• DocumentCode
    1450722
  • Title

    A Concept of a Sensor System for Determining Composition of Organic Solvents

  • Author

    Szczurek, Andrzej ; Maciejewska, Monika ; Bodzoj, Lukasz ; Flisowska-Wiercik, Barbara

  • Author_Institution
    Fac. of Environ. Eng., Wroclaw Univ. of Technol., Wroclaw, Poland
  • Volume
    10
  • Issue
    5
  • fYear
    2010
  • fDate
    5/1/2010 12:00:00 AM
  • Firstpage
    924
  • Lastpage
    933
  • Abstract
    This paper presents the results of work on a gas sensor system for determining qualitative and quantitative composition of organic solvents. The system performs the analysis of gaseous mixtures, which are obtained by evaporating liquid solvents and therefore directly represent their composition. The system utilizes gas sensor array, which is built of Taguchi gas sensors (TGS). It provides patterns of measured solvents which are analyzed by pattern recognition module. The module employs multivariate statistical tools like discriminant function analysis (DFA) and partial least squares (PLS) regression. The determination of solvent composition is organized in a hierarchical structure. The concept of the system was experimentally verified using the example of two-component solvents. It was here demonstrated that the proposed system is capable of determining qualitative and quantitative composition of liquid solvents.
  • Keywords
    gas sensors; least squares approximations; regression analysis; Taguchi gas sensors; discriminant function analysis; gas sensor array; gaseous mixtures; multivariate statistical tools; organic solvents; partial least squares regression; qualitative-quantitative composition; sensor system; two-component solvents; Gas detectors; Humans; Hydrocarbons; Law; Manufacturing processes; Pattern recognition; Sensor arrays; Sensor systems; Solvents; Volatile organic compounds; Multisensor system; organic solvent composition; pattern recognition; sensor array;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2009.2037901
  • Filename
    5437519