The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Formation of hierarchical Bi2MoO6/ln2S3 S-scheme heterojunction with rich oxygen vacancies for boosting photocatalytic CO2 reduction
Abstract
Abstract Employing photocatalytic technology to promote CO2 photoreduction into carbon fuels is of great significance to the field of renewable energy. Herein, the hierarchical Bi2MoO6@In2S3 heterostructured nanotubes rich in surface oxygen vacancies (SOVs) are synthesized by a multi-step control strategy for visible-light-driven CO2 reduction. The combination of density functional theory (DFT) calculations and in-situ X-ray photoelectron spectroscopy (ISI-XPS) confirms the existence of the S-scheme charge transfer mechanism and SOVs, which will accelerate the separation of charges and ameliorate the redox capability. Additionally, the unique hierarchical hollow architectures also effectively promote the efficiency of light utilization and provide abundant reactive sites. Consequently, the optimized Bi2MoO6-SOVs@In2S3 heterogeneous nanotubes display remarkable activity under visible light irradiation, with the yield rate and selectivity for CO-generation are 28.54 μmol g-1 h-1 and 94.1%, respectively. This work provides new opportunities for the design of hierarchical hollow heterojunctions with an S-scheme charge transfer mechanism for effective photocatalytic CO2 reduction.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Ultrathin 2D/2D WO3/g-C3N4 step-scheme H2-production photocatalyst
Fu, J., Xu, Q., Low, J., Jiang, C., & Yu, J. (2019) · Applied Catalysis B: Environmental · doi:10.1016/j.apcatb.2018.11.011 · Cited by 2,767
Ran, J., Jaroniec, M., & Qiao, S. (2018) · Advanced Materials · doi:10.1002/adma.201704649 · Cited by 1,531
Unique S-scheme heterojunctions in self-assembled TiO2/CsPbBr3 hybrids for CO2 photoreduction
Xu, F., Meng, K., Cheng, B., Wang, S., Xu, J., & Yu, J. (2020) · Nature Communications · doi:10.1038/s41467-020-18350-7 · Cited by 1,456
Chandrasekaran, S., Yao, L., Deng, L., Bowen, C., Zhang, Y., Chen, S., Lin, Z., Peng, F., & Zhang, P. (2019) · Chemical Society Reviews · doi:10.1039/c8cs00664d · Cited by 1,199
Yu, W., Xu, D., & Peng, T. (2015) · Journal of Materials Chemistry A · doi:10.1039/c5ta05503b · Cited by 937
Wang, S., Guan, B. Y., Wang, X., & Lou, X. W. D. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.8b07721 · Cited by 852
Wang, S., Guan, B. Y., Lu, Y., & Lou, X. W. “. (2017) · Journal of the American Chemical Society · doi:10.1021/jacs.7b10733 · Cited by 730
Wang, G., He, C.-T., Huang, R., Mao, J., Wang, D., & Li, Y. (2020) · Journal of the American Chemical Society · doi:10.1021/jacs.0c09599 · Cited by 712
Li, X., Xiong, J., Gao, X., Ma, J., Chen, Z., Kang, B., Liu, J., Li, H., Feng, Z., & Huang, J. (2020) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2019.121690 · Cited by 547
Cadmium sulfide-based nanomaterials for photocatalytic hydrogen production
Yuan, Y.-J., Chen, D., Yu, Z.-T., & Zou, Z.-G. (2018) · Journal of Materials Chemistry A · doi:10.1039/c8ta00671g · Cited by 523
Cited by
Role of oxygen vacancy in metal oxides for photocatalytic CO2 reduction
Jiang, W., Loh, H., Low, B. Q. L., Zhu, H., Low, J., Heng, J. Z. X., Tang, K. Y., Li, Z., Loh, X. J., Ye, E., et al. (2023) · Applied Catalysis B: Environmental · doi:10.1016/j.apcatb.2022.122079 · Cited by 401
Metadata
- Authors
- Yu, B., Wu, Y., Meng, F., Wang, Q., Jia, X., Wasim Khan, M., Huang, C., Zhang, S., Yang, L., & Wu, H.
- Venue
- Chemical Engineering Journal
- Publisher
- Elsevier BV
- Published
- 2022-02
- Volume
- 429
- Pages
- 132456
- ISSN
- 1385-8947 (ISSN-L)
- OpenAlex
- W3199842505
- Cited by
- 308
- References
- 35
- FWCI
- 10.54
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Formation of hierarchical Bi2MoO6/ln2S3 S-scheme heterojunction with rich oxygen vacancies for boosting photocatalytic CO2 reduction. https://app.cochat.ai/papers/10.1016/j.cej.2021.132456
- The paper
- Yu, B., Wu, Y., Meng, F., Wang, Q., Jia, X., Wasim Khan, M., Huang, C., Zhang, S., Yang, L., & Wu, H. (2022). Formation of hierarchical Bi2MoO6/ln2S3 S-scheme heterojunction with rich oxygen vacancies for boosting photocatalytic CO2 reduction. Chemical Engineering Journal. https://doi.org/10.1016/j.cej.2021.132456
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
