光催化
光电流
光致发光
介电谱
石墨氮化碳
材料科学
光谱学
苯酚
化学工程
光化学
化学
电化学
催化作用
电极
物理化学
光电子学
有机化学
工程类
物理
量子力学
作者
Yingying Wang,Wenjuan Yang,Xianjie Chen,Jun Wang,Yongfa Zhu
标识
DOI:10.1016/j.apcatb.2017.08.004
摘要
The g-C3N4@TiO2 core-shell structure photocatalysts with controlled ultrathin g-C3N4 layer (0 nm, 1.0 nm, 1.5 nm, 3.0 nm) were prepared by a new method of the sol-gel approaches in situ coating re-assembled. The g-C3N4@TiO2 sample with 1.0 nm thickness of shell layers has the highest visible light photocatalytic degradation phenol activity which is almost 7.2 times as high as that of bulk g-C3N4. The highest photocurrent response intensity is increased by ten times higher than that of g-C3N4 and five orders of magnitude compare to TiO2. The removal rate of phenol using g-C3N4@TiO2 core-shell catalyst is 30% and the degree of mineralization by the same catalyst is 19.8%, which dramatically increase compared with that of g-C3N4 and TiO2. The enhanced performance of the degradation phenol and the mineralization is owing to effective charge separation revealed by the photoluminescence (PL), electrochemical impedance spectroscopy (EIS) and density functional theory calculations (DFT), superoxide radicals as the main oxidative species proved by electron spin resonance spectroscopy (ESR). And the core-shell structure could effectively promote the electron transfer from g-C3N4 to TiO2 during the catalytic process. The results of repetitive experiment and cycle experiment show that the g-C3N4@TiO2 has a strong binding force between the core and shell, which is stable, without secondary pollution and convenient for recovery. What's more, the results revealed the law between the different g-C3N4 shell layers (0 nm, 1.0 nm, 1.5 nm, 3.0 nm) over the g-C3N4@TiO2 samples and the corresponding catalytic activity, which successfully established the structure-activity relationship. A new catalytic concept namely layer-dependent effect was found, that is number of layers over g-C3N4 of the core-shell structure determines photocatalytic activity.
科研通智能强力驱动
Strongly Powered by AbleSci AI