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利用电子陷阱能量分辨密度识别金属氧化物粉末的新概念

A Novel Concept of Identification of Metal-oxide Powders by Energy-resolved Density of Electron Traps
课程网址: http://videolectures.net/preglov_ohtani_metal_oxide_powders/  
主讲教师: Bunsho Ohtani
开课单位: 北海道大学
开课时间: 2017-08-22
课程语种: 英语
中文简介:

新开发的反向双光束光声光谱 (RDB) 评估了金属氧化物颗粒中电子陷阱 (ERDT) 和导带底部 (CBB) 的能量分辨分布作为价带 (VB) 顶部能量的函数PAS),其中通过光声光谱 (PAS) 使用 625 nm 的调制 LED 光测量通过强连续光照射直接从 VB 激发的 ET 中电子的光吸收。在本研究中,如何使用 ERDT/CBB 图案作为指纹识别具有带隙和 ETs 的金属氧化物(二氧化钛、氧化铌等)粒子,通过加权重合度乘以 ERDT 图案的重合度,总计讨论了ETs和CBB的密度,以及ERDT/CBB模式的符合程度与光催化活性之间的相关性。

课程简介: Energy-resolved distribution of electron traps (ERDT) as well as conduction-band bottom (CBB) in metal oxide particles as a function of energy from valence-band (VB) top has been evaluated by newly developed reversed double-beam photoacoustic spectroscopy (RDB-PAS), in which photoabsorption of electrons in ETs directly excited from VB by irradiation of intense continuous light is measured by photoacoustic spectroscopy (PAS) using modulated LED light at 625 nm. In this study, how to use ERDT/CBB patterns as a finger print for identification of metal oxide (titania, niobia and the others) particles having band gap and ETs by weighted degree of coincidence multiplied by the degrees of coincidence of ERDT patterns, total density of ETs and CBB, and correlation between degree of coincidences of ERDT/CBB patterns and photocatalytic activities are discussed.
关 键 词: 反向双光束光声光谱; 金属氧化物颗粒; 光催化活性
课程来源: 视频讲座网
数据采集: 2021-08-12:nkq
最后编审: 2021-08-28:nkq
阅读次数: 63