title: [Genetic algorithm for fermentation kinetics of submerged fermentation by Morchella].
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.
authors.affiliation: College of Food Science and Technology, Qingdao Agricultural University, Qingdao 266109, China. wylyac@163.com
authors.forename: Ying
authors.initials: Y
authors.lastname: Wang
authors.forename: Meizi
authors.initials: M
authors.lastname: Piao
authors.forename: Yonghai
authors.initials: Y
authors.lastname: Sun
mesh_terms: D000465:Algorithms; D001203:Ascomycota / Q000254:growth & development* / Q000378:metabolism*; D003470:Culture Media; D005285:Fermentation; D007700:Kinetics; D008954:Models, Biological
chemical_list: D003470:Culture Media