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

By Goutam Saha, Alok Barua, Satyabroto Sinha

Bioreactors: Animal mobile tradition regulate for Bioprocess Engineering provides the layout, fabrication, and regulate of a brand new form of bioreactor intended specially for animal cellphone line tradition. the hot 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 within which liquid columns in both limb of the reactor alternately cross up and down. The operating quantity of the reactor is small, to inside of 15 L. although, it may simply be scaled up for giant creation 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 instantly regulate the bioprocess. They talk about diverse keep watch over suggestions in addition to the thorough experimental learn they carried out in this prototype bioreactor within which they utilized a time hold up keep watch over for yield maximization.

To offer you an entire knowing 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 an eye on inputs for maximizing the product yield. One bankruptcy is dedicated to the applying 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 when it comes to layout, keep an eye on, and software program sensors.

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10 Optimum control input profiles of SCP fermentation process under op-mode 8. concentration so as to produce the maximum output of products in the particular operating mode. So, we can decide on an optimal op-mode and maneuver the control inputs in that op-mode to maximize yield. The result obtained will ensure global maximization of the process variable of interest, and time profiles of other states will be optimal. BIPROSIM has GA incorporated in it. 21. 46 Anim al Cell Culture Control for Bioprocess Engineering Cell mass conc.

This figure shows that the actual dissolved oxygen concentration in the bioreactor is higher than that of the theoretical one. The discrepancy may be explained as follows: • In the theoretical expression, it was assumed that there is no turbulence in the flat surface of the reactor, but some turbulence was present in the liquid medium due to oscillation. This could be an important reason for the difference in the time profiles. 4 displays the actual and theoretical dissolved oxygen concentration profiles in the bioreactor when the time period of oscillation is 25 s.

First, GA is robust. , from a population of strings) climbing many peaks in parallel; thus the possibility of getting stuck at a false peak is reduced over methods that go point to point. In short, GA ensures that the result obtained will be the global maximum. The bioprocess usually operates for hours. The GA is made to operate on a sampling instant-to-instant basis for operating modes 1 through 8. At the end of each sampling instant, the optimal control inputs as well as optimal state values are stored.

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