A multi-objective micro-scale optimization strategy for fermentation processes was proposed to achieve optimal operation on the basis of a dynamic metabolic flux analysis (DMFA) model. According to different dynamic characteristics
the strategy divided a fermentation process into two stages of cell growth and product synthesis
in which objective functions and constraints were designed from micro metabolic flux and pathways. Multi-objective particle swarm optimization (MOPSO) was employed as key algorithm to find operation trajectory. The strategy was applied to simulation of penicillin fermentation for optimizing acceleration rate of feed stock and pH trajectory. The results showed that terminal product concentration was increased by 3.26% and total feed amount was decreased by 0.6 L
Expression optimization of heterologous CYP450 enzyme promotes the synthesis of ursolic acid in engineering Saccharomyces cerevisiae
Effects of substitution of ER domains on the synthesis of eicosapentaenoic acid in Schizochytrium limacinum SR21
Estimation of microbial metabolic state based on hybrid cybernetic model
Carbon source analysis, mutagenesis and kinetics of Serratia marcescens producing prodigiosin
Sub-culturing of novel Blautia coccoides GA-1 and acetate synthesis from H2/CO2 in subcultures
Related Author
NA Xuemei
WANG Yu
JIANG Yaozhu
JIA Nan
WANG Ying
LI Chun
Ruixiong YANG
Xin ZHENG
Related Institution
Key Laboratory of Medical Molecule Science and Pharmaceutical Engineering, Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology
Key Laboratory for Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University
College of Chemistry and Chemical Engineering, Xiamen University
Fujian Collaborative Innovation Center for Exploitation and Utilization of Marine Biological Resources
The Key Laboratory for Chemical Biology of Fujian Province (Xiamen University)