Quantitative analysis of ternary vapor mixtures using a microcantilever-based electronic nose

Pinnaduwage, L. A. and Zhao, W. and Gehl, A. C. and Allman, S. L. and Shepp, A. and Mahmud, K. K. and Leis, J. W. (2007) Quantitative analysis of ternary vapor mixtures using a microcantilever-based electronic nose. Applied Physics Letters, 91 (4). pp. 1-3. ISSN 0003-6951

Official URL: http://apl.aip.org/

Abstract

We report the identification and quantification of the components of a ternary vapor mixture using a microcantilever-based electronic nose. An artificial neural network was used for pattern recognition. We detected parts-per-billion concentrations of dimethyl methyl phosphonate vapor in ternary mixtures with parts-per-million concentrations of water and ethanol. To our knowledge, this is the first successful quantitative analysis of vapor mixtures with more than two components with an electronic nose.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: http://web.ebscohost.com.ezproxy.usq.edu.au/ehost/detail?vid=4&hid=114&sid=1e3bf5e3-6e97-4bed-b106-83392a7d56b0%40sessionmgr102
Depositing User: Assoc Prof John Leis
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 08 Apr 2008 04:55
Last Modified: 02 Jul 2013 22:49
Uncontrolled Keywords: quantitative analysis; ternary vapor mixtures; ternary vapour mixtures; microcantilever-based electronic nose
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
10 Technology > 1004 Medical Biotechnology > 100402 Medical Biotechnology Diagnostics (incl. Biosensors)
09 Engineering > 0903 Biomedical Engineering > 090302 Biomechanical Engineering
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: doi: 10.1063/1.2763965
URI: http://eprints.usq.edu.au/id/eprint/3059

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