Abstract
This study presents a portable gas sensor system that achieves high performance while minimizing power consumption and production costs for biomedical applications. The proposed system integrates a low-power readout integrated circuit (ROIC) capable of processing large-amplitude sensor signals using a 1.2 V ADC, significantly reducing the power consumption compared with conventional high-voltage solutions. To address the inherent limitations of single-core/single-thread microcontrollers, an optimized Wi-Fi communication algorithm is implemented, enabling real-time data transmission and accurate signal reconstruction without data loss. Experimental validation using a hydrogen gas detection setup demonstrated that the system achieves less than 0.15% error in reconstructed signals, while substantially reducing overall power consumption and component cost. Comparative analysis confirms that the proposed approach achieves a performance comparable to conventional systems while offering significant reductions in energy usage and hardware expense. These results demonstrate the feasibility of a scalable, low-cost solution for portable gas sensing, particularly in biomedical applications requiring precise and reliable monitoring.
| Original language | English |
|---|---|
| Article number | 303 |
| Journal | Chemosensors |
| Volume | 13 |
| Issue number | 8 |
| DOIs | |
| State | Published - Aug 2025 |
Keywords
- Wi-Fi communication algorithm
- adaptive signal processing
- biomedical gas sensing
- cost-effective sensor system design
- low-power readout circuit
- portable gas sensor system
- single-core MCU optimization
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