A Self-Powered Portable Nanowire Array Gas Sensor for Dynamic NO 2 Monitoring at Room Temperature.
Shiyu WeiZhe LiKrishnan MurugappanZiyuan LiFanlu ZhangAswani Gopakumar SaraswathyvilasamMykhaylo LysevychHark Hoe TanChennupati JagadishAntonio TricoliLan FuPublished in: Advanced materials (Deerfield Beach, Fla.) (2023)
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 2 sensors for air pollution monitoring, have limited sensitivity, selectivity, and scalability. Here, a novel photovoltaic self-powered NO 2 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 2 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.
Keyphrases
- room temperature
- ionic liquid
- healthcare
- air pollution
- high resolution
- health information
- cardiovascular disease
- loop mediated isothermal amplification
- human health
- high throughput
- life cycle
- electronic health record
- machine learning
- type diabetes
- social media
- big data
- high intensity
- chronic obstructive pulmonary disease
- mass spectrometry
- virtual reality
- current status
- artificial intelligence
- capillary electrophoresis
- carbon dioxide