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Massachusetts Institute of Technology

Using surface topography to re-analyze gradients in mussel byssal threads

Abstract

dc:description.abstract

Thin film instabilities have been heavily utilized in recent years in the fields of thin film production, biology and nano-fabrication. The creation of specific wrinkling and buckling patterns has been used as both a characterization and control technique. This project aims to apply the analysis of thin film wrinkling patterns to characterize the mechanical gradient in the collagenous core fiber of mussel byssal threads. Mussel byssal threads have a natural, stiff, thin outer coating that is chemically and mechanically distinct from the softer collagenous core making them a prime subject for wrinkling analysis. Past work in the area has focused on full thread strain recovery dynamics and biochemical analysis of the collagenous and coating components in an attempt to understand the physical characteristics of the mussel byssal threads.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Materials Science and Engineering.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ryan, Emmie A
Advisor dc:contributor.advisor
  • Niels Holten-Anderson.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/117324
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/117324

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Ryan, Emmie A. Using surface topography to re-analyze gradients in mussel byssal threads. Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/117324