Efficient photocatalytic hydrogen evolution over graphdiyne boosted with a cobalt sulfide formed S-scheme heterojunction

CHINESE JOURNAL OF CATALYSIS(2022)

引用 148|浏览15
暂无评分
摘要
Graphdiyne (GDY, g-CnH2n-2), a novel two-dimensional carbon hybrid material, has attracted significant attention owing to its unique and excellent properties. As a new type of carbon material, GDY has a layered structure and can be used in the field of photocatalytic water splitting. Therefore, herein, new progress in the preparation of graphene using CuI powder as a catalytic material and the combination of a facile hydrothermal method to prepare a new composite material, Co9S8-GDY-CuI, is reported. The hydrogen production activity of Co9S8-GDY-CuI in the sensitization system reached 1411.82 mu mol g(-1) h(-1), which is 10.29 times that of pure GDY. A series of characterization techniques were used to provide evidence for the successful preparation of the material and its superior photocatalytic activity. Raman spectroscopy showed that the material contains acetylenic bonds, and the X-ray photoelectron spectroscopy carbon fitting peaks indicated the presence of C-C(sp(2)) and C-C(sp), further demonstrating that GDY was successfully prepared. A possible reaction mechanism was proposed by making use of UV-visible diffuse reflectance and Mott-Schottky analyses. The results showed that a double S-scheme heterojunction was constructed between the samples, which effectively accelerated the separation and transfer of electrons. In addition, the introduction of Co9S8 nanoparticles greatly improved the visible light absorption capacity of Co9S8-GDY-CuI. Photoluminescence spectroscopy and related electrochemical characterization further proved that recombination of the electron-hole pairs in the composite material was effectively suppressed. (C) 2022, Dalian Institute of Chemical Physics, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.
更多
查看译文
关键词
Graphdiyne,Co9S8,S-Scheme heterojunctions,Photocatalytic hydrogen evolution
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