• DocumentCode
    653416
  • Title

    Detection of benzene series by two-dimensional FAIMS technique

  • Author

    Lehua Zhang ; Youjiang Liu ; Hongwei Wang ; Chilai Chen ; Huanqin Wang ; Deyi Kong ; Xiaotian Zhang ; Chavarria, Mario ; Brugger, Juergen

  • Author_Institution
    Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2013
  • fDate
    20-23 Aug. 2013
  • Firstpage
    1702
  • Lastpage
    1705
  • Abstract
    Benzene, toluene, p-xylene, m-xylene and o-xylene are harmful to human body seriously, moreover, p-xylene, m-xylene and o-xylene are isomers, which are difficult to distinguish by commonly used spectrum analysis techniques, such as mass spectrometry. In this article, they were detected by using high field asymmetric waveform ion mobility spectrometry (FAIMS). The resolution of detecting samples was optimized by two dimensional scanning concerning the compensation voltage in combination with high dispersion voltage. FAIMS has good solution to identify them. According to the experimental results, we obtained two-dimensional spectra. By fitting of equations about electric field intensity, we worked out second-order and fourth-order coefficient of ion mobility nonlinear function, which is useful to establish characteristic FAIMS spectra of the benzene series compounds.
  • Keywords
    ion mobility spectrometers; organic compounds; benzene series detection; electric field intensity; high dispersion voltage; high field asymmetric waveform ion mobility spectrometry; ion mobility nonlinear function; m-xylene; o-xylene; p-xylene; toluene; two dimensional scanning; two-dimensional FAIMS technique; Dispersion; Electric fields; Electrodes; Electron tubes; Ions; Mass spectroscopy; benzene series compounds; high field asymmetric waveform ion mobility spectrometry (FAIMS); isomers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/GreenCom-iThings-CPSCom.2013.312
  • Filename
    6682324