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Microfluidic platform for rapid biologics activity assessment using molecular charge modulation and electrokinetic concentration based receptor assays

Author(s)
Ouyang, Wei, Ph.D. Massachusetts Institute of Technology
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Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Jongyoon Han.
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M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
Biologics (biomolecule drugs) play a key role in modem medicine, yet assuring their quality and safety remains a major challenge for the biopharmaceutical industry. Developing a platform for rapid and reliable assessment of biologics activity is critical for quality control of biologics manufacturing and safety assurance. Herein we introduce a generally applicable platform for this purpose, using molecular charge modulation and electrokinetic concentration based receptor binding assays. This technology is homogeneous (immobilization-free) and overcomes many practical challenges of current immobilization-based binding assays. We developed various formats of assays for extracting the dissociation constants and dissociation rates of biologics toward their target receptors, which are directly related to the in vivo efficacy and duration of efficacy of biologics. We showcased the technology for rapid determination of biologics degradation, which is meaningful for assuring biologics safety. This work provides reliable biologics analysis comparable to state-of-the-art technologies with significantly less time (<1 h), reduced sample use, and simpler experimental setup, which holds promises as a platform for assuring the quality and safety of biologics at the point-of-care.
Description
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
 
Cataloged from PDF version of thesis.
 
Includes bibliographical references (pages 86-91).
 
Date issued
2016
URI
http://hdl.handle.net/1721.1/106084
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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