Economic Optimization of Drying Apple Slices by Response Surface Methodology

Document Type : Original Article

Authors

Department of Chemical Industries, Technical and Vocational University (TVU), Tehran, Iran.

Abstract

Apple is a valuable agricultural product that can be dried in the form of slices to create much added value in the economic landscape. In the present research, a laboratory hot-air channel dryer was employed for economic optimization of the drying process of red apple slices by means of response surface methodology (RSM). In the RSM technique, by designing experiments in which all independent parameters are changed simultaneously, the simultaneous effect of all parameters on the test output(s) was determined which provided a complete picture of how the parameters affect the test output for the researcher. For designing the experiment by means of RSM in this research, two parameters of temperature and velocity of air passing through the dryer channel were selected as independent variables and two parameters of drying time and energy consumption were chosen as target (response) variables for optimization. In order to design the experiments by RSM approach, the central composite design (CCD) method was used. Finally, by performing pre-designed experiments and using analysis of variance (ANOVA), the optimal drying conditions of red apple slices were determined as the passing air temperature equal to 70 °C and the passing air speed equal to 3 m/s, where the amount of energy consumption and the drying duration of validation test were 1.51 kWh (in comparison to predicted value of 1.36 kWh) and 46 minutes (in comparison to predicted value of 41 minutes), respectively.

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[1] Yaldýz, O., & Ertekýn, C. (2001). Thin layer solar drying of some vegetables. Drying Technology, 19(3-4), 583-597. https://doi.org/10.1081/DRT-100103936
[2] Mesbahi, G. R., Zomorodian, A., Dadashzadeh, M., & Farahnaki, A. (2007). A Comparative Study Of Raisin Production By Solar Dryer And Other Drying Methods. Iranian Food Science and Technology Reasearch, 2(2), 61-74. https:// www.sid.ir/en/Journal/ViewPaper.aspx?ID=162407
[3] Chin, S., Siew, E., & Soon, W. (2015). Drying Characteristics and Quality Evaluation of Kiwi Slices Under Hot Air Natural Convective Drying Method. International Food Research Journal, 22(6), 2188-2195. https://eprints.ncl.ac.uk/229101
[4] Timoumi, S., Mihoubi, D., & Zagrouba, F. (2007). Shrinkage, vitamin C degradation and aroma losses during infra-red drying of apple slices. LWT- Food Science and Technology, 40(9), 1648-1654. https://doi.org/10.1016/j.lwt.2006.11.008
[5] Krokida, M. K., & Marinos-Kouris, D. (2003). Rehydration kinetics of dehydrated products. Journal of Food Engineering, 57(1), 1-7. https://doi.org/10.1016/S0260-8774(02)00214-5
[6] Akpinar, E. K., Midilli, A., & Bicer, Y. (2005). Thermodynamic analysis of the apple drying process. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 219(1), 1-14. https://doi.org/10.1243/095440805x6991
[7] Ghasemkhani, H., Keyhani, A., Aghbashlo, M., Rafiee, S., & Mujumdar, A. (2015). Improving exergetic performance parameters of a rotating-tray air dryer via a simple heat exchanger. Applied Thermal Engineering, 94, 13-23. https://doi.org/10. 1016/j.applthermaleng.2015.10.114
[8] Beigi, M. (2018). Energy and exergy analyses for drying process of apple cubes in a hot air dryer. Journal of Food Science and Technology, 15(76), 1-11. https://fsct.modar es.ac.ir/article-7-11447-fa.html
[9] Khoshtaghaza, M.-H., Sadeghi, M., & Amirichayjan, R. (2007). Study of rough rice drying process in fixed and fluidized bed conditions. Journal of Agricultural Sciences and Natural Resources, 14(2), 127-137. https://www.sid.ir/en/journal/ ViewPaper.aspx?id=98978
[10] Esfandiari, K., Mahdavi, A. R., Ghoreyshi, A. A., & Jahanshahi, M. (2018). Optimizing parameters affecting synthetize of CuBTC using response surface methodology and development of AC@CuBTC composite for enhanced hydrogen uptake. International Journal of Hydrogen Energy, 43(13), 6654-6665. https://doi.org/10. 1016/j.ijhydene.2018.02.089
[11] Maccurin, T., & Reilly, J. (1940). Sclerotiorine, a chlorinated metabolic product of Penicillium sclerotiorum, van Beyma. Nature, 146(3697), 335-335. https://doi.org/ 10.1038/146335b0
[12] Jalili, F., Jafari, S. M., Emam-Djomeh, Z., Malekjani, N., & Farzaneh, V. (2018). Optimization of ultrasound-assisted extraction of oil from canola seeds with the use of response surface methodology. Food analytical methods, 11(2), 598-612. https:// doi.org/10.1007/s12161-017-1030-z
[13] Hammami, C., Floris, R., & Marin, M. (2001). Process-quality optimization of the vacuum freeze-drying of apple slices by the response method. International Journal of Food Science & Technology, 34(2), 145-160. https://doi.org/10.1046/j.1365-2621.1999.00247.x
[14] Han, Q.-H., Yin, L.-J., Li, S.-J., Yang, B.-N., & Ma, J.-W. (2010). Optimization of Process Parameters for Microwave Vacuum Drying of Apple Slices Using Response Surface Method. Drying Technology, 28(4), 523-532. https://doi.org/10.1080/0737 3931003618790
[15] Yuan, Y., Zhao, Z., Wang, L., Xu, Y., Chen, H., Kong, L., & Wang, D. (2022). Process optimization of CO2 high-pressure and low-temperature explosion puffing drying for apple chips using response surface methodology. Drying Technology, 40(1), 100-115. https://doi.org/10.1080/07373937.2020.1771361
[16] Rabbi, A., Nasouri, K., Bahrambeygi, H., Shoushtari, A. M., & Babaei, M. R. (2012). RSM and ANN approaches for modeling and optimizing of electrospun polyurethane nanofibers morphology. Fibers and Polymers, 13(8), 1007-1014. https://doi.org/10.1007/s12221-012-1007-x