响应面法优化枯草芽孢杆菌产γ-聚谷氨酸发酵工艺  

Optimization of Medium Composition and Fermentation Conditions by Response Surface Methodology for the Production of Poly-γ-Glutamic Acid by Bacillus subtilis

作　　者：贺杨扬[1] 曾伟[1] 王青龙[1] 王大芸[1] 陈桂光[1] 梁智群[1] 

机构地区：[1]广西大学生命科学与技术学院、亚热带农业生物资源保护与利用国家重点实验室,广西南宁530004

出　　处：《食品科学》2014年第9期147-151,共5页Food Science

基　　金：国家自然科学基金地区科学基金项目(21062001);广西研究生教育创新计划资助项目(YCBZ2012004)

摘　　要：以1株谷氨酸依赖型γ-聚谷氨酸(poly-γ-glutamic acid,γ-PGA)产生菌Bacillus subtilis GXA-28为研究对象,利用响应面法系统优化其γ-聚谷氨酸发酵培养基成分。通过单因素试验、Plackett-Burman试验、最陡爬坡试验以及Box-Behnken试验构建响应方程,利用该方程预测得到最优培养基:蔗糖33.65 g/L、酵母膏0.4 g/L、NH4Cl 1.6 g/L、谷氨酸钠15 g/L、KH2PO4 0.4 g/L、K2HPO4·3H2O 1.68 g/L、MgSO4·7 H2O 0.1 g/L、MnSO4·H2O 0.04 g/L。利用优化培养基,在40.2℃、160 r/min条件下摇瓶发酵22 h,γ-PGA产量达到16.63 g/L,底物谷氨酸钠转化率比优化前提高了20%,达到100%。Poly-γ-glutamic acid, as a high molecular polymer produced by microorganism, is widely used in industry, agriculture, food, medicine and cosmetics. This study aimed to use response surface methodology for a systematic optimization of fermentation medium composition for the production of poly-γ-glutamic acid by a glutamic acid- dependent strain of Bacillus subtilis GXA-28. A response surface regression equation was established based on the results of one-factor-at-a-time, Plackett-Burman, steepest ascent and Box-Behnken experimental designs. The optimal medium formulation, as predicted from the equation, consisted of 33.65 g/L sucrose, 0.4 g/L yeast extract, 1.6 g/L NH4C1, 15 g/L monosodium glutamate, 0.4 g/L KH2PO4, 1.68 g/L K2HPO4·3H2O, 0.1 g/L MgSO4·7H2O and 0.04 g/L MnSO4·H2O. The yield of poly-γ-glutamic acid reached 16.63 g/L, which was 20% higher than before the optimization, and the conversion rate of the substrate glutamate reached 100% by using the optimized medium at 40.2 ℃ with shaking at a speed of 160 r/rain for 22 h.

关 键 词：Γ-聚谷氨酸 枯草芽孢杆菌 响应面分析 发酵培养基 

分 类 号：TS201.3[轻工技术与工程—食品科学]