Suppr超能文献

阳离子取代对三元尖晶石MCoO(M = Mn、Ni和Zn)多壳层空心双球气敏性能的影响

Effect of Cation Substitution on the Gas-Sensing Performances of Ternary Spinel MCoO (M = Mn, Ni, and Zn) Multishelled Hollow Twin Spheres.

作者信息

Zhou Tingting, Cao Shuang, Zhang Rui, Tu Jinchun, Fei Teng, Zhang Tong

机构信息

State Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering , Jilin University , Changchun 130012 , P. R. China.

State Key Laboratory of Marine Resource Utilization in South China Sea, College of Materials and Chemical Engineering , Hainan University , Haikou 570228 , P. R. China.

出版信息

ACS Appl Mater Interfaces. 2019 Aug 7;11(31):28023-28032. doi: 10.1021/acsami.9b07546. Epub 2019 Jul 22.

Abstract

Advanced sensing materials are in high demand for sensitive, real-time, and continuous detection of gas molecules for gas sensors, which have been becoming an effective tool for environmental monitoring and disease diagnosis. Cobalt-containing spinel oxides are promising sensing materials for the gas-sensing reaction owing to their element abundance and remarkable activity. Structural and component properties can be modulated to optimize the sensing performances by substituting Co with other transition metals. Herein, a systematic study of spinel MCoO oxides (M = Mn, Ni, and Zn) toward gas sensing is presented. Results show that ZnCoO materials with a multishelled hollow twin-sphere structure obtained excellent sensing performances to formaldehyde and acetone at different temperatures. The replacement of Co with Zn in the lattice improves the oxygen-chemisorbing ability, which allows new opportunities to synthesize and design highly sensitive chemical sensors.

摘要

先进的传感材料对于气体传感器灵敏、实时且连续地检测气体分子至关重要,气体传感器已成为环境监测和疾病诊断的有效工具。含钴尖晶石氧化物因其元素丰富和显著的活性,是用于气敏反应的有前景的传感材料。通过用其他过渡金属替代钴,可以调节结构和成分性质以优化传感性能。在此,对尖晶石MCoO氧化物(M = Mn、Ni和Zn)的气敏性能进行了系统研究。结果表明,具有多壳空心双球结构的ZnCoO材料在不同温度下对甲醛和丙酮具有优异的传感性能。在晶格中用Zn替代Co提高了氧化学吸附能力,这为合成和设计高灵敏度化学传感器提供了新机会。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验