响应面法优化头孢菌素C发酵条件

目的研究顶头孢霉发酵制备头孢菌素C的过程,确定关键影响因素,优化发酵条件,提高发酵水平。方法采用Plackett-Burman方法对影响头孢菌素C发酵水平的11个因素进行考察,评估各因素的影响程度,筛查影响发酵水平的关键因素,再采用响应面方法建立这些因素与发酵水平间的数学模型,为发酵条件的优化提供指导。结果Plackett-Burman实验发现,金枪鱼浸膏浓度和蛋氨酸浓度是对头孢菌素C发酵产量影响最显著的2个因素,经响应面方法优化后头孢菌素C的产量从32.59g/L提高到了35.99g/L,提高了10.4%。结论合适浓度的金枪鱼浸膏和蛋氨酸可提高头孢菌素C发酵产量,通过统计优化方法,可有效提高头孢菌素C发酵水平。

Optimization of the cephalosporin C fermentation using the response surface analysis

Objective To study the cephalosporin C fermentation by Cephalosporium acremonium, ascertain the key factors, and improve the production level through condition optimization. Methods The Plackett-Burman design was applied to evaluate the influence of related factors and screen the key factors critical to the yield. The response surface methodology was used to construct one statistic model of how these key elements impact the cephalosporin C yield in order to guide the fermentation condition optimization. Results Of eleven factors investigated, tuna extract and DL-methionine concentration were identified as the critical factors. Based on the mathematical model between the two factors and the fermentation yield of cephalosporin C established by the response surface methodology, an optimal fermentation condition was obtained and the yield of cephalosporin C increased 10.3% from 32.589 to 35.946g/L. Conclusion The suitable concentration of tuna extract and methionine can improve the fermentation yield of cephalosporin C. With the help of statistical optimization methods, cephalosporin C fermentation yield was enhanced