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响应曲面法优化辅酶Q10产生菌发酵培养基[J]. 食品工业科技, 2012, (18): 186-189. DOI: 10.13386/j.issn1002-0306.2012.18.030
引用本文: 响应曲面法优化辅酶Q10产生菌发酵培养基[J]. 食品工业科技, 2012, (18): 186-189. DOI: 10.13386/j.issn1002-0306.2012.18.030
Optimization of fermentation medium of coenzyme Q10-producing strain using response surface methodology[J]. Science and Technology of Food Industry, 2012, (18): 186-189. DOI: 10.13386/j.issn1002-0306.2012.18.030
Citation: Optimization of fermentation medium of coenzyme Q10-producing strain using response surface methodology[J]. Science and Technology of Food Industry, 2012, (18): 186-189. DOI: 10.13386/j.issn1002-0306.2012.18.030

响应曲面法优化辅酶Q10产生菌发酵培养基

Optimization of fermentation medium of coenzyme Q10-producing strain using response surface methodology

  • 摘要: 以辅酶Q10产生菌R-SL15为实验菌株,为提高其辅酶Q10产量,对其进行培养基优化,得到最优发酵培养基。采用Plackett-Burman实验设计和Box-Behnken响应面分析方法对R-SL15的培养基进行优化模型的建立,得出最优发酵培养基为:葡萄糖18.90g/L,酵母粉5.54g/L,(NH4)2SO40.98g/L,KH2PO40.95g/L,牛肉膏6g/L,MgSO4.7H2O0.75g/L,FeSO4.7H2O100mg/L,NaCl10g/L,蒸馏水1L。辅酶Q10产量为51.31mg/L,比优化前的25.74mg/L提高了99.34%。该回归模型高度显著(R2=0.9423),拟合性好,可用于预测。 

     

    Abstract: In order to increase the prodution of coenzyme Q10, coenzyme Q10-producing strain R-SL15 was used to obtain from the optimum fermentation medium.Plackett-Burman design and Box-Behnken response surface methodology (RSM) was used to optimize medium for coenzyme Q10 biosynthesis.According to the RSM analysis on the data of Box-Behnken design, optimal fermentation conditions for the highest coenzyme Q10 content in fermentation medium were set at glucose content of 18.90g/L, yeast extract content of 5.54g/L, (NH4) 2SO4 content of 0.98g/L、KH2PO4 content of 0.95g/L, beef extract content of 6g/L, MgSO4·7H2O content of 0.75g/L, FeSO4·7H2O content of 100mg/L, NaCl content of 10g/L and distilled water of 1L.Under the optimal conditions, coenzyme Q10 content produced by R-SL15 could reach to 51.31mg/L, which was 99.34% higher than that of non-optimized medium which was 25.74mg/L.The regression model was highly significant (R2=0.9423) and showed good fitness to the experimental data, and it could be used to predict.

     

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