纳米棒
材料科学
吸附
纳米技术
杂质
纺纱
光电子学
氧气
兴奋剂
电化学气体传感器
化学工程
电子
分析化学(期刊)
电极
带隙
氢
价(化学)
响应时间
氧化物
欧姆接触
检出限
作者
Jiale Wang,Xinyu Zhao,Xiaofeng Li,Rundong Xue,Dan Li,Feng Li,Ying Yang,T. Wang,Duanduan Yin,Xiangting Dong
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2026-02-11
卷期号:11 (2): 1579-1591
标识
DOI:10.1021/acssensors.5c03942
摘要
Traditional triethylamine (TEA) gas sensors suffer from the drawback of high detection limits due to the low charge-transfer ability of materials. Herein, the Pr3+-doped WO3 one-dimensional (1D) yoga-pillar-shaped nanorods have been successfully synthesized via electrostatic spinning and oxidative calcination. The gas sensor based on WO3:1%Pr3+ 1D yoga-pillar-shaped nanorods exhibits excellent performance in terms of rapid response (3-fold), higher response (3.75-fold), and lower detection limits compared with the WO3 gas sensor. Furthermore, the sensor features excellent repeatability and long-term stability, indicating the potential commercial value. The findings reveal that doping Pr3+ is one of the effective strategies to improve the gas-sensing performance of WO3. Based on the above analysis, as well as literature reports, the gas-sensing mechanism is explored systematically. The enhancement can be attributed to the formation of impurity energy levels, which can effectively optimize the band structure and facilitate electron transfer. The recombination between electrons in the conduction band and holes in the valence band is partly suppressed, providing more opportunities for electron exchange between WO3 and oxygen molecules. The content of chemically adsorbed oxygen on the WO3 surface has significantly increased, which is one of the fundamental reasons for the improvement in gas sensitivity. In addition, the practical value of the WO3:1%Pr3+ 1D yoga-pillar-shaped nanorod gas sensor is demonstrated by testing the freshness of fish stored under various conditions. This work presents a high-performance ppb-level TEA detection method and broadens the application scope of WO3 gas sensors.
科研通智能强力驱动
Strongly Powered by AbleSci AI