Cited 4 time in webofscience Cited 4 time in scopus

TiO2 Particles on a 3D Network of Single-Walled Nanotubes for NH3 Gas Sensors

Title
TiO2 Particles on a 3D Network of Single-Walled Nanotubes for NH3 Gas Sensors
Authors
Jo, YD[Jo, Yong Deok]Lee, S[Lee, Sooken]Seo, J[Seo, Jeongeun]Lee, S[Lee, Soobum]Ann, D[Ann, Doyeon]Lee, H[Lee, Haiwon]
DGIST Authors
Lee, S[Lee, Sooken]
Issue Date
2014-12
Citation
Journal of Nanoscience and Nanotechnology, 14(12), 9148-9151
Type
Article
Article Type
Article
Keywords
3D Network of SWNTs3D NetworksAtomic Layer DepositionCapillary Force LithographyChemical SensorsClimate ChangeComplex NetworksGas DetectorsGasesMetal Oxide ParticlesMetallic CompoundsNH3 Gas SensorSensor PerformanceSingle-Walled NanotubeSingle Walled Nanotube (SWNTs)Three-Dimensional (3-D) NetworksTiOTiO2Titanium DioxideTransmission Electron MicroscopyYarn
ISSN
1533-4880
Abstract
Ammonia (NH3) gas is one of the gases which causes damage to environment such as acidification and climate change. In this study, a gas sensor based on the three-dimensional (3D) network of single-walled nanotubes (SWNTs) was fabricated for the detection of NH3 gas in dry air. The sensor showed enhanced performance due to the fast gas diffusion rate and weak interactions between the carbon nanotubes and the substrate. Metal oxide particles were introduced to enhance the performance of the gas sensor. Atomic layer deposition (ALD) was employed to deposit the metal oxide in the complex structure, and good control over thickness was achieved. The hybrid gas sensor consisting of the 3D network of SWNTs with anatase TiO2 particles showed stable, repeatable, and enhanced gas sensor performance. The phase of TiO2 particles was characterized by Raman and the morphology of the TiO2 particles on the 3D network of SWNTs was analyzed by transmission electron microscope. Copyright © 2014 American Scientific Publishers All rights reserved.
URI
http://hdl.handle.net/20.500.11750/2365
DOI
10.1166/jnn.2014.10092
Publisher
American Scientific Publishers
Related Researcher
Files:
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Collection:
Smart Textile Convergence Research Group1. Journal Articles


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