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May 7, 2026Sensors0 citationsOpen Access

Precision Gas Sensing Interface Circuit with Digital Potentiometer-Based Dynamic Gain Control

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SKSoon-Kyu KwonHKHyeon‐June Kim

Key Points

  • This research aims to develop a gas sensing interface that maintains detection stability under extreme environmental conditions.
  • Developed a digital potentiometer-based adaptive gas sensor interface.
  • Implemented a real-time control algorithm to adjust amplifier and attenuator gains.
  • Conducted experiments to test the interface's performance against ADC input limits.
  • The interface maintained stability with a buffer voltage of 2.75 V, exceeding the 1.2 V ADC limit.
  • Achieved a Mean Absolute Percentage Error of 1.628% for sensor resistance data.
  • Recorded a maximum relative error under 4.8% in various environmental conditions.

Abstract

This paper proposes a digital potentiometer-based adaptive gas sensor interface for stable detection without signal saturation under extreme environmental fluctuations. Conventional fixed-gain circuits often suffer from limited dynamic range, leading to data loss when severe baseline drifts exceed ADC input limits. To address this, we developed a real-time control algorithm that actively adjusts attenuator and amplifier gains, maintaining the ADC input voltage (VADC) near the common-mode voltage (VCM). Experimental results demonstrate that the interface remains stable even when the buffer voltage reaches 2.75 V, significantly surpassing the 1.2 V ADC limit. Sensor resistance data, reconstructed by inversely calculating updated circuit parameters, achieved high accuracy with a Mean Absolute Percentage Error (MAPE) of 1.628% and a maximum relative error under 4.8%. Consequently, this study proves that logically extending the physically limited ADC dynamic range enables high-precision gas sensing in diverse environments without requiring high-performance computing devices. This approach provides a cost-effective and robust solution for compact IoT-based gas monitoring systems.

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Cite This Study

Kwon et al. (2026) studied this question.

synapsesocial.com/papers/69fc2c4b8b49bacb8b347da5https://doi.org/10.3390/s26092887
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