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用变青霉在批式反应器中的统计工具研究赤霉素的最优化。

Investigation of the gibberellic acid optimization with a statistical tool from Penicillium variable in batch reactor.

机构信息

a School of Chemical Engineering, Universiti Sains Malaysia, Engineering Campus, Seberang Perai Selatan , Penang , Malaysia.

出版信息

Prep Biochem Biotechnol. 2014;44(6):572-85. doi: 10.1080/10826068.2013.844707.

Abstract

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.

摘要

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。

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