Buch, Englisch, 136 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 342 g
Buch, Englisch, 136 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 342 g
ISBN: 978-1-4987-3599-5
Verlag: CRC Press
Bioreactors: Animal Cell Culture Control for Bioprocess Engineering presents the design, fabrication, and control of a new type of bioreactor meant especially for animal cell line culture. The new bioreactor, called the "see-saw bioreactor," is ideal for the growth of cells with a sensitive membrane. The see-saw bioreactor derives its name from its principle of operation in which liquid columns in either limb of the reactor alternately go up and down. The working volume of the reactor is small, to within 15 L. However, it can easily be scaled up for large production in volume of cell mass in the drug and pharmaceutical industries.The authors describe the principle of operation of the see-saw bioreactor and how to automatically control the bioprocess. They discuss different control strategies as well as the thorough experimental research they conducted on this prototype bioreactor in which they applied a time delay control for yield maximization.To give you a complete understanding of the design and development of the see-saw bioreactor, the authors cover the mathematical model they use to describe the kinetics of fermentation, the genetic algorithms used for deriving the optimal time trajectories of the bioprocess variables, and the corresponding control inputs for maximizing the product yield. One chapter is devoted to the application of time delay control. Following a description of the bioreactor’s working setup in the laboratory, the authors sum up their investigation and define the future scope of work in terms of design, control, and software sensors.
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IntroductionA new type of bioreactorBioreactor modeling and controlOrganization of the bookNovel see-saw bioreactorConstruction and working of the see-saw bioreactorTheoretical modeling and simulationOxygen transfer to the falling filmOxygen transfer to the flat surfaceTotal oxygen transfer in the bioreactorExperiments to verify the modelingDiscussion of the resultsFuture scope of workSimulation of bioprocess and development of BIPROSIM: A general purpose simulation programMathematical formulation of the bioprocessModes of operationAdoption in the model parametersThe algorithm of BIPROSIMSample runDynamic optimization of a bioprocess using genetic algorithmHistorical backgroundBioprocess model developmentApplication of genetic algorithm for control input optimizationExplanation of the application of GAAlgorithm 4.1Flowchart of Algorithm 4.1Subroutine "Child"Subroutine "Mutate"Algorithm 4.2Flowchart of Algorithm 4.2Results of the application of GABioprocesses and time delay controlThe problem of bioprocess controlDevelopment of dynamic modelTime delay controlTime delay controller as bioprocess controllerObserver designPID controllers for bioprocess controlSimulation results and discussionsExperimentation on the bioreactorInstrumentationExperimentationPresentation of experimental resultsComparison between experimental and theoretical resultsSummaryGeneral conclusion and future scope of researchOverview of the workGeneral conclusionFuture scope of researchReferencesAppendix: Environmental control and sterilization of the bioreactor