The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.
Graphene-Based Materials for Biosensors: A Review
Open accessAbstract
The advantages conferred by the physical, optical and electrochemical properties of graphene-based nanomaterials have contributed to the current variety of ultrasensitive and selective biosensor devices. In this review, we present the points of view on the intrinsic properties of graphene and its surface engineering concerned with the transduction mechanisms in biosensing applications. We explain practical synthesis techniques along with prospective properties of the graphene-based materials, which include the pristine graphene and functionalized graphene (i.e., graphene oxide (GO), reduced graphene oxide (RGO) and graphene quantum dot (GQD). The biosensing mechanisms based on the utilization of the charge interactions with biomolecules and/or nanoparticle interactions and sensing platforms are also discussed, and the importance of surface functionalization in recent up-to-date biosensors for biological and medical 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
Electric Field Effect in Atomically Thin Carbon Films
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Zhang, Y., Dubonos, S. V., Grigorieva, I. V., & Firsov, A. A. (2004) · Science · doi:10.1126/science.1102896 · Cited by 66,834
Preparation of Graphitic Oxide
Hummers, W. S., & Offeman, R. E. (1958) · Journal of the American Chemical Society · doi:10.1021/ja01539a017 · Cited by 29,920
Two-dimensional gas of massless Dirac fermions in graphene
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Katsnelson, M. I., Grigorieva, I. V., Dubonos, S. V., & Firsov, A. A. (2005) · Nature · doi:10.1038/nature04233 · Cited by 21,611
Synthesis of graphene-based nanosheets via chemical reduction of exfoliated graphite oxide
Stankovich, S., Dikin, D. A., Piner, R. D., Kohlhaas, K. A., Kleinhammes, A., Jia, Y., Wu, Y., Nguyen, S. T., & Ruoff, R. S. (2007) · Carbon · doi:10.1016/j.carbon.2007.02.034 · Cited by 13,878
Improved Synthesis of Graphene Oxide
Marcano, D. C., Kosynkin, D. V., Berlin, J. M., Sinitskii, A., Sun, Z., Slesarev, A., Alemany, L. B., Lu, W., & Tour, J. M. (2010) · ACS Nano · doi:10.1021/nn1006368 · Cited by 11,989
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
Large-scale pattern growth of graphene films for stretchable transparent electrodes
Kim, K. S., Zhao, Y., Jang, H., Lee, S. Y., Kim, J. M., Kim, K. S., Ahn, J.-H., Kim, P., Choi, J.-Y., & Hong, B. H. (2009) · Nature · doi:10.1038/nature07719 · Cited by 10,452
Graphene-Based Ultracapacitors
Stoller, M. D., Park, S., Zhu, Y., An, J., & Ruoff, R. S. (2008) · Nano Letters · doi:10.1021/nl802558y · Cited by 8,373
Roll-to-roll production of 30-inch graphene films for transparent electrodes
Bae, S., Kim, H., Lee, Y., Xu, X., Park, J.-S., Zheng, Y., Balakrishnan, J., Lei, T., Ri Kim, H., Song, Y. I., et al. (2010) · Nature Nanotechnology · doi:10.1038/nnano.2010.132 · Cited by 8,136
Ultrahigh electron mobility in suspended graphene
Bolotin, K. I., Sikes, K. J., Jiang, Z., Klima, M., Fudenberg, G., Hone, J., Kim, P., & Stormer, H. L. (2008) · Solid State Communications · doi:10.1016/j.ssc.2008.02.024 · Cited by 8,057
Cited by
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
Carbon-Based Nanomaterials for Biomedical Applications: A Recent Study
Maiti, D., Tong, X., Mou, X., & Yang, K. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.01401 · Cited by 733
Metadata
- Authors
- Suvarnaphaet, P., & Pechprasarn, S.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2017-09-21
- Volume
- 17
- Issue
- 10
- Pages
- 2161
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2757214187
- Cited by
- 490
- References
- 111
- FWCI
- 18.35
- 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
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-Based Materials for Biosensors: A Review. https://app.cochat.ai/papers/10.3390/s17102161
- The paper
- Suvarnaphaet, P., & Pechprasarn, S. (2017). Graphene-Based Materials for Biosensors: A Review. Sensors. https://doi.org/10.3390/s17102161
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.
