The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Facile Fabrication and Enhanced Photocatalytic Performance of Ag/AgCl/rGO Heterostructure Photocatalyst
Abstract
Graphene/reduced graphene oxide (rGO) modification has been demonstrated to be an efficient route to improve the photocatalytic performance of various photocatalysts by promoting the effective separation of photogenerated electrons and holes. It is highly required to develop facile and environmental-friendly methods for the preparation of graphene-based photocatalytic materials. In this study, the Ag/AgCl/rGO heterostructure photocatalyst was fabricated by a mild oxidization reaction of hydrothermally prepared Ag/rGO in FeCl3 solution. It was found that the reduction of graphene oxide (GO) was accompanied with the in situ formation of metallic Ag in a Ag[(NH3)2](+)-immobilized GO solution during hydrothermal treatment, while the following in situ oxidation of metallic Ag by FeCl3 solution resulted in the formation of strongly coupled Ag/AgCl/rGO heterostructure photocatalyst. The photocatalytic experimental results indicated that all the resultant Ag/AgCl/rGO nanocomposite photocatalysts exhibited a much higher photocatalytic activity than the Ag/AgCl and physically mixed Ag/AgCl/rGO composite, and the Ag/AgCl/rGO (3.2 wt % rGO) showed the highest photocatalytic performance. The enhanced photocatalytic performance of Ag/AgCl/rGO heterostructures can be attributed to the cooperation effect of the effective separation of photogenerated carriers via strongly coupled rGO cocatalyst and the enrichment of organic molecules on the rGO nanosheets. Considering the facile preparation and its high photocatalytic activity, it is possible for the present Ag/AgCl/rGO nanocomposites to be widely applied in various fields such as air purification and wastewater treatment.
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
Graphene-based semiconductor photocatalysts
Xiang, Q., Yu, J., & Jaroniec, M. (2012) · Chem. Soc. Rev. · doi:10.1039/c1cs15172j · Cited by 2,730
Liu, J., Bai, H., Wang, Y., Liu, Z., Zhang, X., & Sun, D. D. (2010) · Advanced Functional Materials · doi:10.1002/adfm.201001391 · Cited by 776
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
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
Graphene and Graphene Oxide-Based Composites for Removal of Organic Pollutants: A Review
Thakur, K., & Kandasubramanian, B. (2019) · Journal of Chemical & Engineering Data · doi:10.1021/acs.jced.8b01057 · Cited by 469
Xu, Y., Mo, Y., Tian, J., Wang, P., Yu, H., & Yu, J. (2016) · Applied Catalysis B: Environmental · doi:10.1016/j.apcatb.2015.08.049 · Cited by 338
Self-citationYao, X., Liu, X., & Hu, X. (2014) · ChemCatChem · doi:10.1002/cctc.201402487 · Cited by 64
Metadata
- Authors
- Luo, G., Jiang, X., Li, M., Shen, Q., Zhang, L., & Yu, H.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-03-05
- Volume
- 5
- Issue
- 6
- Pages
- 2161-2168
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2329248345
- Cited by
- 184
- References
- 2
- FWCI
- 9.62
- 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.