a School of Chemical Engineering, Universiti Sains Malaysia, Engineering Campus, Seberang Perai Selatan , Penang , Malaysia.
Prep Biochem Biotechnol. 2014;44(6):572-85. doi: 10.1080/10826068.2013.844707.
The culture conditions for gibberellic acid (GA3) production by the fungus Penicillium variable (P. variable) was optimized using a statistical tool, response surface methodology (RSM). Interactions of culture conditions and optimization of the system were studied using Box-Behnken design (BBD) with three levels of three variables in a batch flask reactor. Experimentation showed that the model developed based on RSM and BBD had predicted GA3 production with R(2) = 0.987. The predicted GA3 production was optimum (31.57 mg GA3/kg substrate) when the culture conditions were at 7 days of incubation period, 21% v/w of inoculum size, and 2% v/w of olive oil concentration as a natural precursor. The results indicated that RSM and BBD methods were effective for optimizing the culture conditions of GA3 production by P. variable mycelia.
利用统计工具响应面法（RSM）优化了可变青霉（P. variable）产生赤霉素（GA3）的培养条件。通过批次瓶式反应器中的 Box-Behnken 设计（BBD），以三个变量的三个水平研究了培养条件的相互作用和系统的优化。实验表明，基于 RSM 和 BBD 建立的模型可以预测 GA3 的产量，R（2）= 0.987。当培养条件为 7 天的培养期、21%v/w 的接种量和 2%v/w 的橄榄油浓度作为天然前体时，GA3 的产量达到最佳（31.57mg GA3/kg 基质）。结果表明，RSM 和 BBD 方法可有效优化 P. variable 菌丝体产生 GA3 的培养条件。
