• DocumentCode
    2685743
  • Title

    The application of frequency and amplitude response spectroscopy analyzing

  • Author

    Xu, Li ; Zhang, Ying-Qiang ; Zhan, Shu-Yue ; Wang, Xiao-Ping

  • Author_Institution
    State Key Lab. for Modern Opt. Instrum., Zhejiang Univ., Hangzhou, China
  • fYear
    2010
  • fDate
    3-6 May 2010
  • Firstpage
    335
  • Lastpage
    338
  • Abstract
    This paper presented and discussed a new electrochemical analysis method FARSA (frequency and amplitude response spectroscopy analyzing), which can be applied to qualitatively and quantitatively analyze material´s properties and concentration with certain methods of chemometrics, and introduced the system and functional structure of FARSA. Principal component analysis (PCA) was used to the identification and authenticity of identification of four brands of purified drinking water and three brands of mineral drinking water. The results showed that it can clearly classify different brands of water and the pseudo-sample. Additionally, a quantitative method based on LM-BP artificial neural nets was used to detect the COD concentration of wastewater with a good fitting and forecast accuracy.
  • Keywords
    electrochemical analysis; principal component analysis; spectroscopy; COD concentration; FARSA; electrochemical analysis; frequency and amplitude response spectroscopy analyzing; principal component analysis; wastewater; Chemical analysis; Circuits; Electrodes; Frequency; Material properties; Pulse amplifiers; Sensor arrays; Signal analysis; Spectroscopy; Wastewater; COD concentration; electrochemical analysis; frequency and amplitude response spectroscopy; solution discrimination;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference (I2MTC), 2010 IEEE
  • Conference_Location
    Austin, TX
  • ISSN
    1091-5281
  • Print_ISBN
    978-1-4244-2832-8
  • Electronic_ISBN
    1091-5281
  • Type

    conf

  • DOI
    10.1109/IMTC.2010.5488013
  • Filename
    5488013