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Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Chem. | doi: 10.3389/fchem.2019.00789

A Highly Efficient Composite Catalyst Constructed from NH2-MIL-125(Ti) and Reduced Graphene Oxide for CO2 Photoreduction

 Yunxia Zhao1,  Wei Cai1,  Jiaxin Chen1, Yuanyuan Miao1 and  Yunfei Bu1*
  • 1Nanjing University of Information Science and Technology, China

Substantial consumption of fossil fuels causes an increase in CO2 emissions and intensifies global pollution problems, such as the greenhouse effect. Recently, a new type of ultra-low-density porous material, metal-organic frameworks (MOFs), has been developed for the photocatalytic conversion of CO2. Herein, a composite photocatalytic catalyst based on NH2-MIL-125(Ti) and reduced graphene oxide (rGO@NH2-MIL-125) was fabricated through a facile "one-pot" process. The acquired materials were characterized to obtain their structures, morphologies and optical information. The experimental results showed that methyl formate (MF) was the predominant reaction product, and rGO@NH2-MIL-125 exhibited the highest yield of 1116 μmol·g-1·h-1, more than twice that of pure MIL-125. The high photoactivity of rGO@NH2-MIL-125 can be ascribed to the effective spatial separation and transfer of photoinduced carriers, largely due to the synergistic effect of amino functionality and rGO incorporation. rGO@NH2-MIL-125 also displayed acceptable repeatability in cyclic runs for CO2 reduction.

Keywords: CO2 reduction, photocatalysis, Metal-organic frameworks (MOFs), Reduced graphene oxide, Methyl formate

Received: 06 Aug 2019; Accepted: 01 Nov 2019.

Copyright: © 2019 Zhao, Cai, Chen, Miao and Bu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Prof. Yunfei Bu, Nanjing University of Information Science and Technology, Nanjing, 210044, Jiangsu Province, China, yunfei.bu@nuist.edu.cn