The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
A Gradient Microarray Electronic Nose Based on Percolating SnO2 Nanowire Sensing Elements
Abstract
Fabrication, characterization, and tests of the practical gradient microarray electronic nose with SnO(2) nanowire gas-sensing elements are reported. This novel device has demonstrated an excellent performance as a gas sensor and e-nose system capable of promptly detecting and reliably discriminating between several reducing gases in air at a ppb level of concentration. It has been found that, in addition to the temperature gradient across the nanowire layer, the density and morphological inhomogeneities of nanowire mats define the discriminating power of the electronic nose.
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Cites
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A novel multigene family may encode odorant receptors: A molecular basis for odor recognition
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Conduction Model of Metal Oxide Gas Sensors
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Catalytic Growth of Zinc Oxide Nanowires by Vapor Transport
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The surface and materials science of tin oxide
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Recent advances in energy-saving chemiresistive gas sensors: A review
Majhi, S. M., Mirzaei, A., Kim, H. W., Kim, S. S., & Kim, T. W. (2021) · Nano Energy · doi:10.1016/j.nanoen.2020.105369 · Cited by 653
Gas Sensors Based on Semiconducting Metal Oxide One-Dimensional Nanostructures
Huang, J., & Wan, Q. (2009) · Sensors · doi:10.3390/s91209903 · Cited by 417
Devices and chemical sensing applications of metal oxide nanowires
Shen, G., Chen, P.-C., Ryu, K., & Zhou, C. (2009) · J. Mater. Chem. · doi:10.1039/b816543b · Cited by 313
Joshi, R. K., & Schneider, J. J. (2012) · Chemical Society Reviews · doi:10.1039/c2cs35089k · Cited by 270
Chen, P., Sukcharoenchoke, S., Ryu, K., Gomez de Arco, L., Badmaev, A., Wang, C., & Zhou, C. (2010) · Advanced Materials · doi:10.1002/adma.200904005 · Cited by 166
Metadata
- Authors
- Sysoev, V. V., Goschnick, J., Schneider, T., Strelcov, E., & Kolmakov, A.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2007-10-01
- Volume
- 7
- Issue
- 10
- Pages
- 3182-3188
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W1982080219
- Cited by
- 272
- References
- 31
- FWCI
- 12.80
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.