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Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...

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Design and Implementation of a pH Sensor for Micro Solution Based on Nanostructured Ion-Sensitive Field-Effect

Yiqing Wang1, Min Yang1, Chuanjian Wu1

  • 1State Key Laboratory of Materials-Oriented Chemical Engineering, College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China.

Sensors (Basel, Switzerland)
|December 8, 2020
PubMed
Summary

This study developed a high-sensitivity nanostructured ion-sensitive field-effect transistor (ISFET) pH sensor using TCAD simulations. Optimized parameters led to a fabricated sensor with excellent sensitivity for biomedical and biochemical detection.

Keywords:
ion-sensitive field-effect transistornanostructurepH sensorperformance analysis

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Area of Science:

  • Materials Science
  • Electrical Engineering
  • Biomedical Engineering

Background:

  • Nanostructured ion-sensitive field-effect transistors (ISFETs) offer fast response, high sensitivity, and miniaturization for various applications.
  • ISFET performance is significantly influenced by gate dielectric, channel material, and thickness, necessitating careful parameter optimization.
  • Current optimization methods involve high processing costs and long production times.

Purpose of the Study:

  • To develop a high-sensitivity and fast-response nanostructured ISFET pH sensor.
  • To analyze the impact of gate dielectric, channel material, and thickness on ISFET electrical characteristics using TCAD simulation.
  • To optimize ISFET structure and parameters for improved pH sensing performance.

Main Methods:

  • Utilized SILVACO TCAD simulator for nanostructured ISFET development and analysis.
  • Investigated the effects of gate dielectric (silicon nitride) and channel material (indium oxide) on device performance.
  • Fabricated the optimized ISFET pH sensor and experimentally verified simulation results.

Main Results:

  • Selected silicon nitride as the gate dielectric and indium oxide as the channel material based on simulations.
  • Achieved a subthreshold swing of 143.19 mV/dec and a sensitivity of 88.125 mV/pH for the fabricated sensor.
  • Demonstrated the sensor's capability in detecting hydrogen peroxide oxidation with a sensitivity of 144.26 pA mol⁻¹ L⁻¹.

Conclusions:

  • The optimized nanostructured ISFET pH sensor demonstrates high accuracy and sensitivity.
  • The developed ISFET is suitable for micro-solution pH detection and can be integrated with enzyme-linked assays for broader biochemical sensing.
  • This work provides a cost-effective and efficient approach for designing advanced ISFET-based sensors.