摘要
为了充分发挥出突变株的高转化活性及其优良特性,采用响应面试验设计方法优化(R)-肾上腺素高产菌株Kocuria rhizophila(K.rhizophila).H5401的发酵培养基。用Plackett-Burman设计法研究初始发酵培养基中各成分对(R)-肾上腺素产率的影响,筛选出有显著效应的3个因素:甘油、蛋白胨和NH_4H_2PO_4。利用最陡爬坡法逼近最大响应区域。通过Box-Behnken中心组合实验和响应面分析方法确定出3个主要影响因素的最佳浓度。实验结果经过回归分析拟合出1个2次方程,用其预报的最优培养基做摇瓶发酵试验,(R)-肾上腺素产率达61.07%,比优化前提高了24.89%,表明响应面试验设计优化方法有效提高了(R)-肾上腺素的产量,降低了生产成本,为后续放大实验提供依据。
Aiming at increasing the rate of production, the fermentation medium of Kocuria rhizophila（K, rhizophila）. H5401 highly producing （R）-adrenaline was optimized by using response surface analyzing method （RSAM）. In the first step of optimization, the impact of initial medium constituents on （R）-adrenaline production was studied by Plackett-Burman design. Glycerol, Peptone and NH4 H2 PO4 were found to be the important factors affecting （R）-adrenaline production significantly. In our work, the greatest response area was estimated by the design of steepest ascent approach. Box-Behnken central composite design and RSAM were applied to deter- mine the optimal concentration of each significant variable. The quadratic model established by regression analysis facilitated the prediction of the optimum medium composition for the fermentation process, and the results of the experiment were in agreement with our proposed model. （R）-adrenaline yield with ultimate value 61.07% design, which was increased by 24. 89% in the original medium. was observed after the optimization carried out according to RSAM The optimized condition allowed （R）-adrenaline production to increase effectively.
出处
《计算机与应用化学》
CAS
CSCD
北大核心
2009年第7期935-939,共5页
Computers and Applied Chemistry
基金
福建省自然科学基金资助项目(2008J0100)
