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Ion selective transistor modelling for behavioural simulations.

M Daniel1, M Janicki, W Wroblewski

  • 1Department of Microelectronics & Computer Science, Technical University of Lodz, 93-590 Lodz, Poland. daniel@dmcs.p.lodz.pl

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|February 3, 2005
PubMed
Summary

This study presents a new model for ion-selective sensors used in environmental monitoring. The model accurately simulates ammonium-sensitive membranes for real-time water pollution detection.

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Area of Science:

  • Materials Science
  • Electrical Engineering
  • Environmental Science

Background:

  • Accurate modeling of ion-selective sensors is crucial for computer-aided design of silicon microsystems for environmental monitoring.
  • Existing behavioral simulators require efficient and compatible models for ion-selective sensors, particularly Ion-Sensitive Field-Effect Transistors (ISFETs).

Purpose of the Study:

  • To develop and validate an efficient and accurate model for ion-selective sensors, specifically ISFETs with ion-selective membranes.
  • To enable the behavioral simulation of complex silicon microsystems for environmental monitoring applications, such as water quality analysis.

Main Methods:

  • The study focuses on back-side contact ISFETs with silicon nitride gates, sensitive to hydrogen ions.
  • An ammonium-sensitive membrane was investigated, determining selectivity coefficients in the presence of interfering ions.

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  • A comprehensive sensor model was created using these coefficients for subsequent electrical simulations.

    • Main Results:

    • The developed model accurately simulates the behavior of ammonium-sensitive ISFETs.
    • Selectivity coefficients were determined for the ammonium-sensitive membrane, accounting for interfering ions.
    • The model was successfully applied in electrical simulations for behavioral analysis of water monitoring microsystems.

    Conclusions:

    • The proposed sensor model is versatile and applicable to any ion-selective membrane, provided selectivity coefficients are known.
    • The model can be readily implemented in behavioral simulations for water monitoring microsystems.
    • The model has been successfully validated in a real on-line water pollution monitoring system for contaminant detection.