利用……在深层发酵中进行美伐他汀的发酵生产及优化
Fermentative production and optimization of mevastatin in submerged fermentation using .
作者信息
Syed Mahin Basha, Rajasimman M
机构信息
Environmental Engineering Lab, Nawab Shah Alam Khan College of Engineering and Technology, Malakpet, Hyderabad-500024, India.
Annamalai University, Annamalainagar-608002, Tamilnadu, India.
出版信息
Biotechnol Rep (Amst). 2015 Apr 9;6:124-128. doi: 10.1016/j.btre.2015.04.002. eCollection 2015 Jun.
The main objective of the study is to enhance the mevastatin production using Plackett-Burman (PB) and central composite design (CCD) by in submerged fermentation (SmF). Eight nutrients were chosen for a PB design with 12 experimental runs. A maximum mevastatin production of 170.4 mg L was obtained in PB design. Response surface methodology (RSM) is a sequential procedure with an initial objective to lead the experimenter rapidly and efficiently along a path of improvement toward the general vicinity of the optimum. The individual and interactive effects of these variables were studied by conducting the fermentation run at randomly selected and different levels of all five factors. Experiments were conducted to optimize the medium constituents like glycerol, CuCl·2HO, FeSO·7HO, KHPO and MgSO·7HO. At the optimum condition, a maximum mevastatin production of 701 mg L was obtained.
本研究的主要目标是通过在深层发酵（SmF）中使用Plackett-Burman（PB）和中心复合设计（CCD）来提高美伐他汀的产量。选择了八种营养物质进行PB设计，共12次实验运行。在PB设计中获得了最高170.4 mg/L的美伐他汀产量。响应面法（RSM）是一个循序渐进的过程，其初始目标是引导实验者沿着改进路径快速有效地朝着最优值的大致范围前进。通过在所有五个因素的随机选择和不同水平下进行发酵运行，研究了这些变量的个体和交互作用。进行实验以优化培养基成分，如甘油、CuCl·2H₂O、FeSO·7H₂O、KH₂PO₄ 和 MgSO·47H₂O。在最佳条件下获得了最高701 mg/L的美伐他汀产量。
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