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基于遗传算法的木糖醇发酵培养基优化研究 被引量:9

MEDIUM OPTIMIZATION FOR PRODUCTION OF XYLTIOL BY GENETIC ALGORITHMS
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摘要 运用遗传算法 ,对利用莫格假丝酵母由木糖生产木糖醇的发酵培养基优化进行研究。用 40个实验样本完成了 6种培养基成份、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份含量 ,取得更好的发酵效果。按照优化后的培养基组成 ,由 50 g/L木糖获得了 2 9.7g/L木糖醇 ,比优化前提高5.7%。 Medium optimization of the batch fermentation for producing xylitol from D xylose by Candida mogii using genetic algorithms (GA) was studied. The 50 concentration levels of 6 medium components were optimized within 40 experiments. The results showed that GA can be applied in the medium optimization and better results were obtained. Employing optimized medium composition, a final xylitol concentration of 29.7 g/L was obtained from 50 g/L xylose, and it was improved by 3.5% compared to the results with the medium before optimization. [WT5HZ]
出处 《化学反应工程与工艺》 CAS CSCD 北大核心 2000年第2期122-126,共5页 Chemical Reaction Engineering and Technology
基金 国家自然科学基金!资助项目 ( 2 97760 2 5) 福建省自然科学重点项目资助!项目 ( C960 68)
关键词 木糖醇 发酵 培养基优化 遗传算法 xylose xylitol medium genetic algorithms
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