Ultrasensitive and highly selective gas sensors using three-dimensional tungsten oxide nanowire networks

Year: 2006

Authors: Ponzoni A., Comini E., Sberveglieri G., Zhou J., Deng SZ., Xu NS., Ding Y., Wang ZL.

Autors Affiliation: Univ Brescia, SENSOR Lab, I-25121 Brescia, Italy; Univ Brescia, CNR, INFM, I-25121 Brescia, Italy; Univ Brescia, Dipartimento Chim & Fis, I-25121 Brescia, Italy; Sun Yat Sen Zhongshan Univ, Sch Phys & Engn, Guangzhou 510275, Peoples R China; Sun Yat Sen Zhongshan Univ, State Key Lab, Guangzhou 510275, Peoples R China; Sun Yat Sen Zhongshan Univ, Guangdong Prov Key Lab Display Mat & Technol, Guangzhou 510275, Peoples R China; Georgia Inst Technol, Sch Mat Sci & Engn, Atlanta, GA 30332 USA.

Abstract: Three-dimensional (3D) tungsten oxide nanowire networks have been demonstrated as a high-surface area material for building ultrasensitive and highly selective gas sensors. Utilizing the 3D hierarchical structure of the networks, high sensitivity has been obtained towards NO2, revealing the capability of the material to detect concentration as low as 50 ppb (parts per billion). The distinctive selectivity at different working temperatures is observed for various gases. The results highlight that the nanobelts (nanowires) technology can be adopted for the development of gas sensors with performances suitable for practical applications.

Journal/Review: APPLIED PHYSICS LETTERS

Volume: 88 (20)      Pages from: 203101-1  to: 203101-3

More Information: Three of the authors (A.P., E.C., and G.S.) thank for the financial support of the European Strep project NANOS4 (Grant No. 001528). Two of the authors (S.Z.D. and N.S.X.) thank the support of the project from the NSFC, the Ministry of Science and Technology of China, the Education Ministry of China, the Department of Education and Department of Science and Technology of Guangdong Province, and Department of Science and Technology of Guangzhou City. Another author (Z.L.W.) thanks the support from NSF, the NASA Vehicle Systems, Department of Defense Research and Engineering (DDRE), and the Defense Advanced Research Projects Agency (Award No. N66001-04-1-8903). One of the authors (J.Z.) is thankful for the Kaisi Fund from Sun Yat-sen University.
KeyWords: Electrical Detection
DOI: 10.1063/1.2203932

ImpactFactor: 3.977
Citations: 398
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