A microfluidic mucosal airway model to study airway mucosal function and pathogenesis
Name
973557076-MIT.pdf
Description
Full printable version
Size
12.39 MB
Format
Adobe PDF
Checksum (MD5)
5c0d140bdf90cc21202d472ad23d1690
Author(s)
Yu, Chia-Chen (Electrical and computer science engineer) Massachusetts Institute of Technology
Advisor(s)
Jongyoon Han.
Date Issued
2016
Publisher
Massachusetts Institute of Technology
Abstract
Airway mucus hypersecretion or impaired clearance is one of the key pathophysiological features of airborne infection, allergy and severe respiratory diseases. As foreign particles enter the lungs, the airway becomes inflamed and excessive amount of mucus is generated in response. However, little is known about the role of mucus in regulating the passage of potentially harmful particles. In this thesis, we develop a novel in-vitro microfluidic system which closely models the biophysiological properties of the airway system. Our system accommodates co-current flow of aerosol and mucus and reproduces the key physiology of molecular and particle transport into a mucus barrier. A stable air-mucus interface with physiological clearance rate of mucus is achieved by optimizing device structural parameters. Evaporation-driven concentration is observed and limits our system to be used to model particle delivery to the nose and larger airways. With this platform, we hope to perform systematic permeability studies with diseased and normal mucus to develop a detailed understanding of the respiratory mucus permeability towards selected allergens. We envision the device to serve as a broad platform to identify key properties of mucus that may guide the way to improved airway disease diagnosis and treatment.
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 64-67).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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