Medium optimization based on statistical methodologies for pristinamycins production by Streptomyces pristinaespiralis
Medium optimization based on statistical methodologies for pristinamycins production by Streptomyces pristinaespiralis
复制标题
基于原始螺旋链霉菌生产原始霉素统计方法的培养基优化
DOI：
10.1007/s12010-007-8012-3
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发表时间：
2008-02-01
影响因子：
3
通讯作者：
Mei, L. H.
中科院分区：
文献类型：
--
作者：
Jia, B.;Jin, Z. H.;Mei, L. H.
采用Plackett-Burman设计、最陡爬坡法和中心组合设计（CCD）对原始旋链霉菌（Streptomyces pristinaespiralis）深层发酵生产原始霉素的营养水平进行了优化。首先，采用Plackett-Burman设计评估培养基中相关营养物质的影响。可溶性淀粉和MgSO 4中心点7 H（2）O被确定为最显著的营养素，置信水平为99%。随后，利用CCD响应面法和最陡爬坡法对两种营养物质的浓度进行了优化。因此，二阶多项式回归模型最终拟合到实验数据。通过对模型回归方程的求解和响应面分析，确定了可溶性淀粉和MgSO 4中心点7 H（2）O的最佳添加量分别为20.95和5.67g/L。在优化的培养基条件下，摇瓶和5L生物反应器中的普那霉素产量分别可达1.30和1.01g/L，为目前文献报道的最高产量。
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 center dot 7H(2)O 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 center dot 7H(2)O 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 1.01g/L, respectively, which is the highest yield reported in literature to date.