The DOI matches its Crossref record.
Graphene Nanosheets and Graphite Oxide as Promising Adsorbents for Removal of Organic Contaminants from Aqueous Solution
Abstract
Graphenes are an emerging class of carbon nanomaterials whose adsorption properties toward organic compounds have not been well understood. In the present study, graphene nanosheets were prepared by reoxidation and abrupt heating of graphite oxide, which was prepared by sequential chemical oxidation of commercial nonporous graphite powder. Adsorption properties of three aromatic compounds (naphthalene, 2-naphthol, and 1-naphthylamine) and one pharmaceutical compound (tylosin) on graphene nanosheets and graphite oxide were examined to explore the potential of these two adsorbents for the removal of organic contaminants from aqueous solutions. Compared with the literature data of adsorption on carbon nanotubes, adsorption of bulky, flexible tylosin on graphene nanosheets exhibited markedly faster adsorption kinetics, which can be attributed to their opened-up layer structure. Graphene nanosheets and graphite oxide showed similar sequences of adsorption affinity: 1-naphthylamine > 2-naphthol > tylosin > naphthalene (with much larger differences observed on graphite oxide). It was proposed that the strong adsorption of the three aromatic compounds was mainly due to π-π electron donor-acceptor interactions with the graphitic surfaces of adsorbents. Additionally, Lewis acid-base interaction was likely an important factor contributing to the strong adsorption of 1-naphthylamine and tylosin, especially for the O-functionality-abundant graphite oxide. After being normalized on the basis of adsorbent surface area, adsorption affinities of all four tested adsorbates on graphene nanosheets were very close to those on nonporous graphite powder, reflecting complete accessibility of the adsorbent surface area in adsorption.
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
Cited by
Removal of emerging contaminants from the environment by adsorption
Sophia A., C., & Lima, E. C. (2018) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2017.12.026 · Cited by 913
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
Lian, F., & Xing, B. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b02528 · Cited by 641
Jin, Z., Wang, X., Sun, Y., Ai, Y., & Wang, X. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b02022 · Cited by 477
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
Metadata
- Authors
- Ji, L., Chen, W., Xu, Z., Zheng, S., & Zhu, D.
- Venue
- Journal of Environmental Quality
- Publisher
- Wiley
- Published
- 2013-01
- Volume
- 42
- Issue
- 1
- Pages
- 191-198
- ISSN
- 0047-2425 (ISSN-L)
- OpenAlex
- W1998327237
- Cited by
- 165
- References
- 0
- FWCI
- 10.96
- 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: Graphene Nanosheets and Graphite Oxide as Promising Adsorbents for Removal of Organic Contaminants from Aqueous Solution. https://app.cochat.ai/papers/10.2134/jeq2012.0172
- The paper
- Ji, L., Chen, W., Xu, Z., Zheng, S., & Zhu, D. (2013). Graphene Nanosheets and Graphite Oxide as Promising Adsorbents for Removal of Organic Contaminants from Aqueous Solution. Journal of Environmental Quality. https://doi.org/10.2134/jeq2012.0172
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.
