统计学分析方法应用于蛹虫草发酵培养基的优化

应用Plackett-Burman设计法对影响蛹虫草发酵的培养基组分进行了筛选,选取的8个相关因素为蛋白胨、酵母浸粉、蔗糖、MgSO4.7H2O、KH2PO4、ZnCl2、VB1和(NH4)2SO4。确定了影响蛹虫草腺苷得率的关键因素为酵母浸粉、蔗糖和VB1。在此基础上,采用响应面法对影响蛹虫草腺苷得率的关键因素最佳水平范围进一步研究,通过二次方程回归求解得知,当酵母浸粉、蔗糖和VB1的用量分别为18.970、18.8500、.235 g/L时,模型预测值蛹虫草腺苷得率为5.176 mg/g,验证值为5.093 mg/g,预测值与验证值吻合较好。

Statistical optimization of fermentation medium for mycelia production by cordyceps militaris

The Plackett-Burman design was used to evaluate the effects of eight variables which were peptone,yeast extract,sucrose,MgSO4·7H2O,KH2PO4,ZnCl2,VB1 and(NH4)2SO4.By analyzing the statistical regression,yeast extract、sucrose and VB1 were found to be the most important factors.Subsequently,Response surface methodology was employed to determine the maximum adenosine production at optimum concentration of key factors.The adenosine production was found to correlate to the three parameters that could be represented by second-order polynomial models.The optimal values of the three parameters were determined as 18.97 g/L yeast extract、18.85 g/L sucrose and 0.235 g/L VB1.The adenosine production was 5.176 mg/g,and the actual experimental result was 5.093 mg/g.The predictive value is in good agreement with the actual value.