The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
An environment-friendly preparation of reduced graphene oxide nanosheets via amino acid
Open accessAbstract
Chemically modified graphene has been studied in many applications due to its excellent electrical, mechanical, and thermal properties. Among the chemically modified graphenes, reduced graphene oxide is the most important for its structure and properties, which are similar to pristine graphene. Here, we introduce an environment-friendly approach for preparation of reduced graphene oxide nanosheets through the reduction of graphene oxide that employs L-cysteine as the reductant under mild reaction conditions. The conductivity of the reduced graphene oxide nanosheets produced in this way increases by about 10(6) times in comparison to that of graphene oxide. This is the first report about using amino acids as a reductant for the preparation of reduced graphene oxide nanosheets, and this procedure offers an alternative route to large-scale production of reduced graphene oxide nanosheets for applications that require such material.
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 composite materials
Stankovich, S., Dikin, D. A., Dommett, G. H. B., Kohlhaas, K. M., Zimney, E. J., Stach, E. A., Piner, R. D., Nguyen, S. T., & Ruoff, R. S. (2006) · Nature · doi:10.1038/nature04969 · Cited by 12,922
The chemistry of graphene oxide
Dreyer, D. R., Park, S., Bielawski, C. W., & Ruoff, R. S. (2010) · Chem. Soc. Rev. · doi:10.1039/b917103g · Cited by 11,653
Reduction of graphene oxide via l -ascorbic acid
Zhang, J., Yang, H., Shen, G., Cheng, P., Zhang, J., & Guo, S. (2010) · Chem. Commun. · doi:10.1039/b917705a · Cited by 2,344
Cited by
Zhou, D., Jiang, B., Yang, R., Hou, X., & Zheng, C. (2020) · Chinese Chemical Letters · doi:10.1016/j.cclet.2019.11.014 · Cited by 35
Metadata
- Authors
- Chen, D., Li, L., & Guo, L.
- Venue
- Nanotechnology
- Publisher
- IOP Publishing
- Published
- 2011-07-14
- Volume
- 22
- Issue
- 32
- Pages
- 325601
- ISSN
- 0957-4484 (ISSN-L)
- 1361-6528
- OpenAlex
- W2054303101
- Cited by
- 352
- References
- 3
- FWCI
- 10.69
- Type
- journal article
- Language
- en
- Open access
- bronze
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: An environment-friendly preparation of reduced graphene oxide nanosheets via amino acid. https://app.cochat.ai/papers/10.1088/0957-4484/22/32/325601
- The paper
- Chen, D., Li, L., & Guo, L. (2011). An environment-friendly preparation of reduced graphene oxide nanosheets via amino acid. Nanotechnology. https://doi.org/10.1088/0957-4484/22/32/325601
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.