The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Catalyst‐Free Efficient Growth, Orientation and Biosensing Properties of Multilayer Graphene Nanoflake Films with Sharp Edge Planes
Abstract
We report a novel microwave plasma enhanced chemical vapor deposition strategy for the efficient synthesis of multilayer graphene nanoflake films (MGNFs) on Si substrates. The constituent graphene nanoflakes have a highly graphitized knife‐edge structure with a 2–3 nm thick sharp edge and show a preferred vertical orientation with respect to the Si substrate as established by near‐edge X‐ray absorption fine structure spectroscopy. The growth rate is approximately 1.6 µm min−1, which is 10 times faster than the previously reported best value. The MGNFs are shown to demonstrate fast electron‐transfer (ET) kinetics for the Fe(CN)63−/4− redox system and excellent electrocatalytic activity for simultaneously determining dopamine (DA), ascorbic acid (AA) and uric acid (UA). Their biosensing DA performance in the presence of common interfering agents AA and UA is superior to other bare solid‐state electrodes and is comparable only to that of edge plane pyrolytic graphite. Our work here, establishes that the abundance of graphitic edge planes/defects are essentially responsible for the fast ET kinetics, active electrocatalytic and biosensing properties. This novel edge‐plane‐based electrochemical platform with the high surface area and electrocatalytic activity offers great promise for creating a revolutionary new class of nanostructured electrodes for biosensing, biofuel cells and energy‐conversion 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
Geim, A. K., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1849 · Cited by 39,979
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
Nitrogen-doped graphene and its electrochemical applications
Shao, Y., Zhang, S., Engelhard, M. H., Li, G., Shao, G., Wang, Y., Liu, J., Aksay, I. A., & Lin, Y. (2010) · Journal of Materials Chemistry · doi:10.1039/c0jm00782j · Cited by 1,123
Graphene-based nanomaterials and their electrochemistry
Pumera, M. (2010) · Chemical Society Reviews · doi:10.1039/c002690p · Cited by 1,117
Graphene as Transparent Electrode Material for Organic Electronics
Pang, S., Hernandez, Y., Feng, X., & Müllen, K. (2011) · Advanced Materials · doi:10.1002/adma.201100304 · Cited by 788
Electrically-Transduced Chemical Sensors Based on Two-Dimensional Nanomaterials
Meng, Z., Stolz, R. M., Mendecki, L., & Mirica, K. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00311 · Cited by 773
Metadata
- Authors
- Shang, N. G., Papakonstantinou, P., McMullan, M., Chu, M., Stamboulis, A., Potenza, A., Dhesi, S. S., & Marchetto, H.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2008-11-03
- Volume
- 18
- Issue
- 21
- Pages
- 3506-3514
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W1966300235
- Cited by
- 812
- References
- 1
- FWCI
- 36.46
- 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: Catalyst‐Free Efficient Growth, Orientation and Biosensing Properties of Multilayer Graphene Nanoflake Films with Sharp Edge Planes. https://app.cochat.ai/papers/10.1002/adfm.200800951
- The paper
- Shang, N. G., Papakonstantinou, P., McMullan, M., Chu, M., Stamboulis, A., Potenza, A., Dhesi, S. S., & Marchetto, H. (2008). Catalyst‐Free Efficient Growth, Orientation and Biosensing Properties of Multilayer Graphene Nanoflake Films with Sharp Edge Planes. Advanced Functional Materials. https://doi.org/10.1002/adfm.200800951
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.