Huang G, Okabe M, Kahar P, Tsunekawa H, Park Y
United Graduate School of Agricultural Science, Gifu University, 1-1 Yanagido, Gifu 501-1193, Japan.
J Biosci Bioeng. 2001;91(5):504-8. doi: 10.1263/jbb.91.504.
An optimal feed rate profile of a substrate (tylosin) for a novel antibiotic, acetyl-isovaleryl tylosin (AIV) production process was investigated. In the first step of optimization, a kinetic model for production of AIV from tylosin by Streptomyces thermotolerans was established properly using the least square method, followed by the confirmation that the proposed model could be used to predict the production process of AIV from tylosin. An objective function, state equations and an inequality constraint with respect to the tylosin feeding rate profile were applied to maximize the amount of AIV produced from tylosin in a fed-batch culture. The optimized tylosin feeding rate profile was determined using a direct iterative search algorithm based on the modified complex method. The simulation of AIV production at the optimal tylosin feeding profile indicates that the final amount of AIV is expected to be about 30% higher than that at the conventional constant tylosin feeding rate, which was also confirmed experimentally using a 30-l jar fermentor.
研究了用于新型抗生素乙酰异戊酰泰乐菌素(AIV)生产过程的底物(泰乐菌素)的最佳进料速率曲线。在优化的第一步中,使用最小二乘法正确建立了耐热链霉菌由泰乐菌素生产AIV的动力学模型,随后确认所提出的模型可用于预测由泰乐菌素生产AIV的过程。应用了关于泰乐菌素进料速率曲线的目标函数、状态方程和不等式约束,以在补料分批培养中使由泰乐菌素生产的AIV量最大化。使用基于改进复合方法的直接迭代搜索算法确定了优化的泰乐菌素进料速率曲线。在最佳泰乐菌素进料曲线下对AIV生产的模拟表明,AIV的最终产量预计比传统的恒定泰乐菌素进料速率下的产量高约30%,这也通过使用30升罐式发酵罐进行的实验得到了证实。