Simulation approach for optimal design of vacuum cooling on broccoli by simulated annealing technique
Keywords:
broccoli, vacuum cooling, simulated annealing, optimizationAbstract
Water-spraying is regarded as an effective method to reduce the weight loss of product during vacuum cooling process. This study aimed to investigate the effect of vacuum cooling factors on the weight loss of postharvest broccoli, and attempted to optimize the treatment conditions by simulated annealing (SA) technique. An algorithm based on simulated annealing meta-heuristic technique was developed to identify the optimum condition for vacuum cooling treatment of broccoli. Results demonstrated that the SA algorithm could adjust well with the simulation of the broccoli cooling process. The best condition was at 200 Pa of pressure, 274 g broccoli, 6% of water volume and 40 min processing time. Under this condition, a product with only 0.35% of weight loss and 1.48°C final temperature was obtained. The developed method may help to effectively control the weight loss during vacuum cooling process and reducing the economic loss. Keywords: broccoli, vacuum cooling, simulated annealing, optimization DOI: 10.3965/j.ijabe.20140705.012 Citation: Ding T, Alves W A L, Araújo S A, Santana J C C, Ling J G, Chen J C, Liu D H. Simulation approach for optimal design of vacuum cooling on broccoli by simulated annealing technique. Int J Agric & Biol Eng, 2014; 7(5): 111-115.References
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[2] Food and Agricultural Organization of United Nations: Economic and Social Department: The Statistical Division. 2008. Available at http://faostat.fao.org/site/567/Desktop Default.aspx?PageID=567#ancor. Accessed on [2012-05-06].
[3] Li Z G, Gao X. The effects of storage temperatures on the qualities of broccoli. China Vegetables, 2000; 4: 6-9.
[4] Zhang Z H, Sun D W. Effect of cooling methods on the cooling efficiencies and qualities of cooked broccoli and carrot slices. Journal of Food Engineering, 2006; 77: 320–326.
[5] Fan X T, Mattheis J P. Yellowing of broccoli in storage is reduced by 1-Methylcyclopropene. Hort Science, 2000; 35: 885–887.
[6] DeEll J R, Toivenen P M A, Vigneault C. Postharvest dips to control black speck and scar discoloration in stored broccoli. Journal of Food Quality, 2001; 24: 575-584.
[7] Zhuang R F, Hu W Y, Lin G R, Cai L X. Effects of irradiation on preservation and physiological-biochemical index of brassica oleracea. Subtropical Plant Science, 2002; 31: 16–18.
[8] Tian M S. Color, ethylene production, respiration and compositional changes in broccoli dipped in hot water. Journal of the American Society for Horticultural Science, 1997; 122: 112–116.
[9] Sun D W, Zheng L Y. Vacuum cooling technology for the agri-food industry: Past, present and future. Journal of Food Engineering, 2006; 77: 203–214.
[10] Brosnan T, Sun D W. Precooling techniques and applications for horticultural products- a review. International Journal of Refrigeration, 2001; 24: 154–170.
[11] Haas E, Gur G. Factors affecting the cooling rate of lettuce in vacuum cooling installations. International Journal of Refrigeration, 1987; 10: 82–86.
[12] Chaves A A, Biajoli F L, Mine O M, Souza M J F. Hybrid metaheuristics for solving the prize collecting traveling salesman problem. Produção, 2007; 17: 263–272.
[13] Curvelo Santana J C, Araújo S A, Librantz A F H, Tambourgi E B. Optimization of corn drying by use of a genetic algorithm. Dry Technology, 2010; 28: 1236-1244.
[14] Goldberg D E. Genetic algorithms in search, optimization, and machine learning. Massachusetts: Addison-Wesley Pub, 1989.
[15] Thyagarajan T, Shanmugamm J, Ponnavaikko M, Panda R C. Hybrid intelligent control scheme for air heating system using fuzzy logic and genetic algorithm. Dry Technology, 2000; 18: 165–184.
[16] Zhang C, Lu Y. The improved ant colony algorithm based on immunity system genetic algorithm and application. In: IEEE International Conference Cognitive Informatics, 2006; 2: 726–731.
[17] Kirkpatrick S, Gelatt C D, Vecchi M P. Optimization by simulated annealing. Science, 1983; 220: 671–680.
[18] Pham D T, Pham P T N. Artificial intelligence in engineering. International Journal of Machine Tools & Manufacture, 1999; 39: 937–949.
[19] Benvenga M A C, Araújo S A, Librantz A F H, Santana J C C, Tambourgi E B. Application of simulated annealing in simulation and optimization of drying process of Zea mays malt. Engineering Agriculture, 2011; 31: 940–954.
[20] Zhang Z H, Sun D W. Effect of cooling methods on the cooling efficiencies and qualities of cooked broccoli and carrot slices. Journal of Food Engineering, 2006; 77: 320–326.
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Published
2014-10-30
How to Cite
Tian, D., Alves, W. A. L., Araújo, S. A., Santana, J. C. C., Jiangang, L., Jianchu, C., & Donghong, L. (2014). Simulation approach for optimal design of vacuum cooling on broccoli by simulated annealing technique. International Journal of Agricultural and Biological Engineering, 7(5), 111–115. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/1180
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Agro-product and Food Processing Systems
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