真空包装低温熟制鸽子货架期预测模型的建立

Establishment of shelf life prediction model for vacuum-packed low-temperature cooked pigeon

中文关键词:  低温熟鸽  菌落总数  Gompertz方程  货架期  预测模型

英文关键词:low-temperature cooked pigeon  colony total  Gompertz equation  shelf life  prediction model

中文摘要:

      目的 研究低温熟鸽货架期模型, 降低生产成本, 验证Gompertz方程在该类肉制品中预测的可行性。方法 对真空包装低温熟制鸽子在不同温度条件下贮藏的菌落总数、大肠菌群、总挥发性盐基氮及感官品质变化进行评价。利用熟制鸽子菌落总数指标, 通过Gompertz方程和平方根方程进行拟合, 建立低温熟鸽货架期模型。结果 贮藏在4、10、15、20、25℃样品的菌数总数、总挥发性盐基氮均随着贮藏天数增加有不同程度的增加, 在10~25℃条件下, 贮藏后期菌落总数变化趋势高于贮藏初期; 与4℃和10℃的样品相比, 其他3组温度下的感官变化更加明显。此外, 所有样品的总大肠菌群平板计数均小于10 CFU/g, 且不同贮藏温度下无差异。因此, 选择菌落总数作为建立货架期模型的指标。结论 该模型的预测数值与实践测定值的相对误差在±10%范围内, 表明该模型可靠。

英文摘要:

      Objective To study the shelf life model of low-temperature cooked pigeons, reduce the production cost, and verify the feasibility of Gompertz equation in the prediction of this kind of meat products. Methods The changes of total bacterial count, coliform group, total volatile basic nitrogen and sensory quality of vacuum packaged low-temperature cooked pigeons stored at different temperatures were evaluated. The shelf life model of low-temperature cooked pigeons was established by using the total bacterial count index of cooked pigeons and fitting the Gompertz equation and square root equation. Results The total number of bacteria and total volatile basic nitrogen of samples stored at 4、10、15、20、25℃ increased with the increase of storage days. At 10-25℃, the change trend of the total number of bacteria in the late storage period was higher than that in the early storage period. Compared with the samples at 4℃ and 10℃, the sensory changes of the other 3 groups were more obvious. In addition, the total coliform plate count of all samples was less than 10 CFU/g, and there was no difference under different storage temperatures. Therefore, the total number of bacterial colonies was selected as the index to establish the shelf life model. Conclusion The relative error between the predicted value of the model and the measured value in practice is less than ±10%, it shows that the model is reliable.