Suppr超能文献

用于高效可见光驱动 Cr(VI)还原和 H2 演化的稳定层状半导体 Cu(I)-有机骨架。

Stable Layered Semiconductive Cu(I)-Organic Framework for Efficient Visible-Light-Driven Cr(VI) Reduction and H Evolution.

机构信息

College of Material and Chemical Engineering , Zhengzhou University of Light Industry , Zhengzhou 450002 , P. R. China.

出版信息

Inorg Chem. 2018 Jul 2;57(13):7975-7981. doi: 10.1021/acs.inorgchem.8b01137. Epub 2018 Jun 18.

Abstract

Metal-organic frameworks (MOFs) have gained tremendous attention in the fields of environmental restoration and sustainable energy for their potential use as photocatalyst. Herein, a new two-dimensional (2D) Cu(I)-based MOF material showing a narrow forbidden-band of 2.13 eV was successfully constructed using a visible-light-harvesting anthracene-based bipyridine ligand. The as-prepared MOF demonstrates high chemical stability and could be stable in the pH range 2-13, which is favorable for its potential application in photocatalysis. Photocatalytic experiments demonstrate that this Cu(I)-MOF exhibits high reactivity for reduction of Cr(VI) in water, with 95% Cr(VI) converting to Cr(III) in 10 min by using MeOH as scavenger under visible-light illumination. Furthermore, this MOF could behave as a highly active photocatalyst for H evolution without additional photosensitizers and cocatalyst. Remarkably, the as-prepared MOF shows enhanced photocatalytic Cr(VI) reduction and H evolution performances compared with the pristine light-harvesting ligand under the same conditions. In connection to these, the photocatalytic reaction mechanism has also been probed.

摘要

金属-有机骨架(MOFs)因其在环境修复和可持续能源领域作为光催化剂的潜在应用而受到极大关注。在此,使用一种基于蒽的可见光收集联吡啶配体成功构建了一种新型二维(2D)Cu(I)基 MOF 材料,其禁带宽度为 2.13 eV。所制备的 MOF 表现出高化学稳定性,并且可以在 pH 值为 2-13 的范围内稳定,这有利于其在光催化中的潜在应用。光催化实验表明,这种 Cu(I)-MOF 在可见光照射下,以甲醇作为清除剂时,对水中 Cr(VI)的还原具有高反应活性,在 10 分钟内将 95%的 Cr(VI)转化为 Cr(III)。此外,该 MOF 无需额外的光敏剂和助催化剂即可作为高效光催化剂用于 H2 的析出。值得注意的是,与相同条件下的原始光收集配体相比,所制备的 MOF 在光催化 Cr(VI)还原和 H2 析出性能方面表现出增强的性能。此外,还探究了光催化反应机理。

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