Fabrication of Millimeter-Long Carbon Tubular Nanostructures Using the Self-Rolling Process Inherent in Elastic Protein Layers
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ko, Hyojin | - |
dc.contributor.author | Deravi, Leila F. | - |
dc.contributor.author | Park, Sung-Jin | - |
dc.contributor.author | Jang, Jingon | - |
dc.contributor.author | Lee, Takhee | - |
dc.contributor.author | Kang, Cheong | - |
dc.contributor.author | Lee, Jin Seok | - |
dc.contributor.author | Parker, Kevin Kit | - |
dc.contributor.author | Shin, Kwanwoo | - |
dc.date.available | 2021-02-22T11:12:40Z | - |
dc.date.issued | 2017-08 | - |
dc.identifier.issn | 0935-9648 | - |
dc.identifier.issn | 1521-4095 | - |
dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/8225 | - |
dc.description.abstract | Millimeter-long conducting fibers can be fabricated from carbon nanomaterials via a simple method involving the release of a prestrained protein layer. This study shows how a self-rolling process initiated by polymerization of a micropatterned layer of fibronectin (FN) results in the production of carbon nanomaterial-based microtubular fibers. The process begins with deposition of carbon nanotube (CNT) or graphene oxide (GO) particles on the FN layer. Before polymerization, particles are discrete and nonconducting, but after polymerization the carbon materials become entangled to form an interconnected conducting network clad by FN. Selective removal of FN using high-temperature combustion yields freestanding CNT or reduced GO microtubular fibers. The properties of these fibers are characterized using atomic force microscopy and Raman spectroscopy. The data suggest that this method may provide a ready route to rapid design and fabrication of aligned biohybrid nanomaterials potentially useful for future electronic applications. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | WILEY-V C H VERLAG GMBH | - |
dc.title | Fabrication of Millimeter-Long Carbon Tubular Nanostructures Using the Self-Rolling Process Inherent in Elastic Protein Layers | - |
dc.type | Article | - |
dc.publisher.location | 독일 | - |
dc.identifier.doi | 10.1002/adma.201701732 | - |
dc.identifier.scopusid | 2-s2.0-85020513028 | - |
dc.identifier.wosid | 000407565700024 | - |
dc.identifier.bibliographicCitation | ADVANCED MATERIALS, v.29, no.31 | - |
dc.citation.title | ADVANCED MATERIALS | - |
dc.citation.volume | 29 | - |
dc.citation.number | 31 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | sci | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalResearchArea | Physics | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Physical | - |
dc.relation.journalWebOfScienceCategory | Nanoscience & Nanotechnology | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
dc.relation.journalWebOfScienceCategory | Physics, Condensed Matter | - |
dc.subject.keywordPlus | NANOMEMBRANES | - |
dc.subject.keywordPlus | ACTUATORS | - |
dc.subject.keywordAuthor | carbon fibers | - |
dc.subject.keywordAuthor | carbon nanotubes | - |
dc.subject.keywordAuthor | fibronectin | - |
dc.subject.keywordAuthor | graphene | - |
dc.subject.keywordAuthor | strain-driven self-rolling | - |
dc.identifier.url | https://onlinelibrary.wiley.com/doi/full/10.1002/adma.201701732 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Sookmyung Women's University. Cheongpa-ro 47-gil 100 (Cheongpa-dong 2ga), Yongsan-gu, Seoul, 04310, Korea02-710-9127
Copyright©Sookmyung Women's University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.