蜡状芽孢杆菌产中性蛋白酶发酵条件的优化
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(1. 青岛科技大学化工学院,山东 青岛 266061;2. 广东海洋大学食品科技学院,广东 湛江 524088;3.青岛科技大学化学与分子工程学院,山东 青岛 266061)

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解万翠(1969—),青岛科技大学教授,博士。E-mail:xiewancui@163.com

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现代农业产业技术体系建设专项资金资助项目(编号:GARS-47)


Response surface methodology optimization of fermentation conditions
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(1.College of Chemical Engineering, Qingdao University of Science & Technology, Qingdao, Shandong 266061, China; 2. College of Food Science and Technology, Guangdong Ocean University, Zhanjiang, Guangdong 524088, China; 3. College of Chemistry and Molecular Engineering, Qingdao University of Science & Technology, Qingdao, Shandong 266061, China)

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    摘要:

    为提高蜡状芽孢杆菌(Bacillus cereus)发酵产蛋白酶的能力,对发酵培养基组成及培养条件进行优化。通过单因素试验研究最适C源及其添加量、最适N源及其添加量、温度、种龄、摇床转速、装液量、pH、时间、接种量等条件对菌株产蛋白酶的影响。在此基础上,利用正交试验设计从9个影响因素中筛选3个主要影响因素,即蛋白胨添加量、温度和装液量;再利用Box-Behnken试验设计进行响应面分析,最终确定蜡状芽孢杆菌发酵产酶条件的最优条件为:蛋白胨添加量7.9 g/L,温度26.7 ℃,装液量56.4 mL。优化后,蛋白酶活力达到753.67 U/mL,比初始蛋白酶活力(249.50 U/mL)提高了2.02倍。

    Abstract:

    In order to improve the production of protease from Bacillus cereus, the fermentation medium composition and culture conditions were optimized. By single factor experiment, the effects were studied, including the optimum additions of carbon and nitrogen sources, the adding amounts, fermentation temperature, inoculation age, shaking speed, medium volume, medium initial pH, fermentation time, and inoculation amount on protease production. On this basis, Plackett-Burman was to evaluate the effects of nine variables, and selected significant factors, namely peptone addition amount, fermentation temperature and medium volume. The optimal fermentation condition was obtained by Box-Behnken and response surface analysis. The optimal conditions of peptone addition amount, fermentation temperature and medium volume were 7.9 g/L, 26.7 ℃ and 56.4 mL, respectively. Under the optimal conditions, the protease activity was up to 753.67 U/mL, 2.02 times higher than the initial protease activity (249.50 U/mL).

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解万翠,杨亚东,杨锡洪,等.蜡状芽孢杆菌产中性蛋白酶发酵条件的优化[J].食品与机械,2016,32(1):26-30.
XIEWancui, YANGYadong, YANGXihong, et al. Response surface methodology optimization of fermentation conditions[J]. Food & Machinery,2016,32(1):26-30.

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  • 收稿日期:2015-09-03
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  • 在线发布日期: 2023-02-26
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