摘要
[目的]提高琥珀酸产量。[方法]在单因素试验确定显著因素的基础上,采用响应面法优化琥珀酸放线杆菌JNUBE0709的发酵培养基,利用Design-Expert软件对优化的结果进行二次回归分析。[结果]单因素试验确定碳源麦芽糖的浓度为50 g/L,氮源酵母膏的浓度为25 g/L,酸碱中和剂MgCO3的浓度为40 g/L。响应面法优化得麦芽糖、酵母膏、MgCO33个显著因素的最佳浓度分别为51.1、24.5、40.4g/L,此条件下琥珀酸的产量达33.45 g/L,比优化前提高了14.28 g/L,与模型预测值33.68 g/L基本吻合。麦芽糖与酵母膏的交互作用不显著(P>0.05),MgCO3与麦芽糖、酵母膏的交互作用均显著(P<0.05)。[结论]响应面法优化琥珀酸放线杆菌发酵培养基后的琥珀酸产量比优化前提高了74.49%。
[ Objective ] The purpose was to enhance the output of succinate. [ Method] Based on confirming significant factors through single factor experiment, the fermentation medittrn of Actinobacillus succinogenes JNUBE0709 was optimized by response surface method and the quadratic regression analysis was conducted on the optimized results by using Design-Expert software. [Result] It was conf＇mued through single factor experiment that the carbon source maltose was 50 g/L, nitrogen source yeast extract was 25 g/L and acid-alkali neutralizer MgCO3 was 40 g/L. The optimum concn, of 3 significant factors of maltose, yeast extract and MgCO3 obtained through optimization by response surface method were 51.1, 24.5 and 40.4 g/L resp. Under this condition, the output of succinate was up to 33.45 g/L, increasing by 14.28 g/L than that before optimization and basically according with the model prediction value of 33.68 g/L. The interaction between maltose and yeast extract was not significant （ P 〉 0.05） and that between MgCO3 and mahose, yeast extract were significant （P 〈 0.05）. [ Conclusion] The output of succinate after the fermentation medium of A. succinogenes was optimized by response surface method was enhanced by 74.49% than that before optimization.
出处
《安徽农业科学》
CAS
北大核心
2008年第16期6611-6614,6772,共5页
Journal of Anhui Agricultural Sciences
基金
"十一五"国家科技支撑计划项目(2007BAK36B03)
无锡市"学术技术带头人培养工程"项目(200502)
关键词
琥珀酸放线杆菌
琥珀酸
响应面法
发酵培养基
Actinobacillus succinogenes
Succinate
Response surface method
Fermentation medium
