The DOI matches its Crossref record; 231 of the 231 references it cites were found in a registry or an index.
Sensing at the Surface of Graphene Field‐Effect Transistors
Open accessAbstract
Recent research trends now offer new opportunities for developing the next generations of label‐free biochemical sensors using graphene and other two‐dimensional materials. While the physics of graphene transistors operated in electrolyte is well grounded, important chemical challenges still remain to be addressed, namely the impact of the chemical functionalizations of graphene on the key electrical parameters and the sensing performances. In fact, graphene – at least ideal graphene – is highly chemically inert. The functionalizations and chemical alterations of the graphene surface – both covalently and non‐covalently – are crucial steps that define the sensitivity of graphene. The presence, reactivity, adsorption of gas and ions, proteins, DNA, cells and tissues on graphene have been successfully monitored with graphene. This review aims to unify most of the work done so far on biochemical sensing at the surface of a (chemically functionalized) graphene field‐effect transistor and the challenges that lie ahead. The authors are convinced that graphene biochemical sensors hold great promise to meet the ever‐increasing demand for sensitivity, especially looking at the recent progresses suggesting that the obstacle of Debye screening can be overcome.
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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
Hamill, O. P., Marty, A., Neher, E., Sakmann, B., & Sigworth, F. J. (1981) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/bf00656997 · Cited by 18,436
Physics of Semiconductor Devices
Sze, S. M., & Ng, K. K. (2006) · doi:10.1002/0470068329 · Cited by 14,627
Two-dimensional atomic crystals
Novoselov, K. S., Jiang, D., Schedin, F., Booth, T. J., Khotkevich, V. V., Morozov, S. V., & Geim, A. K. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0502848102 · Cited by 11,788
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-Area Synthesis of High-Quality and Uniform Graphene Films on Copper Foils
Li, X., Cai, W., An, J., Kim, S., Nah, J., Yang, D., Piner, R., Velamakanni, A., Jung, I., Tutuc, E., et al. (2009) · Science · doi:10.1126/science.1171245 · Cited by 11,220
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
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
Detection of individual gas molecules adsorbed on graphene
Schedin, F., Geim, A. K., Morozov, S. V., Hill, E. W., Blake, P., Katsnelson, M. I., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1967 · Cited by 8,028
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
Two-Dimensional Field-Effect Transistor Sensors: The Road toward Commercialization
Dai, C., Liu, Y., & Wei, D. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00924 · Cited by 303
Metadata
- Authors
- Fu, W., Jiang, L., van Geest, E. P., Lima, L. M. C., & Schneider, G. F.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2016-11-29
- Volume
- 29
- Issue
- 6
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2557857346
- Cited by
- 364
- References
- 231
- FWCI
- 10.19
- Type
- journal article
- Language
- en
- Open access
- green
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