BP网络对凝结芽孢杆菌芽孢热压协同灭活条件的优化

Application of BP Network to Optimization of Inactivation Conditions of Bacillus coagulans Spore by Ultra-high Pressure Combined with Heating

通过BP网络对超高静压协同热处理灭活凝结芽孢杆菌芽孢的条件(压力、温度和保压时间)进行优化,结果表明,经过训练的BP网络具有良好的预测能力;经训练的BP网络能够对超高静压协同热处理灭活凝结芽孢杆菌芽孢的条件进行优化,得到的最优组合为:压力550MPa,温度80℃、时间20min,此组合可达到的灭活效果为芽孢数下降了4.97个数量级,此结果比正交试验结果提高了0.16个数量级。

Three key conditions for inactivating Bacillus coagulans spore by ultra-high pressure combined with heating, such as pressure, preheating temperature and pressure-holding time were optimized using BP network in this study, kesults indicated that BP network was capable of accurate prediction and the trained BP neural network was able to optimize and simulate the inactivation process of Bacillus coagulans spore by ultra-high pressure combined with heating. The best inactivation effect was obtained by preheating Bacillus coagulans suspension at 80 ℃ and then pressurizing it at 550 MPa for 20 min, and the number of Bacillus coagulans spore was decreased by 4.97 log unit, which was 0.16 log unit higher than the result from orthogonal test.