Polymer physics driven design and understanding of biological materials

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Abstract/Contents

Abstract
Polymers make up much of the world around us, from man-made materials like plastics and nylon to natural biological materials like mucus and DNA, and their physical behavior plays a large role in their function. Understanding how a polymer's composition can influence its final bulk physical behavior and function is crucial to creating novel classes of materials for new application spaces. Additionally, in the context of biology, knowing what structure-property relationships exist for biopolymer-based fluids can explain how and when there is a dysfunction. For example, the rheological properties of mucus, which lines every wet epithelial surface of our bodies, are carefully tuned to be a selective barrier to allow nutrients through and keep pathogens out, and small changes in elasticity could lead to infection. Connecting microscopic properties of a polymer chain to the macroscale physics of the polymeric material, however, still remains a challenge. In my dissertation, I present theoretical polymer physics models that link molecular-level parameters to predictions of bulk rheological behavior and combine these models with experimental techniques to develop a physical understanding of polymer-based complex biological fluids. I then demonstrate how this understanding can be leveraged to support certain therapeutic strategies.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2023; ©2023
Publication date 2023; 2023
Issuance monographic
Language English

Creators/Contributors

Author Cai, Pamela
Degree supervisor Heilshorn, Sarah
Degree supervisor Spakowitz, Andrew James
Thesis advisor Heilshorn, Sarah
Thesis advisor Spakowitz, Andrew James
Thesis advisor Fuller, Gerald G
Thesis advisor Qin, Jian ǂc (Professor of Chemical Engineering)
Degree committee member Fuller, Gerald G
Degree committee member Qin, Jian ǂc (Professor of Chemical Engineering)
Associated with Stanford University, School of Engineering
Associated with Stanford University, Department of Chemical Engineering

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Pamela C. Cai.
Note Submitted to the Department of Chemical Engineering.
Thesis Thesis Ph.D. Stanford University 2023.
Location https://purl.stanford.edu/cy376jx6178

Access conditions

Copyright
© 2023 by Pamela Cai
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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