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dc.contributor.advisorJames W. Swan.en_US
dc.contributor.authorWang, Gang,Ph. D.Massachusetts Institute of Technology.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Chemical Engineering.en_US
dc.date.accessioned2019-07-15T20:36:58Z
dc.date.available2019-07-15T20:36:58Z
dc.date.copyright2018en_US
dc.date.issued2018en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/121708
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Chemical Engineering, 2018en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.description.abstractTherapeutic protein products with high solution concentration often possess extremely high viscosity and have difficulties in processing and delivery. It is desirable to predict and control the viscosity of protein solutions based on their interactions at the molecular level. Fundamental understanding on their rheology will greatly facilitate the development and engineering of biopharmaceuticals. In general, viscosity of attractive colloidal dispersions increases with their concentration and attraction strength, and diverges at the gel point. In this thesis, we investigate the mechanism of enhanced viscosity of concentrated protein solutions and colloidal dispersions due to inter-particle attractions. Coarse-grained models of protein solutions and colloidal dispersions are developed.en_US
dc.description.abstractWe improve a previously developed 12-bead model by considering the hydro-dynamic interactions and using the correct forms of screened electrostatic potential and dispersion forces to simulate monoclonal antibody solutions. The model captures anisotropic effects and correctly recovers the solution micro-structures. A random patchy sphere model with controllable surface patchiness is also developed to describe more general colloidal particles with anisotropic interactions. We observe signicant deviations in micro-structure and thermodynamics from isotropic particles at modest particle concentrations. Dynamics and rheology are sensitive to near-field non-central interactions and the resulting rigid constraints. Considering these constraints improves the viscosity prediction of concentrated antibody solutions and explains the diverging viscosity during gelation of attractive colloidal dispersions.en_US
dc.description.abstractIt is also noticed that the rigid constraints in physical gels play a similar role in rheology as the cross-links in chemical gels. We have demonstrated that the rigid constraints, which are seldom accounted for in previous works, are indispensable when computing the stress of a sheared suspension.en_US
dc.description.sponsorshipThesis is funded by Genentech Inc. and the MIT Portugal Programen_US
dc.description.statementofresponsibilityby Gang Wang.en_US
dc.format.extent171 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectChemical Engineering.en_US
dc.titleRheology of concentrated protein solutions and attractive colloidal dispersionsen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.identifier.oclc1103917231en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, Department of Chemical Engineeringen_US
dspace.imported2019-07-15T20:36:54Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentChemEngen_US


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