摘要: |
为了预测小黄鱼(Pseudosciaena polyactis)鱼干的货架期, 对贮藏在30°C、35°C、40°C下的小黄鱼干的品质进行测定, 通过测定菌落总数、酸价、过氧化值三个指标在贮藏期间的变化, 分别对这三个指标与贮藏时间、温度建立一级动力学方程及Arrhenius方程, 建立小黄鱼干货架期预测模型。经计算得出, 菌落总数预测模型中的活化能(Ea)及指前因子(k0)分别为29.26kJ/mol和4.46×102, 酸价预测模型中的的活化能及指前因子分别为47.05kJ/mol和4.1×105, 过氧化值预测模型中的活化能及指前因子分别为49.76kJ/mol和1.53×106。在37°C和42°C条件下验证动力学模型, 结果表明相对误差分别为?4.68%和?6.25%, 准确性较好。进一步推算得出, 在20°C和25°C常温下贮藏小黄鱼干, 产品的货架期为500d和352d。 |
关键词: 小黄鱼干 动力学模型 常温保藏 货架期预测 |
DOI:10.11693/hyhz20140300073 |
分类号: |
基金项目:浙江省重大科技项目, 2012C11015-2号; 浙江省自然科学基金项目, LY13C200005号。 |
附件 |
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SHELF LIFE PREDICTION OF DRIED PSEUDOSCIAENA POLYACTIS PRESERVED AT ROOM TEMPERATURE THROUGH KINETIC MODELS |
SUN Ai and XIE Chao
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School of Food Science and Pharmacy,Zhejiang Ocean University,Zhoushan,316000,School of Food Science and Pharmacy,Zhejiang Ocean University,Zhoushan,316000
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Abstract: |
To predict the shelf life of dried Pseudosciaena polyactis, kinetic models were developed to predict the shelf life of dried P. polyactis. Total bacterial count (TBC), acid value and peroxide value at different storage temperatures (30, 35 and 40°C) were accessed to research the relation between the shelf life and temperature. The kinetic models of TBC, acid value and peroxide value with respect to preservation time and temperature were established based on Arrhenius equation. The high regression coefficients (R2>0.9) indicated the acceptability of the first order reaction and Arrhenius model for predicting the changes of TBC, acid value and peroxide value of dried P. polyactis. Activation energies (Ea) and rate constants (k0) of TBC, acid value and peroxide value were obtained. They were 29.26kJ/mol, 4.46×102, 47.05kJ/mol, 4.1×105, 49.76kJ/mol, 1.53×106, respectively. Compared with observed shelf life of P. polyactis stored at 37 and 42°C, relative error between predicted and observed shelf life were ?4.68% and ?6.25%, respectively. Shelf life of dried P. polyactis was 500 days at 20°C and 352 days at 25°C through extrapolation of Arrhenius equation. |
Key words: dried Pseudosciaena polyactis kinetic models preservated at room temperature shelf life prediction |