The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Designing Defective Crystalline Carbon Nitride to Enable Selective CO2 Photoreduction in the Gas Phase
Abstract
Polymeric carbon nitrides are promising photocatalysts for CO 2 photoreduction, but still show lower activity and selectivity. Herein, the synthesis of an ordered crystalline carbon nitride is reported which is simultaneously rich in special defects, accomplished via the co‐condensation of guanidine hydrochloride and dicyandiamide under acetonitrile‐promoted solvothermal conditions. The high crystallinity boosts charge migration, and the structural terminations with cyano and carboxyl groups result in the improvement of optical absorption, the ability to store charges at the surface, and CO 2 binding. The crystalline carbon nitride with surface defect design enables the effective gas‐phase CO 2 photoreduction into hydrocarbon fuels while oxidizing water to oxygen, at a rate of 12.07 µmol h−1 g−1 and a selectivity of 91.5%, both values of which are remarkably higher than those of most previous carbon nitride photocatalysts. This study highlights the preparation of defective crystalline carbon nitride using a low‐temperature solvothermal synthesis, as well as a resultant good selectivity toward hydrocarbons in the application of gas‐phase CO 2 photoreduction in the absence of any cocatalyst or sacrificial agent.
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
Handbook of X-Ray Photoelectron Spectroscopy
Moulder, J. F. (1995) · Medical Entomology and Zoology · Cited by 23,662
A metal-free polymeric photocatalyst for hydrogen production from water under visible light
Wang, X., Maeda, K., Thomas, A., Takanabe, K., Xin, G., Carlsson, J. M., Domen, K., & Antonietti, M. (2009) · Nature Materials · doi:10.1038/nmat2317 · Cited by 12,532
Self-citationOng, W.-J., Tan, L.-L., Ng, Y. H., Yong, S.-T., & Chai, S.-P. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00075 · Cited by 7,147
Polymeric Photocatalysts Based on Graphitic Carbon Nitride
Cao, S., Low, J., Yu, J., & Jaroniec, M. (2015) · Advanced Materials · doi:10.1002/adma.201500033 · Cited by 3,674
Self-citationThomas, A., Fischer, A., Goettmann, F., Antonietti, M., Müller, J.-O., Schlögl, R., & Carlsson, J. M. (2008) · Journal of Materials Chemistry · doi:10.1039/b800274f · Cited by 3,419
Self-citationYu, H., Shi, R., Zhao, Y., Bian, T., Zhao, Y., Zhou, C., Waterhouse, G. I. N., Wu, L., Tung, C., & Zhang, T. (2017) · Advanced Materials · doi:10.1002/adma.201605148 · Cited by 2,257
CO2 photo-reduction: insights into CO2 activation and reaction on surfaces of photocatalysts
Chang, X., Wang, T., & Gong, J. (2016) · Energy & Environmental Science · doi:10.1039/c6ee00383d · Cited by 2,018
Light-Driven Heterogeneous Reduction of Carbon Dioxide: Photocatalysts and Photoelectrodes
White, J. L., Baruch, M. F., Pander, J. E., Hu, Y., Fortmeyer, I. C., Park, J. E., Zhang, T., Liao, K., Gu, J., Yan, Y., et al. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00370 · Cited by 1,673
Ran, J., Jaroniec, M., & Qiao, S. (2018) · Advanced Materials · doi:10.1002/adma.201704649 · Cited by 1,531
Synthesis of a Carbon Nitride Structure for Visible‐Light Catalysis by Copolymerization
Zhang, J., Chen, X., Takanabe, K., Maeda, K., Domen, K., Epping, J. D., Fu, X., Antonietti, M., & Wang, X. (2010) · Angewandte Chemie International Edition · doi:10.1002/anie.200903886 · Cited by 1,436
Self-citation
Cited by
Zhang, X., Yang, P., & Jiang, S. P. (2021) · Nanotechnology · doi:10.1088/1361-6528/abdcee · Cited by 36
Metadata
- Authors
- Xia, P., Antonietti, M., Zhu, B., Heil, T., Yu, J., & Cao, S.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2019-02-17
- Volume
- 29
- Issue
- 15
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2915832427
- Cited by
- 367
- References
- 49
- FWCI
- 10.15
- 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: Designing Defective Crystalline Carbon Nitride to Enable Selective CO2 Photoreduction in the Gas Phase. https://app.cochat.ai/papers/10.1002/adfm.201900093
- The paper
- Xia, P., Antonietti, M., Zhu, B., Heil, T., Yu, J., & Cao, S. (2019). Designing Defective Crystalline Carbon Nitride to Enable Selective CO2 Photoreduction in the Gas Phase. Advanced Functional Materials. https://doi.org/10.1002/adfm.201900093
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.
