光催化
光降解
煅烧
催化作用
可见光谱
异质结
材料科学
化学工程
吸附
降级(电信)
X射线光电子能谱
热液循环
纳米技术
光化学
化学
光电子学
有机化学
计算机科学
电信
工程类
作者
Dianxiang Peng,Yueting Wang,Hongfei Shi,Wei Jiang,Tao Jin,Zhaohui Jin,Zhe Chen
标识
DOI:10.1016/j.jcis.2021.10.179
摘要
The design and development of efficient and durable catalysts with visible-light response for photocatalytic hydrogen production and pollutants degradation is considered as one of the most challenging tasks. In present work, a novel Cu2WS4/NiTiO3 (abbreviated as × CWS/NTO; x = 0.25, 0.50, 0.75 and 1.00) composite was prepared via a facile electrospinning/calcination technique along with a convenient hydrothermal method. The as-prepared CWS/NTOcomposite was composed of 2D CWS nanosheets and 1D NTO nanofibers manifested by SEM and TEM images. The results of XPS verified the interfacial interaction between CWS and NTO, confirming the heterojunction formation in CWS/NTOcomposite. Photocatalytic tests demonstrated as-prepared CWS/NTO catalysts exhibited outstanding and stable photocatalytic performances for H2 production and pollutants degradation under visible light (λ > 420 nm) irradiation. Specially, 0.50 CWS/NTO sample displayed the highest H2-evolution activity of 810 μmol·g-1·h-1 with the apparent quantum efficiency (AQE) value of 1.65 % at 420 nm. Additionally, it also exhibited the optimal photodegradation properties with the rate constants of 0.030, 0.413 and 0.028 min-1 for TC, RhB and Cr(VI), respectively. The excellent catalytic activities could be attributed to the enhanced visible-light adsorption, high specific surface area and efficient separation of photogenerated charge carriers. The ESR tests and free radicals capturing experiments confirmed that ·O2- and h+ were primary active species for TC/RhB degradation. Eventually, the probable catalytic mechanism was put forward and detailly analysed. The present work provides perspectives of rational design on NiTiO3-based catalysts with superior photocatalytic performance for energy regeneration and environmental remediation.
科研通智能强力驱动
Strongly Powered by AbleSci AI