Bioreactors : animal cell culture control for bioprocess by Goutam Saha, Alok Barua, Satyabroto Sinha

By Goutam Saha, Alok Barua, Satyabroto Sinha

Bioreactors: Animal cellphone tradition keep watch over for Bioprocess Engineering provides the layout, fabrication, and keep watch over of a brand new kind of bioreactor intended particularly for animal mobilephone line tradition. the recent bioreactor, known 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 pass up and down. The operating quantity of the reactor is small, to inside of 15 L. despite the fact that, it might probably simply be scaled up for giant creation in quantity of mobile 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 talk about diverse keep watch over techniques in addition to the thorough experimental study they carried out in this prototype bioreactor during which they utilized a time hold up regulate for yield maximization.

To offer you an entire realizing of the layout and improvement of the see-saw bioreactor, the authors disguise 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 appliance of time hold up regulate. 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 by way of layout, keep watch over, and software program sensors.

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Extra resources for Bioreactors : animal cell culture control for bioprocess engineering

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If r 3 = 0, the second to (r 2 + 1)th row of the control matrix is replaced by the partial control matrix. Otherwise, the control matrix is retained. 36 Anim al Cell Culture Control for Bioprocess Engineering If process variables like dissolved oxygen concentration and volume exceed the specified limit, the fitness value of the corresponding control input is set to a very low value (minus infinity). This helps in satisfying the state constraint. If the state constraint is still not met, the corresponding control input set is replaced.

5. 005 Cell mass conc. 25 30 Oxygen conc. 01 10 Hour 20 30 SCP conc. 002 0 Substrate conc. 5 SCP fermentation under given conditions in op-mode 6 using BIPROSIM. Simul ation of bioprocess and de velopment of BIPROSIM Cell mass conc. 02 g/L g/L Substrate conc. 5 0 10 Hour 20 Oxygen conc. 01 0 30 0 10 Hour 20 30 20 30 SCP conc. 6 SCP fermentation under chosen conditions in op-mode 6 using BIPROSIM. 6. If we run op-mode 9 and want to maximize BPV x(4) (­product concentration), the following sequence of operations has been calculated.

5 10 Hour Oin vs. 14 Optimum control inputs for SCP fermentation process under op-mode 6. 48 Anim al Cell Culture Control for Bioprocess Engineering X11 vs. 4 0 20 X13 vs. time × 10–3 0 5 10 Hour 15 20 15 20 X14 vs. 5 1 X12 vs. 15 Optimum control inputs for SCP fermentation process under op-mode 6. Cell mass conc. 75 Oxygen conc. × 10–3 5 10 Hour 15 20 15 20 SCP conc. 02 0 Substrate conc. 16 Optimum time profiles of SCP fermentation process under op-mode 5. 49 Dyna mic op timiz ation of a bioprocess Cell mass conc.

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