Wei Shiyu, Li Zhe, Murugappan Krishnan, Li Ziyuan, Zhang Fanlu, Saraswathyvilasam Aswani Gopakumar, Lysevych Mykhaylo, Tan Hark Hoe, Jagadish Chennupati, Tricoli Antonio, Fu Lan
Australian Research Council Centre of Excellence for Transformative Meta-Optical Systems, Department of Electronic Materials Engineering, Research School of Physics, The Australian National University, Canberra, ACT, 2601, Australia.
Department of Electronic Materials Engineering, Research School of Physics, The Australian National University, Canberra, ACT, 2601, Australia.
Adv Mater. 2023 Mar;35(12):e2207199. doi: 10.1002/adma.202207199. Epub 2023 Jan 1.
The fast development of the Internet of Things (IoT) has driven an increasing consumer demand for self-powered gas sensors for real-time data collection and autonomous responses in industries such as environmental monitoring, workplace safety, smart cities, and personal healthcare. Despite intensive research and rapid progress in the field, most reported self-powered devices, specifically NO sensors for air pollution monitoring, have limited sensitivity, selectivity, and scalability. Here, a novel photovoltaic self-powered NO sensor is demonstrated based on axial p-i-n homojunction InP nanowire (NW) arrays, that overcome these limitations. The optimized innovative InP NW array device is designed by numerical simulation for insights into sensing mechanisms and performance enhancement. Without a power source, this InP NW sensor achieves an 84% sensing response to 1 ppm NO and records a limit of detection down to the sub-ppb level, with little dependence on the incident light intensity, even under <5% of 1 sun illumination. Based on this great environmental fidelity, the sensor is integrated into a commercial microchip interface to evaluate its performance in the context of dynamic environmental monitoring of motor vehicle exhaust. The results show that compound semiconductor nanowires can form promising self-powered sensing platforms suitable for future mega-scale IoT systems.
物联网(IoT)的快速发展推动了消费者对自供电气体传感器的需求不断增加,以便在环境监测、工作场所安全、智能城市和个人医疗保健等行业中进行实时数据收集和自主响应。尽管该领域进行了深入研究并取得了快速进展,但大多数已报道的自供电设备,特别是用于空气污染监测的NO传感器,其灵敏度、选择性和可扩展性都有限。在此,展示了一种基于轴向p-i-n同质结InP纳米线(NW)阵列的新型光伏自供电NO传感器,该传感器克服了这些限制。通过数值模拟设计了优化的创新InP NW阵列器件,以深入了解传感机制并提高性能。在无电源的情况下,这种InP NW传感器对1 ppm NO的传感响应达到84%,检测限低至亚ppb水平,即使在<5%的一个太阳光照下,对入射光强度的依赖性也很小。基于这种出色的环境保真度,该传感器被集成到一个商业微芯片接口中,以评估其在机动车尾气动态环境监测中的性能。结果表明,化合物半导体纳米线可以形成适用于未来大规模物联网系统的有前景的自供电传感平台。