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
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Official URL: http://apl.aip.org/
Identification Number or DOI: doi: 10.1063/1.2763965
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.
|Item Type:||Article (Commonwealth Reporting Category C)|
|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
|Subjects:||290000 Engineering and Technology|
|Socio-Economic Objective (SEO2008):||E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering|
|Deposited On:||08 Apr 2008 14:55|
|Last Modified:||11 Oct 2012 11:58|
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