Mathematical Modeling of a Biotechnological Continuous Fermentation Process for Lactic Acid Production: A Review

2021 ◽  
Vol 55 (6) ◽  
pp. 1192-1203
Author(s):  
E. L. Gordeeva ◽  
L. V. Ravichev ◽  
A. G. Borodkin ◽  
Yu. L. Gordeeva
2019 ◽  
Vol 53 (4) ◽  
pp. 501-508
Author(s):  
Yu. L. Gordeeva ◽  
A. G. Borodkin ◽  
E. L. Gordeeva ◽  
E. G. Rudakovskaya

2020 ◽  
Author(s):  
Ying Wang ◽  
Ka-Lai Chan ◽  
Mohamed Ali Abdel-Rahman ◽  
Kenji Sonomoto ◽  
Shao-Yuan Leu

Abstract Background: Simultaneous and effective conversion of both pentose and hexoses in fermentation is a critical and challenging task toward the lignocellulosic economy. This study aims to investigate the feasibility of an innovative co-fermentation process featured with cell recycle unit (CF/CR) for mixed sugar utilization. A l-lactic acid producing strain Enterococcus mundtii QU 25 was applied in the continuous fermentation process to utilize the mixed sugar at different productivities over the changes of flowing conditions. Structured numerical platform were constructed with the experiments to optimize the biological process and clarify the cell metabolisms through kinetics analysis. The structured model, kinetic parameters, and achievement of the fermentation strategy shall provide new insights towards whole sugar fermentation via real-time monitoring for process control and optimization.Results: Significant carbon catabolite repression of co-fermentation using glucose/xylose mixture was overcome by replacing glucose with cellobiose, of which the consumption ratio of hexose to pentose was improved dramatically from 10.4:1 to 2.17:1. An outstanding product concentration of 65.15 g·L -1 and productivity of 13.03 g·L -1 ·h -1 were achieved with 50 g·L -1 cellobiose and 30 g·L -1 xylose, at an optimized dilution rate of 0.2 h -1 with gradually increased cell retention time. Among the total lactic acid production, xylose contributed to more than 34% of the mixed sugars, which was close to the related contents in agricultural residuals. The model successfully simulated the transition of sugar consumption, cell growth, and lactic acid production among the batch, continuous process, and CF/CR system.Conclusion: Cell retention time played a critical role in balancing pentose and hexose consumption, cell decay, and lactic acid production in the CF/CR process. With the increase of cell concentration, consumption of mixed sugars increased with the productivity of final products, hence the impacts of substrate inhibiting reduced. With the validated parameters, the model showed highest accuracy simulating the CF/CR process, of which significantly longer cell retention times over hydraulic retention time were tested.


2014 ◽  
Vol 65 (3) ◽  
pp. 1473-1480 ◽  
Author(s):  
Xuefeng Wu ◽  
Shaotong Jiang ◽  
Min Zhang ◽  
Shuizhong Luo ◽  
Xingjiang Li ◽  
...  

2021 ◽  
Vol 11 (7) ◽  
pp. 2921
Author(s):  
Rosa Colucci Cante ◽  
Marianna Gallo ◽  
Federica Nigro ◽  
Francesca Passannanti ◽  
Andrea Budelli ◽  
...  

The mathematical modeling of fermentation processes allows for the formulation of predictions about the kinetics of biomass growth and metabolite production as well as setting or verifying the best operative conditions in view of the economical convenience of the process. For this purpose, we performed a kinetic study of a rice flour fermentation process using Lactobacillus paracasei CBA L74 with and without pH control; the pH value was set to 5.8 under pH control. Monod, Logistic, and Contois models were proposed to describe the bacterial growth rate in both conditions. The best mathematical model, which was able to describe the experimental data obtained without pH control, was the Contois model, as the specific growth rate was influenced by both the glucose reduction (from 14.31 g/L to 10.22 g/L) and the biomass production (2 log growth) that occurred during fermentation. Conversely, when pH control was implemented, both Monod and Contois models satisfactorily described the specific growth rate trend. The estimated kinetic parameters confirmed that biomass production (2 log growth) and glucose consumption (from 14.31 g/L to 6.06 g/L) did not affect the microorganism’s growth capacity when the fermenting medium was maintained at an optimal pH. The lactic acid production rate described by the Luedeking–Piret model did not appear to be linked to growth in the absence of pH control while, on the other hand, this model was unsuitable for describing the experimental lactic acid concentration when pH control was applied. The kinetic modeling of lactic acid production and the percentage of added glucose in the protocol with controlled pH will be optimized in the future.


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