The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Graphene in biosensing
Open accessAbstract
Biosensing is paramount for improving the quality of human life. Biosensors and biosensing protocols are able to detect a wide range of compounds, sensitively and selectively, with applications in security, health care for point-of-care analyses of diseases, and environmental safety. Here, we describe biosensors and biosensing systems employing graphene. Graphene is a zero-gap semiconductor material, which is electroactive and transparent. Because of its interesting properties, graphene has found its way into a wide variety of biosensing schemes. It has been used as a transducer in bio-field-effect transistors, electrochemical biosensors, impedance biosensors, electrochemiluminescence, and fluorescence biosensors, as well as biomolecular labels. In our review, we describe the application of graphene for enzymatic biosensing, DNA sensing, and immunosensing. We compare different techniques and present our views on the future development of the field.
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
Geim, A. K., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1849 · Cited by 39,979
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
Fine Structure Constant Defines Visual Transparency of Graphene
Nair, R. R., Blake, P., Grigorenko, A. N., Novoselov, K. S., Booth, T. J., Stauber, T., Peres, N. M. R., & Geim, A. K. (2008) · Science · doi:10.1126/science.1156965 · Cited by 9,084
Wallace, P. R. (1947) · Physical Review · doi:10.1103/physrev.71.622 · Cited by 5,055
Habermehl, G. (1983) · Toxicon · doi:10.1016/0041-0101(83)90286-6 · Cited by 3,092
Electromechanical Resonators from Graphene Sheets
Bunch, J. S., van der Zande, A. M., Verbridge, S. S., Frank, I. W., Tanenbaum, D. M., Parpia, J. M., Craighead, H. G., & McEuen, P. L. (2007) · Science · doi:10.1126/science.1136836 · Cited by 2,886
New insights into the structure and reduction of graphite oxide
Gao, W., Alemany, L. B., Ci, L., & Ajayan, P. M. (2009) · Nature Chemistry · doi:10.1038/nchem.281 · Cited by 2,583
Nitrogen-Doped Graphene and Its Application in Electrochemical Biosensing
Wang, Y., Shao, Y., Matson, D. W., Li, J., & Lin, Y. (2010) · ACS Nano · doi:10.1021/nn100315s · Cited by 2,155
Evolution of Surface Functional Groups in a Series of Progressively Oxidized Graphite Oxides
Szabó, T., Berkesi, O., Forgó, P., Josepovits, K., Sanakis, Y., Petridis, D., & Dékány, I. (2006) · Chemistry of Materials · doi:10.1021/cm060258+ · Cited by 1,792
Cited by
Nanocarbons for Biology and Medicine: Sensing, Imaging, and Drug Delivery
Panwar, N., Soehartono, A. M., Chan, K. K., Zeng, S., Xu, G., Qu, J., Coquet, P., Yong, K.-T., & Chen, X. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00099 · Cited by 555
Graphene Oxide as an Optical Biosensing Platform
Morales‐Narváez, E., & Merkoçi, A. (2012) · Advanced Materials · doi:10.1002/adma.201200373 · Cited by 508
Point of care testing: The impact of nanotechnology
Syedmoradi, L., Daneshpour, M., Alvandipour, M., Gomez, F. A., Hajghassem, H., & Omidfar, K. (2017) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2016.08.084 · Cited by 367
Graphene-based nanomaterials for drug and/or gene delivery, bioimaging, and tissue engineering
Zhao, H., Ding, R., Zhao, X., Li, Y., Qu, L., Pei, H., Yildirimer, L., Wu, Z., & Zhang, W. (2017) · Drug Discovery Today · doi:10.1016/j.drudis.2017.04.002 · Cited by 336
Nanomaterials for Healthcare Biosensing Applications
Pirzada, M., & Altintas, Z. (2019) · Sensors · doi:10.3390/s19235311 · Cited by 253
Metadata
- Authors
- Pumera, M.
- Venue
- Materials Today
- Publisher
- Elsevier BV
- Published
- 2011-07
- Volume
- 14
- Issue
- 7-8
- Pages
- 308-315
- ISSN
- 1369-7021 (ISSN-L)
- OpenAlex
- W2122857078
- Cited by
- 851
- References
- 43
- FWCI
- 32.75
- Type
- journal article
- Language
- en
- Open access
- hybrid
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 in biosensing. https://app.cochat.ai/papers/10.1016/s1369-7021(11)70160-2
- The paper
- Pumera, M. (2011). Graphene in biosensing. Materials Today. https://doi.org/10.1016/s1369-7021(11)70160-2
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.