Abbaszadeh, A., Motevali, A., Khoshtaghaza, M., & Kazemi, M. (2011). Evaluation of thin-layer drying models and neural network for describing drying kinetics of Lasagnas angustifolia L. International Food Research Journal, 18(4), 1321.
Abdolshahi, A., Heydari Majd, M., Abdollahi, M., Fatemizadeh, S., & Monjazeb Marvdashti, L. (2020). Edible Film Based on Lallemantia peltata L. Seed Gum: Development and Characterization.
Journal of Chemical Health Risks, in Press. doi:
https://doi.org/10.22034/jchr.2020.1896596.1118
Aghajani, N., Kashaninejad, M., Dehghani, A. A., & Daraei Garmakhany, A. (2012). Comparison between artificial neural networks and mathematical models for moisture ratio estimation in two varieties of green malt.
Quality Assurance and Safety of Crops & Foods, 4(2), 93-101. doi:
https://doi.org/10.1111/j.1757-837X.2012.00125.x
Ajani, C., Curcio, S., Dejchanchaiwong, R., & Tekasakul, P. (2019). Influence of shrinkage during natural rubber sheet drying: Numerical modeling of heat and mass transfer.
Applied Thermal Engineering, 149, 798-806. doi:
https://doi.org/10.1016/j.applthermaleng.2018.12.054
Aktaş, M., Şevik, S., Özdemir, M. B., & Gönen, E. (2015). Performance analysis and modeling of a closed-loop heat pump dryer for bay leaves using artificial neural network.
Applied Thermal Engineering, 87,714-723. doi:
https://doi.org/10.1016/j.applthermaleng.2015.05.049
AOAC. (1990). Official methods of analysis. Washington: Association of Official Analytical Chemists.
Badaoui, O., Hanini, S., Djebli, A., Haddad, B., & Benhamou, A. (2019). Experimental and modelling study of tomato pomace waste drying in a new solar greenhouse: Evaluation of new drying models.
Renewable energy, 133, 144-155. doi:
https://doi.org/10.1016/j.renene.2018.10.020
Demiray, E., Tulek, Y., & Yilmaz, Y. (2013). Degradation kinetics of lycopene, β-carotene and ascorbic acid in tomatoes during hot air drying.
LWT-Food Science and Technology, 50(1), 172-176. doi:
https://doi.org/10.1016/j.lwt.2012.06.001
Diamante, L. M., Ihns, R., Savage, G. P., & Vanhanen, L. (2010). A new mathematical model for thin layer drying of fruits.
International journal of food science & technology, 4(9), 1956-1962. doi:
https://doi.org/10.1111/j.1365-2621.2010.02345.x
Guiné, R. P., Pinho, S., & Barroca, M. J. (2011). Study of the convective drying of pumpkin (Cucurbita maxima).
Food and bioproducts processing, 89(4), 422-428. doi:
https://doi.org/10.1016/j.fbp.2010.09.001
Heydari-Majd, M., Ghanbarzadeh, B., Shahidi-Noghabi, M., Abdolshahi, A., Dahmardeh, S., & Mohammadi, M. M. (2020). Poly (lactic acid)-based bionanocomposites: effects of ZnO nanoparticles and essential oils on physicochemical properties.
Polymer Bulletin, 1-23. doi:
https://doi.org/10.1007/s00289-020-03490-z
Kashiri, M., Daraei Garmakhany, A., & Dehghani, A. A. (2012). Modelling of sorghum soaking using artificial neural networks (MLP).
Quality Assurance and Safety of Crops & Foods, 4(4), 179-184. doi:
https://doi.org/10.1111/j.1757-837X.2012.00184.x
Kerdpiboon, S., Kerr, W. L., & Devahastin, S. (2006). Neural network prediction of physical property changes of dried carrot as a function of fractal dimension and moisture content.
Food research international, 39(10), 1110-1118. doi:
https://doi.org/10.1016/j.foodres.2006.07.019
Mewa, E. A., Okoth, M. W., Kunyanga, C. N., & Rugiri, M. N. (2019). Experimental evaluation of beef drying kinetics in a solar tunnel dryer.
Renewable energy, 139, 235-241. doi:
https://doi.org/10.1016/j.renene.2019.02.067
Mokhtarian, M., Heydari Majd, M., Koushki, F., Bakhshabadi, H., Daraei Garmakhany, A., & Rashidzadeh, S. (2014a). Optimisation of pumpkin mass transfer kinetic during osmotic dehydration using artificial neural network and response surface methodology modelling.
Quality Assurance and Safety of Crops & Foods, 6(2), 201-214. doi:
https://doi.org/10.3920/QAS2012.0121
Mokhtarian, M., Koushki, F., Bakhshabadi, H., Askari, B., Garmakhany, A. D., & Rashidzadeh, S. (2014b). Feasibility investigation of using artificial neural network in process monitoring of pumpkin air drying.
Quality Assurance and Safety of Crops & Foods, 6(2), 191-199. doi:
https://doi.org/10.3920/QAS2012.0119
Mousavi, M., & Javan, S. (2009). Modeling and simulation of apple drying, using artificial neural network and neuro-taguchi’s method. Journal of Agricultural Science and Technology (JAST), 11, 559-571.
Mozumder, N., Rahman, M., Kamal, M., Mustafa, A., & Rahman, M. (2012). Effects of pre-drying chemical treatments on quality of cabinet dried tomato powder. Journal of Environmental Science and Natural Resources, 5(1), 253-265.
Pu, Y.-Y., & Sun, D.-W. (2017). Combined hot-air and microwave-vacuum drying for improving drying uniformity of mango slices based on hyperspectral imaging visualisation of moisture content distribution.
Biosystems Engineering, 156, 108-119. doi:
https://doi.org/10.1016/j.biosystemseng.2017.01.006
Salarbashi, D., Tafaghodi, M., & Heydari-Majd, M. (2020). Fabrication of curcumin-loaded soluble soy bean polysaccharide/TiO2 bio-nanocomposite for improved antimicrobial activity.
Nanomedicine Journal, 7(4), 291-298. doi:
https://doi.org/10.22038/NMJ.2020.07.00005
Shakouri, S., Ziaolhagh, H. R., Sharifi-Rad, J., Heydari-Majd, M., Tajali, R., Nezarat, S., & Da Silva, J. A. T. (2015). The effect of packaging material and storage period on microwave-dried potato (Solanum tuberosum L.) cubes.
Journal of food science and technology, 52(6), 3899-3910. doi:
https://doi.org/10.1007/s13197-014-1464-x
Singh, N. J. (2011). Neural network approaches for prediction of drying kinetics during drying of sweet potato. Agricultural Engineering International: CIGR Journal, 13(1).
Taheri-Garavand, A., Rafiee, S., & Keyhani, A. (2011). Mathematical modeling of thin layer drying kinetics of tomato influence of air dryer conditions. Int Trans. J. Eng. Manage. Sci. Tech, 2, 147-160.
Tavakolipour, H., & Mokhtarian, M. (2012). Neural network approaches for prediction of pistachio drying kinetics.
International Journal of Food Engineering, 8(3). doi:
https://doi.org/10.1515/1556-3758.2481
Zarein, M., Samadi, S. H., & Ghobadian, B. (2015). Investigation of microwave dryer effect on energy efficiency during drying of apple slices.
Journal of the Saudi Society of Agricultural Sciences, 14(1), 41-47. doi:
https://doi.org/10.1016/j.jssas.2013.06.002
)
ارسال نظر در مورد این مقاله