Persian Pistachio Nut (Pistacia vera L.) Dehydration in Natural and Industrial Conditions
Authors: Hamid Tavakolipour, Mohsen Mokhtarian, Ahmad Kalbasi Ashtari
Abstract:
In this study, the effect of various drying methods (sun drying, shade drying and industrial drying) on final moisture content, shell splitting degree, shrinkage and color change were studied. Sun drying resulted higher degree of pistachio nuts shell splitting on pistachio nuts relative other drying methods. The ANOVA results showed that the different drying methods did not significantly effects on color change of dried pistachio nut. The results illustrated that pistachio nut dried by industrial drying had the lowest moisture content. After the end of drying process, initially, the experimental drying data were fitted with five famous drying models namely Newton, Page, Silva et al., Peleg and Henderson and Pabis. The results indicated that Peleg and Page models gave better results compared with other models to monitor the moisture ratio’s pistachio nut in industrial drying and open sun (or shade drying) methods, respectively.
Keywords: Industrial drying, Modeling, Pistachio, quality properties, Traditional drying.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1111959
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1338References:
[1] FAO. FaoStat Database. Available from http://faostat.fao.org, 2012.
[2] J.G. Woodroof, Tree nuts-production, processing products (vol. II). Westport, Connecticut: The AVI Publishing Company, Inc, 1967.
[3] H. Tavakolipour, “Postharvest operations of pistachio nuts,” J. Food Sci Technol, vol. 52, 2015, pp. 1124-1130.
[4] A. Kouchakzadeh, “The effect of acoustic and solar energy on drying process of pistachios,” J. Energ Convers Manage, vol. 67, 2013, pp. 351-356.
[5] M. Kashaninejad, A. Mortazavi, A. Safekordi, and L. G. Tabil, “Thin-layer drying characteristics and modeling of pistachio nuts,” J. Food Eng, vol. 78, 2007, 98-108.
[6] A. Midilli, and H. Kucuk, “Mathematical modeling of thin layer drying of pistachio by using solar energy,” J Energ Convers Manage, vol. 44, 2003, pp. 1111-1122.
[7] AOAC. Official methods of analysis. Association of Official Analytical Chemists, 17th edn. AOAC Press; Arlington, 1990.
[8] S. M. A. Razavi, B. Emadzadeh, A. Rafe, and A. Mohammad Amini, “The physical properties of pistachio nut and its kernel as a function of moisture content and variety: Part I. Geometrical properties,” J. Food Eng, vol. 81, 2007, pp. 209-217.
[9] K. Sacilik, and A. K. Elicin, “The thin layer drying characteristics of organic apple slices,” J. Food Eng, vol. 73, 2006, pp. 281-289.
[10] L. Fernández, C. Castillero, and J. M. Aguilera, “An application of image analysis to dehydration of apple discs.” J. Food Eng., vol. 67, 2005, pp. 185-193.
[11] H. Tavakolipour, and M. Mokhtarian, “Neural network approaches for prediction of pistachio drying kinetics,” Int J. Food Eng, vol. 8(3), Article 42, 2012.
[12] M. Kashaninejad, A. Mortazavi, A. Safekordi, and L. G. Tabil, “Some physical properties of Pistachio (Pistacia vera L.) nut and its kernel,” J. Food Eng, vol. 72, 2006, pp. 30-38.
[13] T. Kamangar, and H. Farsam, “Composition of pistachio kernels of various Iranian origins,” J. Food Sci., vol. 42, 1977, pp. 1135-1136.
[14] M. Kashaninejad, L. G. Tabil, A. Mortazavi, and A. Safe Kordi, “Effect of drying methods on quality of pistachio nuts,” Drying Technol, vol. 21, 2003, pp. 821-838.
[15] R. A. Chayjan, and M. Esna-Ashari, “Isosteric heat and entropy modeling of pistachio cultivars using neural network approach,” J. Food Proc Preserv, vol. 35, 2011, pp. 524-532.
[16] H. Tavakolipour, “Drying Kinetics of Pistachio Nuts (Pistacia vera L.),” World Applied Sci J, vol. 12, 2011, pp. 1639-1646.
[17] A. Kouchaczadeh, and S. Shafeei, “Modeling of microwave-convective drying of pistachios,” Energ Convers Manage, vol. 51, pp. 2012-2015.
[18] M. Mokhtarian, F. Koushki, H. Bakhshabadi, B. Askari, A. Daraei Garmakhany, and S.H. Rashidzadeh, “Feasibility investigation of using artificial neural network in process monitoring of pumpkin air drying,” Qual Assur Saf Crops Food, vol. 6, 2014, pp. 191-199..