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[羊肚菌深层发酵动力学的遗传算法]

[Genetic algorithm for fermentation kinetics of submerged fermentation by Morchella].

作者信息

Wang Ying, Piao Meizi, Sun Yonghai

机构信息

College of Food Science and Technology, Qingdao Agricultural University, Qingdao 266109, China.

出版信息

Sheng Wu Gong Cheng Xue Bao. 2008 Aug;24(8):1454-7.

PMID:18998550
Abstract

Fermentation kinetics is important for optimizing control and up-scaling fermentation process. We studied submerged fermentation kinetics of Morchella. Applying the genetic Algorithm in the Matlab software platform, we compared suitability of the Monod and Logistic models, both are commonly used in process of fungal growth, to describe Morchella growth kinetics. Meanwhile, we evaluated parameters involved in the models for Morchella growth, EPS production and substrate consumption. The results indicated that Logistic model fit better with the experimental data. The average error of this model was 5.8%. This kinetics model can be useful for optimizing and up-scaling fungal fermentation process.

摘要

发酵动力学对于优化发酵过程的控制和放大至关重要。我们研究了羊肚菌的深层发酵动力学。在Matlab软件平台上应用遗传算法,我们比较了常用于真菌生长过程的Monod模型和Logistic模型对羊肚菌生长动力学的适用性。同时,我们评估了模型中涉及羊肚菌生长、胞外多糖产生和底物消耗的参数。结果表明,Logistic模型与实验数据拟合得更好。该模型的平均误差为5.8%。这种动力学模型可用于优化和放大真菌发酵过程。

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