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Crystalline Carbon Nitride Supported Copper Single Atoms for Photocatalytic CO2 Reduction with Nearly 100% CO Selectivity

Li, Yang, Li, Baihai, Zhang, Dainan, Cheng, Lei, Xiang, Quanjun·2020·ACS Nano

Abstract

Single metal atom photocatalysts have received widespread attention due to the rational use of metal resources and maximum atom utilization efficiency. In particular, N-rich amorphous g-C 3 N 4 is always used as a support to anchor single metal atoms. However, the enhancement of photocatalytic activity of g-C 3 N 4 by introducing a single atom is limited due to the bulk morphology and the excess defects of amorphous g-C 3 N 4 . Here, we report crystalline g-C 3 N 4 nanorod supported copper single atoms by molten salts and the reflux method. The prepared single Cu atoms/crystalline g-C 3 N 4 photocatalyst (Cu-CCN) shows highly selective and efficient photocatalytic reduction of CO 2 under the absence of any cocatalyst or sacrificial agent. The introduction of single Cu atoms can be used as the CO 2 adsorption site, thus increasing the adsorption capacity of Cu-CCN samples to CO 2 . Theoretical calculation results show that reducing CO 2 to CH 4 on Cu-CCN samples is an entropy-increasing process, whereas reducing CO 2 to CO is an entropy-decreasing process. As a result, the Cu-CCN samples exhibited enhanced photocatalytic CO 2 reduction with nearly 100% selective photocatalytic CO 2 to CO conversion. The mechanism of photocatalytic CO 2 reduction over Cu-CCN samples was proposed based on in situ Fourier transform infrared spectra, X-ray absorption spectroscopy, and density functional theory calculation. This work provides an in-depth understanding of the design of photocatalysts for enhancing active sites of the reactants.

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Metadata

Authors
Li, Y., Li, B., Zhang, D., Cheng, L., & Xiang, Q.
Venue
ACS Nano
Published
2020-07-29
Volume
14
Issue
8
Pages
10552-10561
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W3045822504
Cited by
666
References
46
FWCI
17.88
Type
journal article
Language
en
Open access
closed

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