Bak Na-Hyun, Pasupuleti Kedhareswara Sairam, Maddaka Reddeppa, Shim Yun-Hae, Pham Thu Thi Minh, Kim Young Heon, Kim Moon-Deock
Department of Physics, Chungnam National University, 99 Daehak-road, Yuseong-gu, Daejeon 34134, Republic of Korea.
Department of Physics and Institute of Quantum Systems (IQS), Chungnam National University, 99 Daehak-road, Yuseong-gu, Daejeon 34134, Republic of Korea.
ACS Sens. 2025 Feb 28;10(2):709-716. doi: 10.1021/acssensors.4c01993. Epub 2025 Jan 22.
Rational design of heterostructure (HS)-based surface acoustic wave (SAW) smart gas sensors for efficient and accurate subppm level ammonia (NH) detection at room temperature (RT) is of great significance in environmental protection and human safety. This study introduced a novel HS composed of an AlN-based SAW resonator and CuO nanoparticles (NPs) as a chemical interface for NH detection at RT (∼26 °C). The structural, morphological, and chemical compositions were detailly investigated, which demonstrates that the CuO/AlN HS was successfully formed via interfacial modulation. The CuO/AlN HS SAW sensor exhibited a significant positive frequency shift of 52.60 kHz in response to 100 ppm of NH, which is 4.8 times higher than that of the as-grown AlN SAW sensor. Additionally, the CuO/AlN HS SAW sensor exhibited ultrafast response/recovery times of 5/25 s, a remarkably low limit of detection (LOD) of 24 ppb, and excellent long-term stability and selectivity. These results are attributed to the high porosity and defect sites of CuO NPs, which enhanced charge transfer at the heterointerface, as well as decreased mass loading and conductivity effects. The CuO/AlN HS SAW sensor also demonstrated distinct frequency responses to 100 ppm of NH, under varying relative humidity (RH): a positive shift at low RH (5%-10%) due to increased conductivity, and a negative shift at high RH (20%-80%) due to enhanced mass loading. These NH gas sensing characteristics of the CuO/AlN HS SAW sensor were validated through X-ray photoelectron spectroscopy band diagram analysis and resistive-type gas sensing measurements. These findings highlight the potential of the integrating metal oxide with nitride semiconductors for advanced SAW-based gas sensing technology in environmental and industrial applications.
合理设计基于异质结构(HS)的表面声波(SAW)智能气体传感器,以在室温(RT)下高效、准确地检测亚ppm级氨气(NH₃),这对环境保护和人类安全具有重要意义。本研究引入了一种新型的异质结构,它由基于AlN的SAW谐振器和CuO纳米颗粒(NPs)组成,作为在室温(约26°C)下检测NH₃的化学界面。对其结构、形态和化学成分进行了详细研究,结果表明通过界面调制成功形成了CuO/AlN异质结构。CuO/AlN异质结构SAW传感器在响应100 ppm的NH₃时表现出52.60 kHz的显著正频率偏移,这比生长态的AlN SAW传感器高出4.8倍。此外,CuO/AlN异质结构SAW传感器表现出超快的响应/恢复时间,分别为5/25秒,极低的检测限(LOD)为24 ppb,以及出色的长期稳定性和选择性。这些结果归因于CuO NPs的高孔隙率和缺陷位点,它们增强了异质界面处的电荷转移,同时降低了质量负载和电导率效应。CuO/AlN异质结构SAW传感器在不同相对湿度(RH)下对100 ppm的NH₃也表现出明显的频率响应:在低RH(5%-10%)时由于电导率增加而出现正偏移,在高RH(20%-80%)时由于质量负载增加而出现负偏移。通过X射线光电子能谱能带图分析和电阻型气体传感测量,验证了CuO/AlN异质结构SAW传感器的这些NH₃气敏特性。这些发现突出了将金属氧化物与氮化物半导体集成用于先进的基于SAW的气体传感技术在环境和工业应用中的潜力。