ACCELERATED SELF-ASSEMBLY OF PEPTIDE-BASED NANOFIBERS USING NANOMECHANICAL STIMULUS

dc.contributor.advisorSeog, Joonilen_US
dc.contributor.authorChang, Jonathan Paulen_US
dc.contributor.departmentMaterial Science and Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2011-02-19T07:10:21Z
dc.date.available2011-02-19T07:10:21Z
dc.date.issued2010en_US
dc.description.abstractOne-dimensional nanostructures are ideal building blocks for functional nanoscale assembly. Peptide-based nanofibers have great potential for building smart hierarchical structures due to their tunable structures at a single residue level and their ability to reconfigure themselves in response to environmental stimuli. In this study, it was observed that a pre-adsorbed silk-elastin-based protein polymer self-assembled into nanofibers through a conformational change on the mica substrate. Furthermore, using atomic force microscopy, it was shown that the rate of the self-assembling process was significantly enhanced by applying a nanomechanical stimulus. The orientation of the newly grown nanofiber was mostly perpendicular to the scanning direction, implying that the new nanofiber assembly was locally activated with a directional control. The method developed as a part of this study provides a novel way to prepare a nanofiber patterned substrate using a bottom-up approach.en_US
dc.identifier.urihttp://hdl.handle.net/1903/11245
dc.subject.pqcontrolledMaterials Scienceen_US
dc.subject.pqcontrolledNanotechnologyen_US
dc.subject.pquncontrolledatomic force microscopyen_US
dc.subject.pquncontrolledself-assemblyen_US
dc.subject.pquncontrolledsilk-elastin-like proteinen_US
dc.titleACCELERATED SELF-ASSEMBLY OF PEPTIDE-BASED NANOFIBERS USING NANOMECHANICAL STIMULUSen_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Chang_umd_0117N_11812.pdf
Size:
3.67 MB
Format:
Adobe Portable Document Format