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响应面法优化保加利亚乳杆菌发酵米胚芽培养基

Medium optimization of GABA production by response surface analysis
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摘要 采用响应面法优化保加利亚乳杆菌发酵米胚芽培养基。首先通过两水平设计的Plackett-Burman实验分析8种因素对γ-氨基丁酸(γ-aminobutyric acid,GABA)产量的影响,确定培养基中玉米浆干粉、玉米淀粉、菊粉对发酵液中GABA含量影响最显著(p<0.05)。然后通过响应面分析得到的最佳回归方程确定了培养基最佳配比:玉米浆干粉1.3%,玉米淀粉1.8%,菊粉1.2%,在此条件下发酵液中GABA含量为3.15g/L。 Response surface method was used to optimize Lb. bulgaricus of medium rice germ. In the first step, two level factorial design of Plackett-Burman was used to evaluate the influence of eight related factors for content of γ-aminobutyric acid. The results showed that the effects of corn steep powder,corn starch,inulin on the activities content of γ-aminobutyriccellulase were significant(p〈0.05). In the follow step,the optimal conditions of the three factors were assessed by the response surface. The best ratio of culture medium was corn steep powderl.3%,corn starch1.8%,inulin 1.2%. Under these conditions,the GABA content in fermentation liquid was 3.15g/L.
出处 《食品工业科技》 CAS CSCD 北大核心 2013年第18期284-287,共4页 Science and Technology of Food Industry
基金 淮安市科技局科研项目(SN1152)
关键词 大米胚芽 Γ-氨基丁酸 响应面 培养基 rice germ γ-aminobutyric acid response surface methodoloqy culture medium
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