Bioreactors: Animal Cell Culture Control for Bioprocess Engineering (Hardcover)

Introduction
A new type of bioreactor
Bioreactor modeling and control
Organization of the book

Novel see-saw bioreactor
Construction and working of the see-saw bioreactor
Theoretical modeling and simulation
Oxygen transfer to the falling film
Oxygen transfer to the flat surface
Total oxygen transfer in the bioreactor
Experiments to verify the modeling
Discussion of the results
Future scope of work

Simulation of bioprocess and development of BIPROSIM: A general purpose simulation program
Mathematical formulation of the bioprocess
Modes of operation
Adoption in the model parameters
The algorithm of BIPROSIM
Sample run

Dynamic optimization of a bioprocess using genetic algorithm
Historical background
Bioprocess model development
Application of genetic algorithm for control input optimization
Explanation of the application of GA
Algorithm 4.1
Flowchart of Algorithm 4.1
Subroutine "Child"
Subroutine "Mutate"
Algorithm 4.2
Flowchart of Algorithm 4.2
Results of the application of GA

Bioprocesses and time delay control
The problem of bioprocess control
Development of dynamic model
Time delay control
Time delay controller as bioprocess controller
Observer design
PID controllers for bioprocess control
Simulation results and discussions

Experimentation on the bioreactor
Instrumentation
Experimentation
Presentation of experimental results
Comparison between experimental and theoretical results
Summary

General conclusion and future scope of research
Overview of the work
General conclusion
Future scope of research
References
Appendix: Environmental control and sterilization of the bioreactor