The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A facile one-pot route for the controllable growth of small sized and well-dispersed ZnO particles on GO-derived graphene
Abstract
In this study, we reported the growth of well dispersed ZnO nanoparticles with small size of about 10 nm on GO-derived graphene via a facile solvothermal method, in which the Zn–EG–Ac complex, graphitic oxide (GO) and ethanol were selected as the Zn precursor, graphene precursor and solvent respectively. The Zn–EG–Ac with plenty of functional groups can interact with the functional groups (COOH, OH) on GO, and thus transform in situ on GO into well-dispersed ZnO without the need of additional alkali. Besides, as solvent, the ethanol also plays the role of a reducing agent that could reduce GO to GO-derived graphene under solvothermal conditions, excluding the use of additional reducing agents. The results indicated that the Zn–EG–Ac precursor was crucial for the formation of the small-sized and well-dispersed ZnO on graphene. Replacing the Zn–EG–Ac complex with Zn(Ac)2, free ZnO with large size (up to μm) could be observed. In addition, other parameters, such as the amount of the reagent and the kind of solvent, also played an important role in determining the micro-structure of the final composites. It needs to be mentioned that we have found the existence of a strong interaction between ZnO and the graphene substrate based on the results of XPS measurements. The interaction was important for improving the performance of the composite; typically, the photocatalytic performance as shown by the photocatalytic degradation of organic pollutants. Overall, our work provides a new avenue for fabricating a ZnO/graphene composite in terms of its simplicity, small size and the good dispersion of ZnO on the graphene, as well as its good performance for photocatalysis applications.
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
Cited by
Nanocatalysts and other nanomaterials for water remediation from organic pollutants
Lu, F., & Astruc, D. (2020) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2020.213180 · Cited by 682
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
Tu, W., Zhou, Y., & Zou, Z. (2013) · Advanced Functional Materials · doi:10.1002/adfm.201203547 · Cited by 377
Yao, Y., Yang, Z., Sun, H., & Wang, S. (2012) · Industrial & Engineering Chemistry Research · doi:10.1021/ie301642g · Cited by 255
Metadata
- Authors
- Zhang, Q., Tian, C., Wu, A., Tan, T., Sun, L., Wang, L., & Fu, H.
- Venue
- Journal of Materials Chemistry
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2012
- Volume
- 22
- Issue
- 23
- Pages
- 11778
- ISSN
- 0959-9428 (ISSN-L)
- 1364-5501
- OpenAlex
- W2169025208
- Cited by
- 172
- References
- 1
- FWCI
- 8.62
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A facile one-pot route for the controllable growth of small sized and well-dispersed ZnO particles on GO-derived graphene. https://app.cochat.ai/papers/10.1039/c2jm31401k
- The paper
- Zhang, Q., Tian, C., Wu, A., Tan, T., Sun, L., Wang, L., & Fu, H. (2012). A facile one-pot route for the controllable growth of small sized and well-dispersed ZnO particles on GO-derived graphene. Journal of Materials Chemistry. https://doi.org/10.1039/c2jm31401k
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.