为了优化控制发酵过程以定向生产生理活性物质,以菌丝球生物量作为参考指标,对培养基成分进行了优化,确定了蛹虫草菌丝球培养的最适碳源、氮源、微量元素及其含量,分别为:葡萄糖40.0 g/L、蛋白胨3.5g/L、KH2PO40.5 g/L、MgSO4.7H2O 3.5 g/L、CaCl20.3 g/L。利用Box-Behnken中心组合实验设计及响应面分析方法,得到了菌丝生物量的预测模型。结果表明:通过该预测模型可以很好地描述菌丝生物量与转速、接种量和培养时间等重要参数之间的关系,R2达到0.983 8,以及小的P值,利用得到的改进预测模型可以计算菌丝生物量,为优质高效地培养菌丝球创造了条件。
In order to optimize the fermentation process to direct the production of physiologically active substances,with the mycelial biomass as a reference index,the composition of culture medium were optimized.The study determined that the mycelial culture was the most suitable carbon source,and nitrogen source,trace element and optimization various additions of medium components was obtained: glucose was 40.0 g/L,peptone was 3.5g/L,KH2PO_4 was 0.5 g/L,MgSO_4·7H2O was 3.5 g/L,and CaCl_2 was 0.3 g/L.The biomass of mycelia was studied through Box-Benhnken design and response surface methodology(RSM),which enabled effective examination on the parameters with a moderate number of experiments.The results showed that the biomass of mycelia was well correlated with operating parameters,including rotate speed,inoculation number and time,with a determination coefficient R~2 of 0.9838 and small P value.The improved response surface model is helpful in the calculation of the biomass of mycelia,and makes quality and efficient mycelia pellet culturing possible.
