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Determination of time course of microbial specific growth rate using mathematical model and genetic algorithm

Ling Gao, Yutian Lin, Huibin Lin, Yilin Ren, Xiaoyi Jia, Jianqun Lin, Jianqiang Lin

The time course of specific growth rate ((t)) is essential in analyzing microbial growth characteristics and the relationships between growth and metabolites production. The conventional method for calculation of (t) is done by hand and has relatively large errors, which deters its applications. In this paper, a newmethod for calculation of(t) is developed using growthmathematicalmodel and genetic algorithmformodel parameter optimization. Thismethod is practical and efficient.