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      • KCI우수등재

        Animal Products and Processing : Quality Prediction of Eggs Treated in Combination with Gamma Irradiation and Chitosan Coating Using Response Surface Methodology

        ( Kyung Heang Lee ),( Sam Ooel Jung ),( Jun Sang Ham ),( Jun Heon Lee ),( Soo Kee Lee ),( Cheo Run Jo ) 한국동물자원과학회(구 한국축산학회) 2011 한국축산학회지 Vol.53 No.3

        The aim of this work was to determine the method and predict the optimum conditions for egg quality stored for 7 days when combination treatments of irradiation and chitosan coating were applied using response surface methodology(RSM). A central composite design was chosen for the RSM in this study and the factors were irradiation dose(0~2kGy) and concentration of chitosan coating material(0~2%). Performance of the irradiation and chitosan coating were evaluated by analyzing the egg quality and functional property factors. The predicted maximum level of Haugh units and foaming ability calculated by a developed model were 74.19 at 0 kGy of irradiation with coating by 0.96% chitosan solution and 50.83 mm at 2.0kGy with 1.01%, respectively. The predicted minimum value of foam stability and 2-thiobarbituric acid reactive substances(TBARS) value were 2.97mm at 0.39kGy with 0.21% and 0.54mg malonaldehyde/kg egg yolk at 0kGy with 0.90% of chitosan solution, respectively. Results clearly showed that gamma irradiation negatively affected the Haugh unit and TBARS but positively affected the foaming capacity. The estimated value from the developed model by RSM was verified by no statistical difference with observed value. Therefore, RSM can be a good tool for optimization and prediction of egg quality when 2 or more treatments are combined. However, one should decide the target quality first to achieve a successful implementation of this technology.

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