Development of hybrid photocatalysts constructed with a metal complex and graphitic carbon nitride for visible-light-driven CO2 reduction

Literature Information

Publication Date 2017-01-16
DOI 10.1039/C6CP07973C
Impact Factor 3.676
Authors

Ryo Kuriki, Kazuhiko Maeda


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Abstract

Photocatalytic CO2 reduction with visible light has long been studied as a potential means to address the problems of global warming and the depletion of fossil fuels. Hybrid systems that consist of a metal complex and a particulate semiconductor are expected to be promising because of the excellent electrochemical (and/or photocatalytic) ability of metal complexes for CO2 reduction and the high efficiency of semiconductors for water oxidation. However, a satisfactory system has not been developed to date. Our group has been developing such hybrid materials for visible-light-driven CO2 reduction. This Perspective highlights our recent progress in the development of metal-complex/semiconductor hybrid materials for photocatalytic CO2 reduction with a focus on graphitic carbon nitride as the semiconductor component.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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