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Item Information   Holdings       More by this author     Bogren, Karin L.     Subjects     Biotechnological process control     Bioreactors     Costs and Cost Analysis     MSEV Project.     Browse Catalog     by author:      Bogren, Karin L.       by title:      Characterizing dispe...         MARC Display

Characterizing dispersion and determining feasibility for injecting a bioreactor solution into an aqueous carrier stream / by Karin L. Bogren. by Bogren, Karin L. Subjects Biotechnological process control   Bioreactors   Costs and Cost Analysis   MSEV Project. Description:  64 leaves : ill. ; 28 cm. Contents:  Advisor: Dr. Charles Tritt Nomenclature -- Body of report -- Materials and methods used in the investigation / methodology -- Results and discussion -- Conclusion and recommendations -- References -- Appendix A) Copy of project approval form; B) Experimental and model results under test conditions. Companies developing new pharmaceuticals are under increasing pressure to get new drugs to market quickly. One approach to making drug molecules is the use of bioreactor processes. To produce the desired expression, the rate and environment in which the organism grows is critical. Researchers optimize these conditions based on data determined from samples taken from bioreactors. Currently, many facilities manually take these samples. On-line monitoring offers the advantages of more frequent time points and minimized labor requirements. This results in quicker process optimization decisions. Two main limitations exist for on-line monitoring: sample volume requirements and transport time. The system described in this thesis allows samples to be injected into a carrier stream of water minimizing the volume of sample required and decoupling the transport flow rate from the flow rate of the in-situ filter. Depending on the fluidic parameters of sample volume, flow rate, tubing inner diameter, and tubing length, air slugs may need to be injected to prevent or reduce sample dispersion. A model was developed to predict the conditions under which air slug injection would be required. Model predictions are preferred over experimental determinations because they eliminate additional set up testing, and sample and reagents consumption. In this work, the axial dispersed plug flow model (ADPFM) as solved by Kolev for the condition where the sample injection is approximated by a rectangular function was modeled using MATLAB software. A mixed tank model was appended in series to the ADPFM to provide better agreement with experimental results. Modeled and experimental data showed quantitative correlation for sample loop and flow rate variations while only qualitative trends for reactor length and tubing inner diameter.   Copy/Holding information Location Collection Call No. Status   Walter Schroeder Library Master's Theses AC805 .B64 2000 Available Add Copy to MyList Format: HTMLPlain textDelimited Subject:   Email to:

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