Song Zhilong, Tian Yi, Kang Yue, Yan Jia
Institute for Energy Research, School of Future Technology, Jiangsu University, Zhenjiang 212013, China.
Ai-Sensing Technology Co., Ltd., Foshan 528000, China.
Sensors (Basel). 2025 Aug 3;25(15):4784. doi: 10.3390/s25154784.
The development of gas sensors with high sensitivity and low operating temperatures is essential for practical applications in environmental monitoring and industrial safety. SnO-based gas sensors, despite their widespread use, often suffer from high working temperatures and limited sensitivity to H gas, which presents significant challenges for their performance and application. This study addresses these issues by introducing a novel SnO-based sensor featuring a three-dimensional (3D) nanostructure, designed to enhance sensitivity and allow for room-temperature operation. This work lies in the use of a 3D anodic aluminum oxide (AAO) template to deposit SnO nanoparticles through ultrasonic spray pyrolysis, followed by modification with platinum (Pt) nanoparticles to further enhance the sensor's response. The as-prepared sensors were extensively characterized, and their H sensing performance was evaluated. The results show that the 3D nanostructure provides a uniform and dense distribution of SnO nanoparticles, which significantly improves the sensor's sensitivity and repeatability, especially in H detection at room temperature. This work demonstrates the potential of utilizing 3D nanostructures to overcome the traditional limitations of SnO-based sensors.
开发具有高灵敏度和低工作温度的气体传感器对于环境监测和工业安全的实际应用至关重要。基于SnO的气体传感器尽管应用广泛，但往往工作温度高，对氢气的灵敏度有限，这对其性能和应用提出了重大挑战。本研究通过引入一种新型的基于SnO的传感器来解决这些问题，该传感器具有三维（3D）纳米结构，旨在提高灵敏度并实现室温操作。这项工作在于使用3D阳极氧化铝（AAO）模板通过超声喷雾热解沉积SnO纳米颗粒，然后用铂（Pt）纳米颗粒进行改性以进一步提高传感器的响应。对所制备的传感器进行了广泛的表征，并评估了它们的氢气传感性能。结果表明，3D纳米结构提供了均匀且密集分布的SnO纳米颗粒，这显著提高了传感器的灵敏度和重复性，特别是在室温下对氢气的检测。这项工作证明了利用3D纳米结构克服基于SnO的传感器传统局限性的潜力。
