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Application of Response Surface Methodology in Optimization of Precursors for Taxol Production by Fusarium mairei K178 |
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Abstract 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.
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Received: 31 July 2007
Published: 25 November 2007
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