基于遗传算法的木糖醇发酵培养基的优化 |
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引用本文: | 陈宏文,方柏山,谢晓兰 胡宗定.基于遗传算法的木糖醇发酵培养基的优化[J].食品与生物技术学报,2001,20(1):20-23. |
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作者姓名: | 陈宏文 方柏山 谢晓兰 胡宗定 |
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作者单位: | 1. 华侨大学化工学院, 2. 天津大学化工学院, |
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基金项目: | 国家自然科学基金(29776025)和生物反应器工程国家重点实验室开发项目资助课题. |
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摘 要: | 运用遗传算法,利用莫格假丝酵母由木糖生产木糖醇的发酵培养基进行优化,用40个实验样本完成了6种培养基成分、50个浓度水平的优化任务.实验结果表明利用遗传算法可优化培养基成分含量,取得更好的发酵效果.按照优化后的培养基组成,由50g/L木糖获得了29.7g/L木糖醇,理论转化率为65.1%,比优化前提高了3.5%.
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关 键 词: | 木糖 木糖醇 培养基 遗传算法 |
文章编号: | 1009-038X(2001)01-0020-04 |
修稿时间: | 1999年12月23 |
Medium Optimization for
Production of Xylitol by Genetic Algorithms |
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Abstract: | Medium optimization of the batch fermentation for producingxylitol from D-xylose by Candida mogii using genetic algorithms(GA) is studied. The 50 concentration levels of 6 medium components are optimized within 40 experiments. The results show that GA can be applied in the medium optimization and better results are obtained. By employing optimized medium composition, a final xylitol concentration of 29.7 g/L is obtained from 50 g/L xylose with a theoretical yield of 65.1% of that is improved by 3.5% compared to the results with the medium before optimization. |
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