of almond kernel are necessary for the proper design of equipment for transporting, drying, processing, sorting, grading, and storage this crop. In this study, different models of ANNs with different activation functions were used to forecast surface area, volume, mass, and kernel density of almond. The results showed that multilayer perceptron network with tanh-tanh activation function as a goodness activation function can be estimated surface area, volume, mass, and kernel density with R2 value 0.983, 0.986, 0.981, and 0.982, respectively. Furthermore, the physical properties were fitted by regression relationships, the result showed linear regression method can be predicted surface area, volume, mass and kernel density with R2 value 0.979, 0.961, 0.945, and 0.791, respectively. Generally, the result showed neural network model had high ability to forecast the physical properties of almond than the linear regression method.
