Synergistically enhanced photocatalytic reduction of CO2 on N–Fe codoped BiVO4 under visible light irradiation

Literature Information

Publication Date 2017-07-27
DOI 10.1039/C7CP03995F
Impact Factor 3.676
Authors

L. Zhang, X. Chen, Y. L. Liu, S. G. Xu, S. K. Cao


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Abstract

A N and Fe codoped monoclinic BiVO4 (N–Fe-BVO) photocatalyst was prepared via a conventional sol–gel method and was evaluated for the photocatalytic reduction of CO2 with H2O under visible-light irradiation (>400 nm). As revealed by the structural and photoelectric characterization, the doped N and Fe species can enter the lattice of BiVO4 and induce the codopant levels in the forbidden region of BiVO4, which helps in increasing visible-light absorption, suppressing charge recombination and promoting charge migration. Compared to pure or single-doped BiVO4, the N–Fe-BVO photocatalyst exhibited substantially improved visible-light photocatalytic activity for CO2 reduction, with the highest hydrocarbon generation rate of 27 μmol h−1 gcat−1 and the corresponding quantum efficiency of 1.86% being obtained. The enhanced photocatalytic activity of N–Fe-BVO can be attributed to the synergistic effect of the simultaneous presence of the Fe and N dopants, and the possible photocatalytic mechanism was also proposed based on the characterization results.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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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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