Ciftyurek Engin, Li Zheshen, Schierbaum Klaus
Department of Materials Science, Institute for Experimental Condensed Matter Physics, Heinrich Heine University of Düsseldorf, 40225 Düsseldorf, Germany.
ASTRID2 Synchrotron Light Source, ISA, Centre for Storage Ring Facilities, Department of Physics and Astronomy, Aarhus University, Ny Munkegade 120, 8000C Aarhus, Denmark.
Sensors (Basel). 2024 Nov 30;24(23):7694. doi: 10.3390/s24237694.
We report the results of a zinc oxide (ZnO) low-power microsensor for sub-ppm detection of NO and HS in air at 200 °C. NO emission is predominantly produced by the combustion processes of fossil fuels, while coal-fired power plants are the main emitter of HS. Fossil fuels (oil, natural gas, and coal) combined contained 74% of USA energy production in 2023. It is foreseeable that the energy industry will utilize fossil-based fuels more in the ensuing decades despite the severe climate crises. Precise NO and HS sensors will contribute to reducing the detrimental effect of the hazardous emission gases, in addition to the optimization of the combustion processes for higher output. The fossil fuel industry and solid-oxide fuel cells (SOFCs) are exceptional examples of energy conversion-production technologies that will profit from advances in HS and NO sensors. Porosity and surface activity of metal oxide semiconductor (MOS)-based sensors are both vital for sensing at low temperatures. Oxygen vacancies (VO••) act as surface active sites for target gases, while porosity enables target gases to come in contact with a larger MOS area for sensing. We were able to create an open porosity network throughout the ZnO microstructure and simultaneously achieve an abundance of oxygen vacancies by using a heat treatment procedure. Surface chemistry and oxygen vacancy content in ZnO were examined using XPS and AES. SEM was used to understand the morphology of the unique characteristics of distinctive grain growth during heat treatment. Electrical resistivity measurements were completed. The valance band was examined by UPS. The Engineered Porosity approach allowed the entire ZnO to act as an open surface together with the creation of abundant oxygen vacancies (VO••). NO detection is challenging since both oxygen (O) and NO are oxidizing gases, and they coexist in combustion environments. microsensor detected sub-ppm NO under O interference, which affects mimicking realistic sensor operation conditions. performed better than the previous literature findings for HS and NO detection. The exceptionally high sensor response is attributed to the VO•• and . These features enhance gas adsorption and diffusion via porosity, leading to high sensor response.
我们报告了一种氧化锌(ZnO)低功耗微传感器的测试结果,该传感器用于在200°C下对空气中的亚ppm级NO和H₂S进行检测。NO排放主要源自化石燃料的燃烧过程,而燃煤发电厂是H₂S的主要排放源。2023年,化石燃料(石油、天然气和煤炭)合计占美国能源产量的74%。可以预见,尽管气候危机严峻,但在接下来的几十年里,能源行业对化石燃料的使用仍会增加。精确的NO和H₂S传感器除了有助于优化燃烧过程以提高产量外,还将有助于减少有害排放气体的不利影响。化石燃料行业和固体氧化物燃料电池(SOFC)是能源转换生产技术的典型例子,它们将受益于H₂S和NO传感器的进展。基于金属氧化物半导体(MOS)的传感器的孔隙率和表面活性对于低温传感都至关重要。氧空位(VO••)作为目标气体的表面活性位点,而孔隙率使目标气体能够与更大的MOS面积接触以进行传感。通过使用热处理程序,我们能够在整个ZnO微结构中创建一个开放的孔隙网络,并同时实现大量的氧空位。使用XPS和AES检查了ZnO中的表面化学和氧空位含量。使用SEM来了解热处理过程中独特晶粒生长的独特特征的形态。完成了电阻率测量。通过UPS检查价带。工程孔隙率方法使整个ZnO与大量氧空位(VO••)的产生一起充当开放表面。由于氧气(O)和NO都是氧化性气体,并且它们在燃烧环境中共存,因此NO检测具有挑战性。该微传感器在O干扰下检测到亚ppm级的NO,这影响了对实际传感器操作条件的模拟。对于H₂S和NO检测,其表现优于先前的文献研究结果。异常高的传感器响应归因于VO••和 。这些特性通过孔隙率增强了气体吸附和扩散,从而导致高传感器响应。