Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 346

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Enhanced antibacterial activity through the controlled alignment of graphene oxide nanosheets

Open access
Lu, Xinglin, Feng, Xunda, Werber, Jay R., Chu, Chiheng, Zucker, Ines, Kim, Jae-Hong, Osuji, Chinedum O., Elimelech, Menachem·2017·Proceedings of the National Academy of Sciences

Abstract

Significance: In biomedical and environmental applications, as well as manufacture and disposal, the interaction of graphene-based nanomaterials (GBNs) with living cells is inevitable and sometimes crucial. While the cytotoxic properties of GBNs are well established, the mechanisms behind the cytotoxicity remain controversial. In this study, we first utilize a magnetic field to form films with aligned graphene oxide (GO), showing that the alignment of sharp GO edges plays a crucial role in the antibacterial activity. We then demonstrate using model systems that GO unequivocally induces physical disruption of lipid bilayers and that oxidation stems from a direct electron transfer mechanism. Altogether, our results elucidate the physicochemical, edge-based cytotoxicity of GBNs, while providing guidance for the design of engineered surfaces using GBNs.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.1710996114

Cites

45 of 45 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 45 references

Cited by

See all 346

Metadata

Authors
Lu, X., Feng, X., Werber, J. R., Chu, C., Zucker, I., Kim, J.-H., Osuji, C. O., & Elimelech, M.
Venue
Proceedings of the National Academy of Sciences
Published
2017-10-26
Volume
114
Issue
46
Pages
E9793-E9801
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2766803663
Cited by
346
References
45
FWCI
15.71
Type
journal article
Language
en
Open access
green

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: Enhanced antibacterial activity through the controlled alignment of graphene oxide nanosheets. https://app.cochat.ai/papers/10.1073/pnas.1710996114
The paper
Lu, X., Feng, X., Werber, J. R., Chu, C., Zucker, I., Kim, J.-H., Osuji, C. O., & Elimelech, M. (2017). Enhanced antibacterial activity through the controlled alignment of graphene oxide nanosheets. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1710996114

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.