• DocumentCode
    2022316
  • Title

    Chemical field-effect transistor with constant-voltage constant-current drain-source readout circuit

  • Author

    Abdullah, Wan Fazlida Hanim ; Othman, Masuri ; Ali, Mohd Alaudin Mohd

  • Author_Institution
    Univ. Teknol. MARA, Shah Alam, Malaysia
  • fYear
    2009
  • fDate
    16-18 Nov. 2009
  • Firstpage
    219
  • Lastpage
    221
  • Abstract
    Response of Chemical Field-Effect Transistor (CHEMFET) electrochemical sensors are taken from the output of a readout interface circuit that maintains constant drain-source voltage and current levels. We employ the readout circuit for the purpose of supervised learning training data collection. Sample solutions are prepared by keeping the main ion concentration constant while the activity of an interfering ion varied based on the fixed interference method. Results show that the voltage response demonstrates linear relationship to the ion concentration within the detection limit. However, noise in the form of abrupt and random changes in DC levels reduces correlation and increases mean square error between similarly repeated measurements. We find that referencing the voltage response to the sensor response in DIW prior to measurement greatly improves the repeatability. The process of approximating ionic concentration level is achieved up to 80% recognition by feeding the readout circuit output to a neural network post-processing stage.
  • Keywords
    electrochemical sensors; field effect transistor circuits; ion sensitive field effect transistors; mean square error methods; neural chips; readout electronics; CHEMFET electrochemical sensor; DC level; chemical field-effect transistor; constant-voltage constant-current drain-source readout circuit; fixed interference method; ion concentration; mean square error; neural network post-processing stage; readout interface circuit; sensor response; supervised learning training data collection; voltage response; Chemical sensors; Circuits; FETs; Interference; Mean square error methods; Noise level; Noise reduction; Supervised learning; Training data; Voltage; CHEMFET; electrochemical sensors; readout circuit; supervised learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research and Development (SCOReD), 2009 IEEE Student Conference on
  • Conference_Location
    UPM Serdang
  • Print_ISBN
    978-1-4244-5186-9
  • Electronic_ISBN
    978-1-4244-5187-6
  • Type

    conf

  • DOI
    10.1109/SCORED.2009.5443112
  • Filename
    5443112