Xukeer Aerzigu, Wu Zhaofeng, Sun Qihua, Zhong Furu, Zhang Min, Long Mengqiu, Duan Haiming
School of Physics Science and Technology, Xinjiang University Urumqi Xinjiang 830046 P. R. China
School of Physics and Electronic Science, Zunyi Normal College Zunyi 563006 Guizhou P. R. China.
RSC Adv. 2020 Aug 17;10(51):30428-30438. doi: 10.1039/d0ra01375g.
Perovskite YFe Mn O with a hierarchical structure were prepared by a simple hydrothermal method and used as gas sensing materials. The structure, morphology and composition of YFe Mn O were investigated using X-ray diffraction, transmission electron microscopy, scanning electron microscopy and X-ray photoelectron spectroscopy. The gas sensing test showed that all YFe Mn O perovskites with different Mn doping concentrations displayed fast response and recovery characteristics to multiple analytes as well as good stability and recoverability. With the increase of Mn doping concentration, the response of YFe Mn O to four kinds of target atmospheres first increases, then decreases. The sensing performance of YFe Mn O is best when = 0.05. Compared with pure YFeO, the responses of YFeMnO to 1000 ppm of CHO, CHO, HO and 100% relative humidity were increased by 835%, 1462%, 812% and 801%, respectively. The theoretical detection limit of YFeMnO for HO and CHO is 1.75 and 2.55 ppb, respectively. Furthermore, the possibility of buildings a sensor array based on YFe Mn O with different doping concentrations was evaluated by principal component analysis and radar chart analysis. It is feasible to realize the visual and discriminative detection of the target analyte by constructing sensor arrays through radar chart analysis and database construction.
采用简单水热法制备了具有分级结构的钙钛矿YFeMnO，并将其用作气敏材料。利用X射线衍射、透射电子显微镜、扫描电子显微镜和X射线光电子能谱对YFeMnO的结构、形貌和组成进行了研究。气敏测试表明，所有不同Mn掺杂浓度的YFeMnO钙钛矿对多种分析物均表现出快速响应和恢复特性，以及良好的稳定性和可恢复性。随着Mn掺杂浓度的增加，YFeMnO对四种目标气氛的响应先增大后减小。当x = 0.05时，YFeMnO的传感性能最佳。与纯YFeO相比，YFeMnO对1000 ppm的CH₃OH、C₂H₅OH、H₂O和100%相对湿度的响应分别提高了835%、1462%、812%和801%。YFeMnO对H₂O和CH₃OH的理论检测限分别为1.75和2.55 ppb。此外，通过主成分分析和雷达图分析评估了构建基于不同掺杂浓度YFeMnO的传感器阵列的可能性。通过雷达图分析和数据库构建构建传感器阵列，实现对目标分析物的可视化和判别检测是可行的。
