3"/>

Fine-Tuning Intermolecular and Intramolecular Interactions to Build the Films of Tris(Phthalocyaninato) Rare Earth Complexes and Their Comparative Performances in Ambipolar Gas Sensing

IEEE Transactions on Electron Devices(2019)

引用 8|浏览4
暂无评分
摘要
High-performance ambipolar chemical sensors toward electron-detonating NH 3 and electron-accepting NO 2 are obtained based on the solution-based films of two ambipolar ( ${p}$ -fluoro)phenoxy substituted tris(phthalocyaninato) rare earth semiconductors with different metal ions, named Gd 2 [Pc(OPhF) 8 ] 3 (1) and Tb 2 [Pc(OPhF) 8 ] 3 (2). Measurements over the films fabricated from 1 and 2 by a simple quasi-Langmuir–Shäfer (QLS) method reveal their ambipolar semiconductor nature, with a ${p}$ -type response in NH 3 sensing and n-type response in NO 2 sensing, associated with not only suitable highest occupied molecular orbital and lowest unoccupied molecular orbital energy levels but also the different electronic induction effects of the analytes. Interestingly, the devices from the QLS film of 2 with a weaker intermolecular $\pi $ $\pi $ stacking in J-type (edge-to-edge) packing mode display much better sensing properties to both NH 3 and NO 2 , compared to those from QLS film of 1 with a stronger intermolecular $\pi $ $\pi $ stacking in the H-type (face-to-face) packing mode. This is mainly because of the larger specific surface area from the J-aggregate with the more uniform-sized nanoparticles for the QLS film of 2. In particular, the highly sensitive, stable, and reproducible responses to 1–20-ppm NH 3 with a limit of detection of 0.15 ppm only in 1 min are obtained from the QLS film of 2 for the first time. This paper unravels, first, the effect of central metal ions of sandwich triple-deckers on molecular stacking mode, film structure, and gas sensing performances, which would be helpful for designing and preparing high-performance ambipolar gas sensor devices by combining the molecular design and the device fabrication technique.
更多
查看译文
关键词
Compounds,Metals,Orbits,Stacking,Ions,Gas detectors
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要