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解淀粉芽孢杆菌fmbj37产γ-聚谷氨酸发酵培养基的优化 被引量:4

Optimization of Fermentation Medium for Bacillus amyloliquefaciens fmbj37 to Produce Poly γ-Glutamic Acid
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摘要 为了提高解淀粉芽孢杆菌fmbj37产γ-聚谷氨酸的产量,采用响应面法优化其发酵培养基成分。首先用Plackett-Burman(PB)设计对培养基中9个组分的重要性进行评价,筛选出3个关键影响因素:蔗糖、谷氨酸钠和磷酸氢二钾。然后进行最陡爬坡实验确定最佳响应面区域,最后通过响应面分析得到蔗糖、谷氨酸钠和磷酸氢二钾的最佳浓度。结果表明,经优化得到的最佳培养基成分为:蔗糖115 g/L、谷氨酸钠59.35 g/L、磷酸氢二钾2.85 g/L、蛋白胨10 g/L、硫酸镁1.5 g/L、氯化钾1 g/L、硫酸亚铁0.0006 g/L、硫酸锰0.025 g/L、硫酸铜0.00064 g/L,在该培养基中γ-聚谷氨酸的产量达到(41.2±0.51)g/L,比优化前的5.2 g/L提高了6.9倍。 In order to improve the yield of polyγ-glutamic acid produced by Bacillus amyloliquefaciens fmbj37,the response surface methodology was performed to optimize the fermentation medium composition.Firstly,the importance of nine components of the medium was tested by Plackett-Burman(PB)experiments.Three critical factors related to the production of polyγ-glutamic acid,such as sucrose,sodium glutamate and dipotassium hydrogen phosphate,were selected based on the PB results.Then the concentration range of factors were carried out by the steepest climbing test.Finally,the optimal concentrations of sucrose,sodium glutamate and dipotassium hydrogen phosphate were determined by response surface analysis.The results showed that the optimal medium for producing polyγ-glutamic acid was composed of sucrose(115 g/L),sodium glutamate(59.35 g/L),dipotassium hydrogen phosphate(2.85 g/L),peptone(10 g/L),magnesium sulfate(1.5 g/L),potassium chloride(1 g/L),ferrous sulfate(0.0006 g/L),manganese sulfate(0.025 g/L)and copper sulfate(0.00064 g/L).In this medium,the yield of polyγ-glutamic acid reached(41.2±0.51)g/L,which was 6.9 times higher than before(5.2 g/L).
作者 盛洁 孟凡强 吕凤霞 赵海珍 张充 陆兆新 SHENG Jie;MENG Fan-qiang;LV Feng-xia;ZHAO Hai-zhen;ZHANG Chong;LU Zhao-xin(College of Food Science and Technology,Nanjing Agricultural University,Nanjing 210095,China)
出处 《食品工业科技》 CAS 北大核心 2019年第20期160-166,共7页 Science and Technology of Food Industry
基金 国家自然科学基金面上项目(31571887) 2016年度江苏省农业科技自主创新资金项目(CX(16)1058)
关键词 解淀粉芽孢杆菌 Γ-聚谷氨酸 发酵 培养基优化 响应面法 Bacillus amyloliquefaciens polyγ-glutamic acid fermentation medium optimization response surface methodology
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