Optimization of Enzymatic Resolution Technique of Glycidyl Butyrate via Response Surface Methodology
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    Abstract:

    Our previous work has indicated that enzymatic resolution of glycidyl butyrate are strongly affected by many factors, including concentration of substrate, amount of lipase, the temperature, pH, shaking speed and reaction time. In this study, Plackett-Burman design was undertaken to evaluate the effects of the six factors. By regression analysis, concentration of substrate, amount of lipase and the temperature were found to be important for enzymatic resolution of glycidyl butyrate. In the second phase of the optimization process, a response surfacemethodology(RSM) was used to optimize the above critical factors, and to find out the optimal concentration levels and the relationships between these factors. By solving the quadratic regression model equation using appropriate statistic methods, the optimal parameter of the variables were determined as: 0.499 mol/L glycidyl butyrate, 30.23 mg/g lipase and 29.68oC. In the optimum condition, the value of enantiomeric excess(ee%) was 93.28%. Compared to 84.65% which was the maximum ee% under the non-optimized condition, this study has a significant advancement. The experimental data under various conditions have validated the theoretical values.

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钱俊青,周文武,匡春兰. 响应面法优化丁酸缩水甘油酯的酶法拆分工艺[J]. Chinese Journal of Biotechnology, 2008, 24(6): 1062-1067

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  • Received:March 08,2008
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