响应面法与遗传算法优化解淀粉芽孢杆菌Q-426发酵的kLa

Optimization of k_La during fermentation process of Bacillus amyloliquefaciens Q-426 using response surface method and genetic algorithm

为了实现解淀粉芽孢杆菌Q-426发酵过程溶氧的优化控制,将响应面法与遗传算法结合,研究了搅拌速度x_1及通气速率x_2对分批发酵的体积溶氧传递系数k_La的影响。响应面分析表明:当搅拌速度>680 r·min^(-1)及通气速率>140 L·h^(-1)时,k_La有最大值。将二阶回归方程作为遗传算法优化的目标函数,经过51次迭代,获得了最优值,k_La最大值为:7.3801×10^(-5)s^(-1)(x_1=755.311 r·min^(-1),x_2=171.362 L·h^(-1))。

In order to realize the optimization of dissolved oxygen control in the fermentation process ofBacillus amyloliquefaciens Q-426,response surface method（RSM） and genetic algorithm （GA） were used to study the effects of process variables like agitation （x1） and aeration （x2）on volumetric mass transfer coefficient （kLa） during the batch fermentation. RSM analysis indicated that the agitation speed〉680 r·min-1 and aeration rate 〉140 L·h-1 resulted in maximum kLa value. The second-order regression equation was further used as the objective function for optimization using genetic algorithm. A iterations of 51 have successfully led to convergence the optimum. The maximum kLa value obtained using GA was 7.3801×10-5s-1 （x1=755.311 r·min-1 andx2=171.362 L·h-1）.