College of Chemical Engineering and Technology, Wuhan University of Science and Technology, Wuhan, 430081, PR China.
Z Naturforsch C J Biosci. 2011 Mar-Apr;66(3-4):173-81. doi: 10.1515/znc-2011-3-412.
The response surface methodology (RSM) involving central composite design (CCD) was employed to optimize the fermentation medium for the cell growth and schizophllan production by Schizophyllum commune CGMCC 5.113 in submerged culture at pH 6.5 and 26 degrees C. The four variables involved in this study were glucose, yeast extract, ammonium nitrate, and magnesium sulfate. The statistical analysis of the results showed that, in the range studied, glucose and yeast extract had a highly significant effect on schizophyllan production. The optimal medium for schizophyllan production calculated from the regression model of RSM was as follows: glucose, 18 g/l; yeast extract, 0.5 g/l; NH4NO3, 0.48 g/l; and MgSO4, 0.05 g/l, with a predicted maximum schizophyllan production of 11.74 g/l. These predicted values were experimentally validated. The excellent correlation between predicted and measured values justifies the validity of the response model. The results of bioreactor fermentation also show that the optimized medium enhanced schizophyllan production (12.80 g/l) by S. commune in a 5-1 fermenter.
响应面法（RSM）结合中心组合设计（CCD）被用于优化深层发酵条件以提高裂褶菌CGMCC 5.113 的细胞生长和裂裥菌素产量。在 pH 6.5 和 26°C 的条件下，本研究选择了葡萄糖、酵母提取物、硝酸铵和硫酸镁作为四个影响因素。结果的统计学分析表明，在所研究的范围内，葡萄糖和酵母提取物对裂裥菌素的产量有高度显著的影响。通过 RSM 回归模型计算出的裂裥菌素生产的最佳培养基为：葡萄糖 18 g/L；酵母提取物 0.5 g/L；NH4NO3 0.48 g/L；MgSO4 0.05 g/L，预测的最大裂裥菌素产量为 11.74 g/L。这些预测值通过实验得到了验证。预测值与实测值之间的良好相关性证明了响应模型的有效性。生物反应器发酵的结果也表明，优化后的培养基显著提高了裂褶菌在 5-1 发酵罐中的裂裥菌素产量（12.80 g/L）。
