title: Optimization of a low-cost hyperosmotic medium and establishing the fermentation kinetics of erythritol production by Yarrowia lipolytica from crude glycerol.
abstract: The production of erythritol by Yarrowia lipolytica from low-cost substitutable substrates for high yield was investigated. Crude glycerol, urea, and NaCl related to osmotic pressure were the most significant factors affecting erythritol production. An artificial neural network model and genetic algorithm were used to search the optimal composition of the significant factors and locate the resulting erythritol yield. Medium with 232.39 g/L crude glycerol, 1.57 g/L urea, and 31.03 g/L NaCl led to predictive maximum erythritol concentration of 110.7 g/L. The erythritol concentration improved from 50.4 g/L to 109.2 g/L with the optimized medium, which was reproducible. Erythritol fermentation kinetics were investigated in a batch system. Multistep fermentation kinetic models with hyperosmotic inhibitory effects were developed. The resulting mathematical equations provided a good description of temporal variations such as microbial growth (X), substrate consumption (S), and product formation (P) in erythritol fermentation. The accordingly derived model is the first reported model for fermentative erythritol production from glycerol, providing useful information to optimize the growth of Y. lipolytica and contributing visual description for the erythritol fermentation process under high osmotic pressure, as well as improvement of productivity and efficiency.
authors.affiliation: a Key Laboratory of Carbohydrate Chemistry and Biotechnology of Ministry of Education , School of Biotechnology, Jiangnan University , Wuxi , Jiangsu , China.
authors.forename: Li-Bo
authors.initials: LB
authors.lastname: Yang
authors.affiliation: a Key Laboratory of Carbohydrate Chemistry and Biotechnology of Ministry of Education , School of Biotechnology, Jiangnan University , Wuxi , Jiangsu , China.
authors.forename: Xiao-Bei
authors.initials: XB
authors.lastname: Zhan
authors.affiliation: b Jiangsu Rayguang Biotechnology Co., Ltd. , Wuxi , Jiangsu , China.
authors.forename: Li
authors.initials: L
authors.lastname: Zhu
authors.affiliation: a Key Laboratory of Carbohydrate Chemistry and Biotechnology of Ministry of Education , School of Biotechnology, Jiangnan University , Wuxi , Jiangsu , China.
authors.forename: Min-Jie
authors.initials: MJ
authors.lastname: Gao
authors.affiliation: a Key Laboratory of Carbohydrate Chemistry and Biotechnology of Ministry of Education , School of Biotechnology, Jiangnan University , Wuxi , Jiangsu , China.
authors.forename: Chi-Chung
authors.initials: CC
authors.lastname: Lin
mesh_terms: D003470:Culture Media; D004896:Erythritol / Q000096:biosynthesis*; D005285:Fermentation; D005990:Glycerol / Q000378:metabolism*; D007700:Kinetics; D009994:Osmolar Concentration; D025062:Yarrowia / Q000378:metabolism*
chemical_list: D003470:Culture Media; D005990:Glycerol; D004896:Erythritol
keywords: Artificial neural network; Yarrowia lipolytica; erythritol; genetic algorithm; kinetic modeling; optimization