The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Constructing Multifunctional Metallic Ni Interface Layers in the g-C3N4 Nanosheets/Amorphous NiS Heterojunctions for Efficient Photocatalytic H2 Generation
Abstract
The construction of exceptionally robust and high-quality semiconductor–cocatalyst heterojunctions remains a grand challenge toward highly efficient and durable solar-to-fuel conversion. Herein, novel graphitic carbon nitride (g-C 3 N 4 ) nanosheets decorated with multifunctional metallic Ni interface layers and amorphous NiS cocatalysts were fabricated via a facile three-step process: the loading of Ni(OH) 2 nanosheets, high-temperature H 2 reduction, and further deposition of amorphous NiS nanosheets. The results demonstrated that both robust metallic Ni interface layers and amorphous NiS can be utilized as electron cocatalysts to markedly boost the visible-light H 2 evolution over g-C 3 N 4 semiconductor. The optimized g-C 3 N 4 -based photocatalyst containing 0.5 wt % Ni and 1.0 wt % NiS presented the highest hydrogen evolution of 515 μmol g –1 h –1, which was about 2.8 and 4.6 times as much as those obtained on binary g-C 3 N 4 -1.0%NiS and g-C 3 N 4 -0.5%Ni, respectively. Apparently, the metallic Ni interface layers play multifunctional roles in enhancing the visible-light H 2 evolution, which could first collect the photogenerated electrons from g-C 3 N 4, and then accelerate the surface H 2 -evolution reaction kinetics over amorphous NiS cocatalysts. More interestingly, the synergetic effects of metallic Ni and amorphous NiS dual-layer electron cocatalysts could also improve the TEOA-oxidation capacity through upshifting the VB levels of g-C 3 N 4 . Comparatively speaking, the multifunctional metallic Ni layers are dominantly favorable for separating and transferring photoexcited charge carriers from g-C 3 N 4 to amorphous NiS cocatalysts owing to the formation of Schottky junctions, whereas the amorphous NiS nanosheets are mainly advantageous for decreasing the thermodynamic overpotentials for surface H 2 -evolution reactions. It is hoped that the implantation of multifunctional metallic interface layers can provide a versatile approach to enhance the photocatalytic H 2 generation over different semiconductor–cocatalyst heterojunctions.
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
Electrochemical Photolysis of Water at a Semiconductor Electrode
FUJISHIMA, A., & HONDA, K. (1972) · Nature · doi:10.1038/238037a0 · Cited by 34,169
Semiconductor-based Photocatalytic Hydrogen Generation
Chen, X., Shen, S., Guo, L., & Mao, S. S. (2010) · Chemical Reviews · doi:10.1021/cr1001645 · Cited by 7,876
Self-citationRoles of Cocatalysts in Photocatalysis and Photoelectrocatalysis
Yang, J., Wang, D., Han, H., & Li, C. (2013) · Accounts of Chemical Research · doi:10.1021/ar300227e · Cited by 2,848
Hydrogen evolution by a metal-free electrocatalyst
Zheng, Y., Jiao, Y., Zhu, Y., Li, L. H., Han, Y., Chen, Y., Du, A., Jaroniec, M., & Qiao, S. Z. (2014) · Nature Communications · doi:10.1038/ncomms4783 · Cited by 2,236
Cited by
Cocatalysts for Selective Photoreduction of CO2into Solar Fuels
Li, X., Yu, J., Jaroniec, M., & Chen, X. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00400 · Cited by 2,304
Self-citationRen, Y., Zeng, D., & Ong, W.-J. (2019) · Chinese Journal of Catalysis · doi:10.1016/s1872-2067(19)63293-6 · Cited by 528
Graphene-based heterojunction photocatalysts
Li, X., Shen, R., Ma, S., Chen, X., & Xie, J. (2018) · Applied Surface Science · doi:10.1016/j.apsusc.2017.08.194 · Cited by 494
Self-citationSudhaik, A., Raizada, P., Shandilya, P., Jeong, D.-Y., Lim, J.-H., & Singh, P. (2018) · Journal of Industrial and Engineering Chemistry · doi:10.1016/j.jiec.2018.07.007 · Cited by 408
Recent development in graphitic carbon nitride based photocatalysis for hydrogen generation
Nasir, M. S., Yang, G., Ayub, I., Wang, S., Wang, L., Wang, X., Yan, W., Peng, S., & Ramakarishna, S. (2019) · Applied Catalysis B: Environmental · doi:10.1016/j.apcatb.2019.117855 · Cited by 351
Huang, D., Yan, X., Yan, M., Zeng, G., Zhou, C., Wan, J., Cheng, M., & Xue, W. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.8b03620 · Cited by 346
Teixeira, I. F., Barbosa, E. C. M., Tsang, S. C. E., & Camargo, P. H. C. (2018) · Chemical Society Reviews · doi:10.1039/c8cs00479j · Cited by 316
Shen, R., Zhang, L., Chen, X., Jaroniec, M., Li, N., & Li, X. (2020) · Applied Catalysis B: Environmental · doi:10.1016/j.apcatb.2020.118619 · Cited by 265
Self-citationLiu, Z., Yang, X., Hu, G., & Feng, L. (2020) · ACS Sustainable Chemistry & Engineering · doi:10.1021/acssuschemeng.0c02636 · Cited by 141
Sustainable synthesis of supported metal nanocatalysts for electrochemical hydrogen evolution
Chen, Q., Nie, Y., Ming, M., Fan, G., Zhang, Y., & Hu, J.-S. (2020) · Chinese Journal of Catalysis · doi:10.1016/s1872-2067(20)63652-x · Cited by 88
Metadata
- Authors
- Wen, J., Xie, J., Zhang, H., Zhang, A., Liu, Y., Chen, X., & Li, X.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-04-12
- Volume
- 9
- Issue
- 16
- Pages
- 14031-14042
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2605287189
- Cited by
- 372
- References
- 4
- FWCI
- 14.66
- 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
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.