Loading...

Simulation of Saccharomyces Cerevisiae Batch Culture Behavior Using Dynamic Flux Analysis and Nonlinear Objective Functions

Ershadian Arani, Hamid | 2022

1002 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 55243 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Farhadi, Fathollah; Pishvaei, Mahmoud Reza
  7. Abstract:
  8. There are many limitations to determine relationships within biological systems. Among the limitations of these systems, one can consider the lack of sufficient information about them, such as the complete knowledge of many networks, the lack of reaction information, the complexity of the analysis of these reactions, etc. One of the methods to analyze these systems is called flux balance analysis. This method consists of three parts: objective function, equal constraints and unequal constraints. Among the features available in this method, we can mention less need for experimental information and no need for high processing systems. In order to determine the objective functions in this method, several models have been proposed, including the production and growth of biological systems as the objective. Other factors such as the minimization of the Gibbs free energy of reactions, or the materials of products produced in the process have also been proposed in a few processes, which were not used due to the lack of access to information. In this thesis, by considering the growth function as a goal in this optimization method, by choosing a sample biological case (yeast S. cerevisiae) it has been tried to examine other cases as the goal function and the effects It should be checked in the results of comparison simulations and experimental data. By comparing the results obtained for two cases considered in different conditions for yeast S. cerevisiae, it can be said that using the objective function max⁡〖v_X/v_S 〗 has better results than using the maximum production of mass biomass for both cases. In the first case, the max X function also has a good result, while this is not the case for the other objective functions in both cases. By comparing the obtained simulation results with the experimental results (for S. Cerevisiae yeast) considering the function max⁡〖v_X/v_S 〗, the concentration of ethanol has reached 7.1 gr/lit, which compared to other objective functions selected to the data Experimental (8.2 gr/lit) is much closer
  9. Keywords:
  10. Nonlinearly Constrained Optimization ; Objective Function ; Saccharomyces Cerevisiae ; Biological Systems ; Flux Balance Analysis Method

 Digital Object List

 Bookmark

...see more