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Investigation of the gibberellic acid optimization with a statistical tool from Penicillium variable in batch reactor
Nur Kamilah Md Isa1, Mashitah Mat Don
1a School of Chemical Engineering, Universiti Sains Malaysia, Engineering Campus, Seberang Perai Selatan , Penang , Malaysia.
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.
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