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响应面法优化产琥珀酸发酵培养基
引用本文:杨昆,詹晓北,陈蕴,张丽敏.响应面法优化产琥珀酸发酵培养基[J].安徽农业科学,2008,36(16):6611-6614.
作者姓名:杨昆  詹晓北  陈蕴  张丽敏
作者单位:江南大学工业生物技术教育部重点实验室,江苏无锡,214122
基金项目:"十一五"国家科技支撑计划项目 , 无锡市"学术技术带头人培养工程"项目
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%。

关 键 词:琥珀酸放线杆菌  琥珀酸  响应面法  发酵培养基
文章编号:0517-6611(2008)16-06611-04
修稿时间:2008年3月19日

Optimization of Fermentation Medium Producing Succinate by Response Surface Method
YANG Kun et al.Optimization of Fermentation Medium Producing Succinate by Response Surface Method[J].Journal of Anhui Agricultural Sciences,2008,36(16):6611-6614.
Authors:YANG Kun
Abstract:Objective] The purpose was to enhance the output of succinate.Method] Based on confirming significant factors through single factor experiment,the fermentation medium 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 confirmed 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 maltose,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.
Keywords:Actinobacillus succinogenes  Succinate  Response surface method  Fermentation medium
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