scholarly journals Evolutionary optimization of a fed-batch penicillin fermentation process

Author(s):  
Hongwei Zhang ◽  
Ze Zhang ◽  
Le Hung Lan
2018 ◽  
Vol 51 (32) ◽  
pp. 130-135
Author(s):  
Chi Zhai ◽  
Tong Qiu ◽  
Ahmet Palazoglu ◽  
Wei Sun

2021 ◽  
Vol 26 (2) ◽  
pp. 2464-2470
Author(s):  
ANCA-IRINA GALACTION ◽  
◽  
ALEXANDRA CRISTINA BLAGA ◽  
ALEXANDRA TUCALIUC ◽  
LENUŢA KLOETZER ◽  
...  

The previous studies on ergosterol production by Saccharomyces cerevisiae in presence of n-dodecane as oxygen-vector have been continued by mathematical modelling the fermentation process. In this purpose, the most efficient fermentation regime has been considered, namely fed-batch fermentation, and was based on the influences of hydrocarbon volumetric fraction, biomass concentration, and aeration rate on the ergosterol content inside the yeast cells. The model describing the fermentation process has been established by means of the statistical analysis, using a factorial experiment of second order. The considered variables control the ergosterol production in a 94.4% extent, the biomass concentration exhibiting the most important influence.


Author(s):  
Gustavo B. Libotte ◽  
Fran S. Lobato ◽  
Gustavo M. Platt ◽  
Francisco D. Moura Neto

The determination of optimal feeding profile of fed-batch fermentation requires the solution of a singular optimal control problem. The complexity in obtaining the solution to this singular problem is due to the nonlinear dynamics of the system model, the presence of control variables in linear form and the existence of constraints in both the state and control variables. Traditionally, during the optimization process, uncertainties associated with design variables, control parameters and mathematical model are not considered. In this contribution, a systematic methodology to evaluate uncertainties during the resolution of a singular optimal control problem is proposed. This approach consists of the Multi-objective Optimization Differential Evolution algorithm associated with Effective Mean Concept. The proposed methodology is applied to determine the feed substrate concentration in fed-batch penicillin fermentation process. The robust multi- objective singular optimal control problem consists of maximizing the productivity and minimizing the operation total time.


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