研究目的
To develop room-temperature NO2 gas sensors using p-type semiconductors with enhanced sensing performance.
研究成果
The black NiO samples with special morphology, large specific surface area, abundant Ni3+ ions, and rich oxygen vacancies exhibit good response towards ppb-level NO2 activated by visible lights at room temperature. The detection limit is as low as 57 ppb. The incorporation of abundant Ni3+ ions and oxygen vacancies, as well as specific morphology and large specific surface area, contribute to excellent room-temperature NO2 gas sensing performance with visible light stimulation. Blue light is the optimal source to achieve the best sensing performance at room temperature.
研究不足
The study focuses on the development of room-temperature NO2 gas sensors using p-type semiconductors, but the sensitivity and response time may still need improvement for practical applications. The effect of humidity on sensor performance, although less than n-type semiconductors, still presents a challenge that needs to be addressed.
1:Experimental Design and Method Selection:
Three kinds of NiO samples were synthesized by different methods, hydrothermal method from nickel nitrate, and two precipitation methods from nickel malonate and nickel sulfate precursors.
2:Sample Selection and Data Sources:
The prepared NiO powders were mixed with terpineol to form a homogenous paste, and then the paste was screen printed on the commercial alumina sensor substrates.
3:List of Experimental Equipment and Materials:
Multi-Functional X-ray Diffractometer (XRD, D8 Advance, Bruker AXS, Germany), X-ray photoelectron spectroscopy (XPS, ESCALAB 250Xi, Thermo Scientific, USA), Field-emission scanning electron microscopy (FE-SEM, S4800II, Hitachi, Japan), UV–Vis diffuse reflectance spectrophotometer (Cary5000, Varian, USA).
4:Experimental Procedures and Operational Workflow:
The gas sensing tests were performed in a home-made gas sensing measuring system. LED lamps with different wavelengths were installed in front of the NiO sensors.
5:Data Analysis Methods:
The sensing performance was evaluated based on the response, response time, and recovery time under different light wavelengths and humidity conditions.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容