RSM优化蛹虫草菌产虫草素液体发酵培养基

Optimization of liquid fermentation medium for cordycepin production by Cordyceps militaris with response surface methodology

文章采用响应曲面法(RSM)对蛹虫草液体发酵培养基成分葡萄糖、酵母粉、KH2PO4和MgSO4进行优化,并采用多元二次回归方程拟合4种因素与虫草素产量之间的函数关系。通过响应面回归分析,确定了培养基中4因素的最佳质量浓度分别为:葡萄糖30.16g/L,酵母粉10.00g/L,KH2PO42.040g/L,MgSO41.460g/L。在该条件下,响应面模型预测的虫草素产量为63.69mg/L,最佳培养基条件下的验证试验结果为64.15mg/L,与模型的预测值基本一致,表明模型可较好地预测虫草素的产量。

The response surface methodology（RSM） was applied to optimizing the liquid fermentation medium components of Cordyceps militaris--glucose, yeast extract, KH2PO4 and MgSO4. The mult- ivariate quadratic regression equation was used to imitate the functional relationship between the four kinds of factors and cordycepin production. By the response surface regression analysis, the optimal concentration of the four factors in the medium were determined as follows： glucose is 30.16 g/L, yeast extract is 10.00 g/L, KH2PO4 is 2.040 g/L, MgSO4 is 1.460 g/L. Under this condition, the cordycepin production predicted by the response surface model was 63.69 mg/L. The validation test result under the optimal culture medium condition was 64.15 mg/L. That is consistent with the pre- dictive value, which indicates that the model can be used to predict the yield of cordycepin.