Wu Qiu-Li, Chen Tao, Gan Yu, Chen Xun, Zhao Xue-Ming
Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, People's Republic of China.
Appl Microbiol Biotechnol. 2007 Sep;76(4):783-94. doi: 10.1007/s00253-007-1049-y. Epub 2007 Jun 19.
A sequential optimization strategy, based on statistical experimental designs, was used to enhance the production of riboflavin by recombinant Bacillus subtilis RH44. In the first instance, the medium components were optimized in shake flask cultures. After preliminary experiments of nitrogen source selection, the two-level Plackett-Burman (PB) design was implemented to screen medium components that significantly influence riboflavin production. Among the 15 variables tested, glucose, NaNO(3), K(2)HPO(4), ZnSO(4), and MnCl(2) were identified as the most significant factors (confidence levels above 95%) for riboflavin production. The optimal values of these five variables were determined by response surface methodology (RSM) based on the central composite design (CCD). The validity of the model developed was verified, and the optimum medium led to a maximum riboflavin concentration of 6.65 g/l, which was 44.3 and 76.4% higher than the improved medium and the basal medium, respectively. A glucose-limited fed-batch culture profile in a 5-l fermentor was consequently designed according to the above optimum medium in shake flasks. A final riboflavin concentration of 16.36 g/l was obtained in 48 h, which further verified the practicability of this optimum strategy.
采用一种基于统计实验设计的顺序优化策略,以提高重组枯草芽孢杆菌RH44生产核黄素的产量。首先,在摇瓶培养中对培养基成分进行优化。在进行氮源选择的初步实验后,采用二级Plackett-Burman(PB)设计来筛选对核黄素生产有显著影响的培养基成分。在测试的15个变量中,葡萄糖、NaNO₃、K₂HPO₄、ZnSO₄和MnCl₂被确定为对核黄素生产影响最显著的因素(置信水平高于95%)。基于中心复合设计(CCD)的响应面方法(RSM)确定了这五个变量的最佳值。验证了所建立模型的有效性,优化后的培养基使核黄素最高浓度达到6.65 g/l,分别比改良培养基和基础培养基高出44.3%和76.4%。因此,根据上述摇瓶中的最佳培养基,设计了5升发酵罐中的葡萄糖限制补料分批培养方案。在48小时内获得了16.36 g/l的最终核黄素浓度,进一步验证了该优化策略的实用性。