响应面法在紫杉醇产生菌发酵前体优化中的应用

采用响应面法对美丽镰刀菌（Fusarium mairei K178）发酵合成紫杉醇途径中一些可能的前体进行优化研究。首先采用Plackett-Burman法对8个因素进行了筛选，结果表明，苯丙氨酸，苯甲酸钠和乙酸钠三个因素对紫杉醇产量影响较大。在此基础上，再通过Box-Behnken设计，利用Design-Expert软件进行二次回归分析，得到各因素的最佳浓度为：苯丙氨酸2.8mg/L,苯甲酸钠31.8mg/L,乙酸钠3.3g/L。在优化条件下紫杉醇的产量达到242.6μg/L，较前体单因素实验最高值提高15.6%。

Application of Response Surface Methodology in Optimization of Precursors for Taxol Production by Fusarium mairei K178

The concentration of precursors for the production of taxol with Fusarium mairei K178 was optimized by response surface methodology. Firstly, Plackett-Burman design was undertaken to evaluate the effects of eight factors. With statistic regression analysis, the significant factors affecting taxol production were determined as follows: phenylalanine, sodium acetate and sodium benzoate. Box-Behnken design was used to optimize the three critical internal factors mentioned above, and we found out the optimum concentration levels and the relationships among these factors. By quadratic regression model equation with Design-Expert statistic methods, the optimal concentration of the variables were determined as: phenylalanine 2.8mg/L, sodium acetate 3.3g/L, sodium benzoate 31.8mg/L. Under such conditions, the taxol production was increased to 242.6μg/L, which was 15.6% higher than the maximum value in the single factor tests. The experiment values under the optimal conditions agreed with the predicted values, which indicated that the model was proper and effective.