Jia B, Jin Z H, Mei L H
Department of Biological and Pharmaceutical Engineering, Ningbo Institute of Technology, Zhejiang University, Ningbo 315100, People's Republic of China.
Appl Biochem Biotechnol. 2008 Feb;144(2):133-43. doi: 10.1007/s12010-007-8012-3.
The optimization of nutrient levels for the production of pristinamycins by Streptomyces pristinaespiralis CGMCC 0957 in submerged fermentation was carried out using the statistical methodologies based on the Plackett-Burman design, the steepest ascent method, and the central composite design (CCD). First, the Plackett-Burman design was applied to evaluate the influence of related nutrients in the medium. Soluble starch and MgSO4 x 7H2O were then identified as the most significant nutrients with a confidence level of 99%. Subsequently, the concentrations of the two nutrients were further optimized using response surface methodology of CCD, together with the steepest ascent method. Accordingly, a second-order polynomial regression model was finally fitted to the experimental data. By solving the regression equation from the model and analyzing the response surface, the optimal levels for soluble starch and MgSO4 x 7H2O were determined as 20.95 and 5.67g/L, respectively. Under the optimized medium, the yield of pristinamycins in the shake flask and 5-L bioreactor could reach 1.30 and 1.01 g/L, respectively, which is the highest yield reported in literature to date.
采用基于Plackett-Burman设计、最速上升法和中心复合设计（CCD）的统计方法，对螺旋链霉菌CGMCC 0957在深层发酵中生产普那霉素的营养水平进行了优化。首先，应用Plackett-Burman设计评估培养基中相关营养物质的影响。然后，确定可溶性淀粉和MgSO₄·7H₂O是置信水平为99%的最显著营养物质。随后，结合最速上升法，使用CCD的响应面方法进一步优化这两种营养物质的浓度。因此，最终对实验数据拟合了二阶多项式回归模型。通过求解模型中的回归方程并分析响应面，确定可溶性淀粉和MgSO₄·7H₂O的最佳水平分别为20.95和5.67g/L。在优化后的培养基下，摇瓶和5-L生物反应器中普那霉素的产量分别可达1.30和1.01g/L，这是迄今为止文献报道的最高产量。
