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. ORCID: https://orcid.org/0000-0001-5930-8139 (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
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013)
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013)
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 (2008): 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
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4699 Other information and computing sciences > 469999 Other information and computing sciences not elsewhere classified
32 BIOMEDICAL AND CLINICAL SCIENCES > 3206 Medical biotechnology > 320602 Medical biotechnology diagnostics (incl. biosensors)
40 ENGINEERING > 4003 Biomedical engineering > 400303 Biomechanical engineering
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: https://doi.org/10.1063/1.2763965
URI: http://eprints.usq.edu.au/id/eprint/3059

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