N.N. Semenov Federal Research Center for Chemical Physics of RAS, Moscow 119991, Russia.
Biomedical and Process Modeling Lab, University of Central Florida, Orlando, FL 32816, USA.
Int J Mol Sci. 2023 Jan 13;24(2):1570. doi: 10.3390/ijms24021570.
The paper considers the relationship between the structure and properties of nanostructured conductometric sensors based on binary mixtures of semiconductor oxides designed to detect reducing gases in the environment. The sensor effect in such systems is determined by the chemisorption of molecules on the surface of catalytically active particles and the transfer of chemisorbed products to electron-rich nanoparticles, where these products react with the analyzed gas. In this regard, the role is evaluated of the method of synthesizing the composites, the catalytic activity of metal oxides (CeO, SnO, ZnO), and the type of conductivity of metal oxides (CoO, ZrO) in the sensor process. The effect of oxygen vacancies present in the composites on the performance characteristics is also considered. Particular attention is paid to the influence of the synthesis procedure for preparing sensitive layers based on CeO-InO on the structure of the resulting composites, as well as their conductive and sensor properties.
本文考虑了基于设计用于检测环境中还原气体的半导体氧化物二元混合物的纳米结构电导传感器的结构和性能之间的关系。在这样的系统中,传感器效应是由分子在催化活性颗粒表面上的化学吸附以及化学吸附产物向富含电子的纳米颗粒的转移决定的,在那里这些产物与被分析的气体反应。在这方面,评估了合成复合材料的方法、金属氧化物(CeO、SnO、ZnO)的催化活性以及金属氧化物(CoO、ZrO)的导电性在传感器过程中的作用。还考虑了复合材料中存在的氧空位对性能特性的影响。特别关注基于 CeO-InO 制备敏感层的合成程序对所得复合材料的结构以及其导电和传感器性能的影响。