Quantitative Analysis of Ternary Vapor Mixtures Using a Microcantilever-Based Electronic Nose

Pinnaduwage, Lal A; Zhao, Weichang; Gehl, Anthony C; Allman, Steve L

doi:10.1063/1.2763965

Title: Quantitative Analysis of Ternary Vapor Mixtures Using a Microcantilever-Based Electronic Nose

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Abstract

The authors 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. Dimethyl methyl phosphonate vapor in ppb concentrations and water and ethanol vapors in ppm concentrations were quantitatively identified either individually or in binary and ternary mixtures at varying concentrations.

Authors:

Pinnaduwage, Lal A ^[1]; Zhao, Weichang ^[1]; Gehl, Anthony C ^[1]; Allman, Steve L ^[1]

ORNL

Publication Date:: Mon Jan 01 00:00:00 EST 2007

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: Work for Others (WFO)

OSTI Identifier:: 970867

DOE Contract Number:: DE-AC05-00OR22725

Resource Type:: Journal Article

Journal Name:: Applied Physics Letters

Additional Journal Information:: Journal Volume: 91; Journal Issue: 4; Journal ID: ISSN 0003-6951

Country of Publication:: United States

Language:: English

Subject:: 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; ETHANOL; MIXTURES; NEURAL NETWORKS; PATTERN RECOGNITION; PHOSPHONATES; WATER

Citation Formats


                    Pinnaduwage, Lal A, Zhao, Weichang, Gehl, Anthony C, and Allman, Steve L. Quantitative Analysis of Ternary Vapor Mixtures Using a Microcantilever-Based Electronic Nose.  United States: N. p., 2007. 
        Web.  doi:10.1063/1.2763965.

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                    Pinnaduwage, Lal A, Zhao, Weichang, Gehl, Anthony C, & Allman, Steve L. Quantitative Analysis of Ternary Vapor Mixtures Using a Microcantilever-Based Electronic Nose.  United States.  https://doi.org/10.1063/1.2763965

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                    Pinnaduwage, Lal A, Zhao, Weichang, Gehl, Anthony C, and Allman, Steve L. 2007.  
        "Quantitative Analysis of Ternary Vapor Mixtures Using a Microcantilever-Based Electronic Nose".  United States.  https://doi.org/10.1063/1.2763965.

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@article{osti_970867,

  title        = {Quantitative Analysis of Ternary Vapor Mixtures Using a Microcantilever-Based Electronic Nose},

  author       = {Pinnaduwage, Lal A and Zhao, Weichang and Gehl, Anthony C and Allman, Steve L},

  abstractNote = {The authors 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. Dimethyl methyl phosphonate vapor in ppb concentrations and water and ethanol vapors in ppm concentrations were quantitatively identified either individually or in binary and ternary mixtures at varying concentrations.},

  doi          = {10.1063/1.2763965},

  url          = {https://www.osti.gov/biblio/970867},
  journal      = {Applied Physics Letters},

  issn         = {0003-6951},

  number       = 4,

  volume       = 91,

  place        = {United States},

  year         = {Mon Jan 01 00:00:00 EST 2007},

  month        = {Mon Jan 01 00:00:00 EST 2007}

}

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