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 phone tradition regulate for Bioprocess Engineering provides the layout, fabrication, and keep an eye on of a brand new form of bioreactor intended particularly for animal phone 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 within which liquid columns in both limb of the reactor alternately move up and down. The operating quantity of the reactor is small, to inside 15 L. in spite of the fact that, it might simply be scaled up for big construction in quantity of mobilephone mass within the drug and pharmaceutical industries.

The authors describe the primary of operation of the see-saw bioreactor and the way to immediately keep an eye on the bioprocess. They talk about varied regulate thoughts in addition to the thorough experimental examine they carried out in this prototype bioreactor within which they utilized a time hold up regulate for yield maximization.

To provide you with a whole realizing 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 an eye on 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, regulate, and software program sensors.

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Sample text

The figure displays an initially higher actual oxygen deposition, but at the end the actual profile shows drooping characteristics. The same may be explained as below: • Apart from turbulence effects, the drooping nature of the actual profile can be explained by the presence of microorganisms in the bioreactor. The amount of oxygen deposited is being consumed by microorganisms present in the bioreactor medium. 5 shows that the actual oxygen deposition is much higher than the theoretical one. This is explained as below: • When the time period of oscillation is 35 s, the liquid column rises to a great height and acquires great falling velocity, giving rise to turbulence.

No yes Solve the model equations for standard value of parameters and known control input values Refresh the time-varying model parameters using estimation algorithms yes Run the program for op-mode 9 and display the time profile of all states Work real time? Reset all the program starts and control input to the standard assigned value no I/O data Display the time profiles of all the states and standard parameters and assigned control input values yes Change t0, tf Set t0, tf Old t0, tf yes Set X0 no Old X0 yes Change F0, F1, F4 Old F0, F1, F4 Set F0, F1, F4 no yes Change KLa?

Yes Set Xin, Sin, Oin, Pin, X11, X12, X13, X14? 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.

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