title: Modeling and parameters identification of 2-keto-L-gulonic acid fed-batch fermentation.
abstract: This article presents a modeling approach for industrial 2-keto-L-gulonic acid (2-KGA) fed-batch fermentation by the mixed culture of Ketogulonicigenium vulgare (K. vulgare) and Bacillus megaterium (B. megaterium). A macrokinetic model of K. vulgare is constructed based on the simplified metabolic pathways. The reaction rates obtained from the macrokinetic model are then coupled into a bioreactor model such that the relationship between substrate feeding rates and the main state variables, e.g., the concentrations of the biomass, substrate and product, is constructed. A differential evolution algorithm using the Lozi map as the random number generator is utilized to perform the model parameters identification, with the industrial data of 2-KGA fed-batch fermentation. Validation results demonstrate that the model simulations of substrate and product concentrations are well in coincidence with the measurements. Furthermore, the model simulations of biomass concentrations reflect principally the growth kinetics of the two microbes in the mixed culture.
authors.affiliation: Department of Automation, Shanghai Jiao Tong University, and the Key Laboratory of System Control and Information Processing, Ministry of Education of China, 800 Dongchuan Road, Shanghai, 200240, China, wangtaovc@163.com.
authors.forename: Tao
authors.initials: T
authors.lastname: Wang
authors.forename: Jibin
authors.initials: J
authors.lastname: Sun
authors.forename: Jingqi
authors.initials: J
authors.lastname: Yuan
mesh_terms: D000465:Algorithms; D020561:Alphaproteobacteria / Q000378:metabolism*; D001410:Bacillus megaterium / Q000378:metabolism; D061249:Batch Cell Culture Techniques; D018533:Biomass; D019149:Bioreactors; D003198:Computer Simulation; D005285:Fermentation; D007218:Industrial Microbiology; D007700:Kinetics; D053858:Metabolic Networks and Pathways; D041902:Rhodobacteraceae / Q000254:growth & development; D013400:Sugar Acids / Q000737:chemistry*
chemical_list: D013400:Sugar Acids; C011491:provitamin C