Suppr超能文献

基于ZnO纳米片/CdS纳米颗粒异质结构实现水分解析氢性能增强。

Enhanced hydrogen evolution from water splitting based on ZnO nanosheet/CdS nanoparticle heterostructures.

作者信息

Wang Yinwei, Ping Hang, Tan Tiening, Wang Wenxuan, Ma Peiyan, Xie Hao

机构信息

State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology Wuhan 430070 China

School of Chemistry, Chemical Engineering and Life Science, Wuhan University of Technology Wuhan 430070 China.

出版信息

RSC Adv. 2019 Sep 6;9(48):28165-28170. doi: 10.1039/c9ra04975d. eCollection 2019 Sep 3.

Abstract

As environmental and energy problems have worsened worldwide, research for developing renewable energy has become urgent. Presently, the primary focus of such research is directed towards the photocatalytic decomposition of water to produce hydrogen as an energy source. Herein, ZnO nanosheet/CdS nanoparticle heterostructures were synthesized by a mild wet chemical reaction and displayed a high photocatalytic efficiency (1040 μmol g h) without Pt loading under visible light radiation. The structure was prepared by first constructing two-dimensional nanocrystalline ZnO flowers and then loading CdS nanoparticles onto the nanocrystals. Results show that this structure can facilitate the separation of photogenerated electrons and holes and improve the photocatalytic efficiency and stability of the materials in the photocatalytic decomposition of water. By changing different experimental conditions to prepare a variety of samples and test their properties, we can analyze the optimal parameters for the preparation of this material.

摘要

随着全球环境和能源问题的恶化,开发可再生能源的研究变得紧迫。目前,此类研究的主要重点是光催化分解水以产生氢气作为能源。在此,通过温和的湿化学反应合成了ZnO纳米片/CdS纳米颗粒异质结构,并且在可见光辐射下无铂负载时显示出高光催化效率(1040 μmol g⁻¹ h⁻¹)。该结构的制备是先构建二维纳米晶ZnO花,然后将CdS纳米颗粒负载到纳米晶体上。结果表明,这种结构可以促进光生电子和空穴的分离,并提高材料在光催化分解水中的光催化效率和稳定性。通过改变不同实验条件制备各种样品并测试其性能,我们可以分析制备这种材料的最佳参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dae9/9071141/f2f17f311671/c9ra04975d-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验