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Cited by 667

The DOI matches its Crossref record; 169 of the 169 references it cites were found in a registry or an index.

Z‐Scheme Photocatalytic Systems for Carbon Dioxide Reduction: Where Are We Now?

Zhang, Wenhao, Mohamed, Abdul Rahman, Ong, Wee‐Jun·2020·Angewandte Chemie International Edition

Abstract

Transforming CO 2 into fuels by utilizing sunlight is promising to synchronously overcome global warming and energy‐supply issues. It is crucial to design efficient photocatalysts with intriguing features such as robust light‐harvesting ability, strong redox potential, high charge‐separation, and excellent durability. Hitherto, a single‐component photocatalyst is incapable to simultaneously meet all these criteria. Inspired by natural photosynthesis, constructing artificial Z‐scheme photocatalysts provides a facile way to conquer these bottlenecks. In this review, we firstly introduce the fundamentals of photocatalytic CO 2 reduction and Z‐scheme systems. Thereafter we discuss state‐of‐the‐art Z‐scheme photocatalytic CO 2 reduction, whereby special attention is placed on the predominant factors that affect photoactivity. Additionally, further modifications that are important for efficient photocatalysis are reviewed.

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Metadata

Authors
Zhang, W., Mohamed, A. R., & Ong, W.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2020-10-27
Volume
59
Issue
51
Pages
22894-22915
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W3003658525
Cited by
667
References
169
FWCI
20.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Z‐Scheme Photocatalytic Systems for Carbon Dioxide Reduction: Where Are We Now? https://app.cochat.ai/papers/10.1002/anie.201914925
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Zhang, W., Mohamed, A. R., & Ong, W. (2020). Z‐Scheme Photocatalytic Systems for Carbon Dioxide Reduction: Where Are We Now? Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201914925

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.