The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Electrochemistry of Individual Monolayer Graphene Sheets
Abstract
We report on the fabrication and measurement of devices designed to study the electrochemical behavior of individual monolayer graphene sheets as electrodes. We have examined both mechanically exfoliated and chemical vapor deposited (CVD) graphene. The effective device areas, determined from cyclic voltammetric measurements, show good agreement with the geometric area of the graphene sheets, indicating that the redox reactions occur on clean graphene surfaces. The electron transfer rates of ferrocenemethanol at both types of graphene electrodes were found to be more than 10-fold faster than at the basal plane of bulk graphite, which we ascribe to corrugations in the graphene sheets. We further describe an electrochemical investigation of adsorptive phenomena on graphene surfaces. Our results show that electrochemistry can provide a powerful means of investigating the interactions between molecules and the surfaces of graphene sheets as electrodes.
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: Status and Prospects
Geim, A. K. (2009) · Science · doi:10.1126/science.1158877 · Cited by 13,942
Cited by
Electrochemistry of Graphene and Related Materials
Ambrosi, A., Chua, C. K., Bonanni, A., & Pumera, M. (2014) · Chemical Reviews · doi:10.1021/cr500023c · Cited by 1,208
The edge- and basal-plane-specific electrochemistry of a single-layer graphene sheet
Yuan, W., Zhou, Y., Li, Y., Li, C., Peng, H., Zhang, J., Liu, Z., Dai, L., & Shi, G. (2013) · Scientific Reports · doi:10.1038/srep02248 · Cited by 527
Metadata
- Authors
- Li, W., Tan, C., Lowe, M. A., Abruña, H. D., & Ralph, D. C.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-02-18
- Volume
- 5
- Issue
- 3
- Pages
- 2264-2270
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2095114847
- Cited by
- 271
- References
- 1
- FWCI
- 12.55
- 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: Electrochemistry of Individual Monolayer Graphene Sheets. https://app.cochat.ai/papers/10.1021/nn103537q
- The paper
- Li, W., Tan, C., Lowe, M. A., Abruña, H. D., & Ralph, D. C. (2011). Electrochemistry of Individual Monolayer Graphene Sheets. ACS Nano. https://doi.org/10.1021/nn103537q
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.
