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A Readout Circuit for MEMS Gas Sensor.

Shengle Ren1, Mingyuan Ren2, Honghai Xu3

  • 1College of Electrical and Information Engineering, Quzhou Universiy, Quzhou 324000, China.

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Summary
This summary is machine-generated.

This study introduces a novel micro-electro-mechanical systems (MEMS) gas sensor interface circuit using analog-to-digital converter (ADC) technology. This advancement addresses key limitations in miniaturization, power consumption, and intelligence for gas sensing applications.

Keywords:
ADCMEMS gas sensorinterface circuit

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Area of Science:

  • Electrical Engineering
  • Materials Science
  • Sensor Technology

Background:

  • Gas sensors are increasingly vital, particularly for Internet of Things (IoT) applications, driving demand for miniaturized, integrated, modular, and intelligent devices.
  • Current research faces a bottleneck in interface circuit development, hindering progress in gas sensor size, power efficiency, and smart capabilities.

Purpose of the Study:

  • To propose a novel micro-electro-mechanical systems (MEMS) gas sensor interface circuit designed to overcome existing technological limitations.
  • To enhance the performance of gas sensors in terms of volume, power consumption, and intelligence through advanced circuit design.

Main Methods:

  • Development of a MEMS gas sensor interface circuit utilizing analog-to-digital converter (ADC) technology.
  • Implementation using the Huahong 110 nm process with a 3.3 V working voltage.
  • Post-layout simulation to verify the circuit's functionality and performance.

Main Results:

  • The designed circuit can detect resistance changes from 100 Ω to 1 MΩ.
  • Achieved a conversion error within the range of 0.5% to 1%.
  • Demonstrated a maximum power consumption of 986 μW with an overall layout area of 0.49 × 0.77 mm².

Conclusions:

  • The proposed MEMS gas sensor interface circuit effectively addresses the limitations of current technologies.
  • The circuit's performance, verified through simulation, shows significant potential for advancing gas sensing in IoT and other applications.
  • This work paves the way for more compact, power-efficient, and intelligent gas sensor systems.