论文部分内容阅读
目的建立米饭中蜡样芽孢杆菌的生长模型。方法观察不同温度(10、15、20、25、30、34、37、43℃)对米饭中蜡样芽孢杆菌生长的影响,并采用SGompertz和SLogistic模型对不同温度下蜡样芽孢杆菌的生长数据进行拟合;在此基础上,以拟合度(R~2)、准确因子(A_f)和偏差因子(B_f)为指标,比较并建立米饭中蜡样芽孢杆菌的二级生长模型。结果 SGompertz模型能更好地拟合米饭中蜡样芽孢杆菌在不同温度下的生长数据,选择其作为蜡样芽孢杆菌在米饭中的一级生长模型。采用平方根模型建立的米饭中蜡样芽孢杆菌二级生长模型的Af值分别为1.12和1.14,Bf值分别为0.99和1.03,拟合度分别为0.9537和0.8503;采用二次多项式模型建立的二级生长模型的Af值分别为1.24和1.11,Bf值分别为0.92和0.92,拟合度分别为0.9550和0.9462。结论二次多项式模型能够较准确地预测米饭中蜡样芽孢杆菌的生长状况,模型具有可靠性。
Objective To establish the growth model of Bacillus cereus in rice. Methods The effects of different temperature (10,15,20,25,30,34,37,43 ℃) on the growth of Bacillus cereus in rice were observed. The growth data of Bacillus cereus at different temperatures were analyzed by using SGompertz and SLogistic models Then, the secondary growth model of Bacillus cereus in rice was established and compared with the fitting degree (R ~ 2), accuracy factor (A_f) and deviation factor (B_f) as the index. Results The SGompertz model can better fit the growth data of Bacillus cereus at different temperatures in rice, and select it as the first-order growth model of rice cereal. The squared root model was used to establish Bacillus cereus secondary growth model Af values were 1.12 and 1.14, Bf values were 0.99 and 1.03, the fitting degrees were 0.9537 and 0.8503; using quadratic polynomial model established secondary The values of Af for the growth model were 1.24 and 1.11, respectively. The Bf values were 0.92 and 0.92, respectively, and the fitting degrees were 0.9550 and 0.9462, respectively. Conclusion The quadratic polynomial model can predict the growth of Bacillus cereus in rice more accurately. The model is reliable.