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通过响应面法对培养基成分进行统计优化以提高[具体菌株]产甲基萘醌-7(维生素K₂)的产量

Statistical Optimization of Medium Components by Response Surface Methodology to Enhance Menaquinone-7 (Vitamin K₂) Production by .

作者信息

Wu Wei-Jie, Ahn Byung-Yong

机构信息

Institute of Food Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang 310021, P.R. China.

Key Laboratory of Post-Harvest Handling of Fruits, Ministry of Agriculture, Hangzhou, Zhejiang 310058, P.R. China.

出版信息

J Microbiol Biotechnol. 2018 Jun 28;28(6):902-908. doi: 10.4014/jmb.1801.01042.

DOI:10.4014/jmb.1801.01042
PMID:29642291
Abstract

Optimization of the culture medium to maximize menaquinone-7 (MK-7) production by strain KCTC 12392BP in static culture was carried out using statistical experimental methods, including one factor at a time, fractional factorial design, and response surface methodology (RSM). Maltose (carbon source), tryptone (nitrogen source), and glycerol (activator) were identified as the key medium components for MK-7 synthesis by the fractional factorial design, and were selected for statistical optimization by RSM. The statistical analysis indicated that, in the range that was studied, maltose, tryptone, and glycerol were all critical factors having profound effects on the production of MK-7, with their coefficients for linear and quadratic all significant at the < 0.05 level. The established model was efficient and feasible, with a determination coefficient (²) of 0.9419. The predicted concentrations of maltose, tryptone, and glycerol in the optimal medium were determined as 36.78, 62.76, and 58.90 g/l, respectively. In this optimized medium, the maximum yield of MK-7 reached a remarkably high level of 71.95 ± 1.00 μg/ml after 9 days of static fermentation, which further verified the practicability of this optimized strategy.

摘要

采用统计实验方法,包括一次一因子法、分式析因设计和响应面法(RSM),对培养基进行优化,以在静态培养条件下使菌株KCTC 12392BP的甲基萘醌-7(MK-7)产量最大化。通过分式析因设计确定麦芽糖(碳源)、胰蛋白胨(氮源)和甘油(激活剂)为MK-7合成的关键培养基成分,并选择它们通过响应面法进行统计优化。统计分析表明,在所研究的范围内,麦芽糖、胰蛋白胨和甘油都是对MK-7产量有深远影响的关键因素,其线性和二次项系数在<0.05水平上均具有显著性。所建立的模型有效且可行,决定系数(²)为0.9419。优化培养基中麦芽糖、胰蛋白胨和甘油的预测浓度分别确定为36.78、62.76和58.90 g/l。在这种优化培养基中,静态发酵9天后,MK-7的最大产量达到了71.95±1.00μg/ml的极高水平,这进一步验证了这种优化策略的实用性。

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