Metal oxide patterns of one-dimensional nanofibers: on-demand, direct-write fabrication, and application as a novel platform for gas detection
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lim, Kyeorei | - |
dc.contributor.author | Jo, Young-Moo | - |
dc.contributor.author | Yoon, Ji-Wook | - |
dc.contributor.author | Lee, Jong-Heun | - |
dc.date.accessioned | 2021-08-31T23:02:51Z | - |
dc.date.available | 2021-08-31T23:02:51Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2019-11-21 | - |
dc.identifier.issn | 2050-7488 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/61555 | - |
dc.description.abstract | To organize one-dimensional (1D) metal oxides into highly ordered and controllable architectures on the required regions remains challenging. Herein, we report for the first time the facile, versatile, and on-demand fabrication of metal oxide patterns comprising 1D nanofibers via near-field electrospinning (NFES), which have a wide variety of potential applications in sensors, optoelectronic circuits, and functional nanoelectronics. Grids, diamonds, and hexagrams of In2O3, Co3O4, and NiO nanofibers are first demonstrated, and the underlying mechanisms for fiber formation are systematically investigated with respect to the experimental parameters of NFES. Furthermore, we propose the nano-architectures as a novel gas sensing platform that exhibits an unprecedentedly high gas response (resistance ratio, S-T = 239, T: trimethylamine) and selectivity (STSE-1 > 7, E: ethanol) to 5 ppm trimethylamine compared with thin film counterparts (S-T = 24, STSE-1 approximate to 1). The research provides a vital breakthrough to fabricate metal oxide nano-architectures of 1D nanofibers and new platforms to design next-generation functional nanodevices for a wide range of emerging applications. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ROYAL SOC CHEMISTRY | - |
dc.subject | SENSING PROPERTIES | - |
dc.subject | SENSITIVE DETECTION | - |
dc.subject | ELECTROSPUN | - |
dc.subject | NANOPARTICLES | - |
dc.subject | OXIDATION | - |
dc.subject | NANOWIRES | - |
dc.subject | FIBERS | - |
dc.subject | SENSOR | - |
dc.subject | CO | - |
dc.title | Metal oxide patterns of one-dimensional nanofibers: on-demand, direct-write fabrication, and application as a novel platform for gas detection | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Jong-Heun | - |
dc.identifier.doi | 10.1039/c9ta09708b | - |
dc.identifier.scopusid | 2-s2.0-85074682695 | - |
dc.identifier.wosid | 000496150500021 | - |
dc.identifier.bibliographicCitation | JOURNAL OF MATERIALS CHEMISTRY A, v.7, no.43, pp.24919 - 24928 | - |
dc.relation.isPartOf | JOURNAL OF MATERIALS CHEMISTRY A | - |
dc.citation.title | JOURNAL OF MATERIALS CHEMISTRY A | - |
dc.citation.volume | 7 | - |
dc.citation.number | 43 | - |
dc.citation.startPage | 24919 | - |
dc.citation.endPage | 24928 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Energy & Fuels | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Physical | - |
dc.relation.journalWebOfScienceCategory | Energy & Fuels | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.subject.keywordPlus | SENSING PROPERTIES | - |
dc.subject.keywordPlus | SENSITIVE DETECTION | - |
dc.subject.keywordPlus | ELECTROSPUN | - |
dc.subject.keywordPlus | NANOPARTICLES | - |
dc.subject.keywordPlus | OXIDATION | - |
dc.subject.keywordPlus | NANOWIRES | - |
dc.subject.keywordPlus | FIBERS | - |
dc.subject.keywordPlus | SENSOR | - |
dc.subject.keywordPlus | CO | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea 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.