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dc.contributor.advisorKristala Prather and Roy Welsch.en_US
dc.contributor.authorStein, Randy,M.B.A.Sloan School of Management.en_US
dc.contributor.otherSloan School of Management.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Chemical Engineering.en_US
dc.contributor.otherLeaders for Global Operations Program.en_US
dc.date.accessioned2020-09-14T18:44:15Z
dc.date.available2020-09-14T18:44:15Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/127258
dc.descriptionThesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, May, 2020en_US
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Chemical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, May, 2020en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 101-106).en_US
dc.description.abstractThe objective of this project is to improve the yield of the fed-batch manufacturing process for the production of Flublok influenza vaccine, which was approved by the FDA in 2018. In short, Spodoptera frugiperda (SF+) insect cells are grown to a specific target cell density and then infected with baculovirus containing the gene of interest (GOI). For this particular process, the recombinant hemagglutinin (rHA) is extracted from the cell and used to produce the influenza vaccine. Protein Sciences developed a fed-batch process which improved on the traditional batch process by feeding supplementary nutrients to boost cell growth. The Fed-Batch process doubled the target cell density at the time of infection which resulted in a two-fold increase in the final yield of rHA and a 30% reduction in cost of goods. This Fed-Batch process can be further optimized to increase rHA yield and reduce the cost of goods. It is important to note that simply increasing cell biomass is not enough; the cells must also be able to produce rHA at a similar specific productivity in order to increase the yield. Exploratory process improvement experiments were performed on the ambr250 ® multi-parallel bioreactor system, with the goal of identifying the growth conditions for maximizing SF+ cell density. The conditions yielding the best results from these experiments were replicated in 3L glass bioreactors. Using data from these experiments, an optimized Fed-batch process can be developed. In addition, a statistical model was developed to relate key process parameters to SF+ cell density. This model can be used to quantitively ascertain how cell density is impacted by changing process parameters.en_US
dc.description.statementofresponsibilityby Randy Stein.en_US
dc.format.extent106 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectSloan School of Management.en_US
dc.subjectChemical Engineering.en_US
dc.subjectLeaders for Global Operations Program.en_US
dc.titleProcess Intensification of Spodoptera frugiperda (Sf) Cell Growth via Multi-Parallel Bioreactor Systemen_US
dc.typeThesisen_US
dc.description.degreeM.B.A.en_US
dc.description.degreeS.M.en_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.contributor.departmentLeaders for Global Operations Programen_US
dc.identifier.oclc1191226292en_US
dc.description.collectionM.B.A. Massachusetts Institute of Technology, Sloan School of Managementen_US
dc.description.collectionS.M. Massachusetts Institute of Technology, Department of Chemical Engineeringen_US
dspace.imported2020-09-14T18:44:13Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentSloanen_US
mit.thesis.departmentChemEngen_US


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