The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Assessment of the toxic potential of graphene family nanomaterials
Open accessAbstract
Graphene, a single-atom-thick carbon nanosheet, has attracted great interest as a promising nanomaterial for a variety of bioapplications because of its extraordinary properties. However, the potential for widespread human exposure raises safety concerns about graphene and its derivatives, referred to as graphene-family nanomaterials. This review summarizes recent findings on the toxicological effects and the potential toxicity mechanisms of graphene-family nanomaterials in bacteria, mammalian cells, and animal models. Graphene, graphene oxide, and reduced graphene oxide elicit toxic effects both in vitro and in vivo, whereas surface modifications can significantly reduce their toxic interactions with living systems. Standardization of terminology and the fabrication methods of graphene-family nanomaterials are warranted for further investigations designed to decrease their adverse effects and explore their biomedical 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 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
Cited by
Toxicity of graphene-family nanoparticles: a general review of the origins and mechanisms
Ou, L., Song, B., Liang, H., Liu, J., Feng, X., Deng, B., Sun, T., & Shao, L. (2016) · Particle and Fibre Toxicology · doi:10.1186/s12989-016-0168-y · Cited by 803
Zou, Y., Wang, X., Ai, Y., Liu, Y., Li, J., Ji, Y., & Wang, X. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.6b00255 · Cited by 319
Recent Advances in Materials, Devices, and Systems for Neural Interfaces
Won, S. M., Song, E., Zhao, J., Li, J., Rivnay, J., & Rogers, J. A. (2018) · Advanced Materials · doi:10.1002/adma.201800534 · Cited by 206
Manickam, S., Muthoosamy, K., Geetha Bai, R., Babangida Abubakar, I., Mudavasseril Sudheer, S., Hongngee, L., Hwei-San, L., Nayming, H., & Ch, C. (2015) · International Journal of Nanomedicine · doi:10.2147/ijn.s75213 · Cited by 204
Gholami, A., Emadi, F., Amini, A., Shokripour, M., Chashmpoosh, M., & Omidifar, N. (2020) · Journal of Nanomaterials · doi:10.1155/2020/6942707 · Cited by 30
Metadata
- Authors
- Guo, X., & Mei, N.
- Venue
- Journal of Food and Drug Analysis
- Published
- 2014-03
- Volume
- 22
- Issue
- 1
- Pages
- 105-115
- ISSN
- 1021-9498 (ISSN-L)
- OpenAlex
- W2151637317
- Cited by
- 421
- References
- 1
- FWCI
- 18.37
- 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: Assessment of the toxic potential of graphene family nanomaterials. https://app.cochat.ai/papers/10.1016/j.jfda.2014.01.009
- The paper
- Guo, X., & Mei, N. (2014). Assessment of the toxic potential of graphene family nanomaterials. Journal of Food and Drug Analysis. https://doi.org/10.1016/j.jfda.2014.01.009
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.