The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Highly exposed {001} facets of titanium dioxide modified with reduced graphene oxide for dopamine sensing
Open accessAbstract
Titanium dioxide (TiO2) with highly exposed {001} facets was synthesized through a facile solvo-thermal method and its surface was decorated by using reduced graphene oxide (rGO) sheets. The morphology and chemical composition of the prepared rGO/TiO2 {001} nanocomposite were examined by using suitable characterization techniques. The rGO/TiO2 {001} nanocomposite was used to modify glassy carbon electrode (GCE), which showed higher electrocatalytic activity towards the oxidation of dopamine (DA) and ascorbic acid (AA), when compared to unmodified GCE. The differential pulse voltammetric studies revealed good sensitivity and selectivity nature of the rGO/TiO2 {001} nanocomposite modified GCE for the detection of DA in the presence of AA. The modified GCE exhibited a low electrochemical detection limit of 6 μM over the linear range of 2-60 μM. Overall, this work provides a simple platform for the development of GCE modified with rGO/TiO2 {001} nanocomposite with highly exposed {001} facets for potential electrochemical sensing 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
The chemistry of graphene oxide
Dreyer, D. R., Park, S., Bielawski, C. W., & Ruoff, R. S. (2010) · Chem. Soc. Rev. · doi:10.1039/b917103g · Cited by 11,653
Cited by
Yuan, Y.-J., Ye, Z.-J., Lu, H.-W., Hu, B., Li, Y.-H., Chen, D.-Q., Zhong, J.-S., Yu, Z.-T., & Zou, Z.-G. (2016) · ACS Catalysis · doi:10.1021/acscatal.5b02036 · Cited by 429
Graphene and its nanocomposite material based electrochemical sensor platform for dopamine
Pandikumar, A., Soon How, G. T., See, T. P., Omar, F. S., Jayabal, S., Kamali, K. Z., Yusoff, N., Jamil, A., Ramaraj, R., John, S. A., et al. (2014) · RSC Adv. · doi:10.1039/c4ra13777a · Cited by 320
Self-citationIbrahim, Y. O., Hezam, A., Qahtan, T. F., Al-Aswad, A. H., Gondal, M. A., & Drmosh, Q. A. (2020) · Applied Surface Science · doi:10.1016/j.apsusc.2020.147578 · Cited by 81
Thomas, J., P.K, A., Thomas, T., & Thomas, N. (2021) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2020.129362 · Cited by 30
Metadata
- Authors
- How, G. T. S., Pandikumar, A., Ming, H. N., & Ngee, L. H.
- Venue
- Scientific Reports
- Published
- 2014-05-23
- Volume
- 4
- Issue
- 1
- Pages
- 5044-5044
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W1988508263
- Cited by
- 330
- References
- 1
- FWCI
- 15.03
- Type
- journal article
- Language
- en
- Open access
- gold
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
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.