Download Bioreactors : animal cell culture control for bioprocess by Goutam Saha, Alok Barua, Satyabroto Sinha PDF
By Goutam Saha, Alok Barua, Satyabroto Sinha
Bioreactors: Animal mobilephone tradition keep watch over for Bioprocess Engineering offers the layout, fabrication, and keep watch over of a brand new kind of bioreactor intended in particular for animal cellphone line tradition. the recent bioreactor, referred to as the "see-saw bioreactor," is perfect for the expansion of cells with a delicate membrane. The see-saw bioreactor derives its identify from its precept of operation during which liquid columns in both limb of the reactor alternately move up and down. The operating quantity of the reactor is small, to inside of 15 L. even though, it may well simply be scaled up for giant creation in quantity of telephone mass within the drug and pharmaceutical industries.
The authors describe the main of operation of the see-saw bioreactor and the way to instantly regulate the bioprocess. They speak about assorted regulate options in addition to the thorough experimental study they carried out in this prototype bioreactor within which they utilized a time hold up keep an eye on for yield maximization.
To offer you a whole figuring out of the layout and improvement of the see-saw bioreactor, the authors conceal the mathematical version they use to explain the kinetics of fermentation, the genetic algorithms used for deriving the optimum time trajectories of the bioprocess variables, and the corresponding keep watch over inputs for maximizing the product yield. One bankruptcy is dedicated to the applying of time hold up keep watch over. Following an outline of the bioreactor’s operating setup within the laboratory, the authors sum up their research and outline the long run scope of labor when it comes to layout, regulate, and software program sensors.
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Extra resources for Bioreactors : animal cell culture control for bioprocess engineering
A combination of different operating modes , along with optimized flow rates, KLa, and so forth, has been used in the simulation experiment. The optimization is based on GAs  with suitable alterations for adaptation to bioprocess optimization. It has been found that considerable improvement is possible by the above two combinations. Development of the bioprocess model is a prerequisite for simulation. In Chapter 3, formulation of the bioprocess model has been presented and the different possible operating modes of the bioreactor have been listed.
10–3 10 Hour 15 20 15 20 SCP conc. 17 Optimum time profiles of SCP fermentation process under op-mode 4. Cell mass conc. 02 0 10 0 5 10 Hour 15 38 36 20 Oxygen conc. × 10–3 0 5 10 Hour 15 20 15 20 SCP conc. 06 g/L g/L 39 37 8 6 4 2 Substrate conc. 18 Optimum time profiles of SCP fermentation process under op-mode 3.
4 10 Hour 20 0 30 X11 vs. 6 Hour 20 30 X12 vs. 2 0 0 Oin vs. 5 Optimum control input profiles of SCP fermentation process under op-mode 9. 4 × 10–3 X13 vs. time 5 4 2 g/L g/L 3 1 0 X14 vs. 6 Optimum control input profiles of SCP fermentation process under op-mode 9. the set value of error smaller and smaller, it is possible to obtain near-optimal results, and the results become independent of the seed. It will be very difficult to solve the problem by known classical techniques. As the result becomes independent of seed, the result obtained tends to be the global maximum.