The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Graphene Fluorescence Resonance Energy Transfer Aptasensor for the Thrombin Detection
Abstract
Combining nanomaterials and biomolecule recognition units is promising in developing novel clinic diagnostic and protein analysis techniques. In this work, a highly sensitive and specific fluorescence resonance energy transfer (FRET) aptasensor for thrombin detection is developed based on the dye labeled aptamer assembled graphene. Due to the noncovalent assembly between aptamer and graphene, fluorescence quenching of the dye takes place because of FRET. The addition of thrombin leads to the fluorescence recovery due to the formation of quadruplex-thrombin complexes which have weak affinity to graphene and keep the dyes away from graphene surface. Because of the high fluorescence quenching efficiency, unique structure, and electronic properties of graphene, the graphene aptasensor exhibits extraordinarily high sensitivity and excellent specificity in both buffer and blood serum. A detection limit as low as 31.3 pM is obtained based on the graphene FRET aptasensor, which is two orders magnitude lower than those of fluorescent sensors based on carbon nanotubes. The excellent performance of FRET aptasensor based on graphene will also be ascribed to the unique structure and electronic properties of graphene.
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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
Experimental observation of the quantum Hall effect and Berry's phase in graphene
Zhang, Y., Tan, Y.-W., Stormer, H. L., & Kim, P. (2005) · Nature · doi:10.1038/nature04235 · Cited by 13,435
Graphene-based composite materials
Stankovich, S., Dikin, D. A., Dommett, G. H. B., Kohlhaas, K. M., Zimney, E. J., Stach, E. A., Piner, R. D., Nguyen, S. T., & Ruoff, R. S. (2006) · Nature · doi:10.1038/nature04969 · Cited by 12,922
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
Quantum Dots for Live Cells, in Vivo Imaging, and Diagnostics
Michalet, X., Pinaud, F. F., Bentolila, L. A., Tsay, J. M., Doose, S., Li, J. J., Sundaresan, G., Wu, A. M., Gambhir, S. S., & Weiss, S. (2005) · Science · doi:10.1126/science.1104274 · Cited by 7,790
Self-citationNanotube Molecular Wires as Chemical Sensors
Kong, J., Franklin, N. R., Zhou, C., Chapline, M. G., Peng, S., Cho, K., & Dai, H. (2000) · Science · doi:10.1126/science.287.5453.622 · Cited by 6,043
Nanowire Nanosensors for Highly Sensitive and Selective Detection of Biological and Chemical Species
Cui, Y., Wei, Q., Park, H., & Lieber, C. M. (2001) · Science · doi:10.1126/science.1062711 · Cited by 5,809
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
DNA-assisted dispersion and separation of carbon nanotubes
Zheng, M., Jagota, A., Semke, E. D., Diner, B. A., Mclean, R. S., Lustig, S. R., Richardson, R. E., & Tassi, N. G. (2003) · Nature Materials · doi:10.1038/nmat877 · Cited by 2,699
Electronic Transport Properties of Individual Chemically Reduced Graphene Oxide Sheets
Gómez-Navarro, C., Weitz, R. T., Bittner, A. M., Scolari, M., Mews, A., Burghard, M., & Kern, K. (2007) · Nano Letters · doi:10.1021/nl072090c · Cited by 2,389
Cited by
Functional Composite Materials Based on Chemically Converted Graphene
Bai, H., Li, C., & Shi, G. (2011) · Advanced Materials · doi:10.1002/adma.201003753 · Cited by 1,080
Nanostructured carbon for energy storage and conversion
Candelaria, S. L., Shao, Y., Zhou, W., Li, X., Xiao, J., Zhang, J.-G., Wang, Y., Liu, J., Li, J., & Cao, G. (2012) · Nano Energy · doi:10.1016/j.nanoen.2011.11.006 · Cited by 975
Self-citationGraphene based sensors and biosensors
Justino, C. I. L., Gomes, A. R., Freitas, A. C., Duarte, A. C., & Rocha-Santos, T. A. P. (2017) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2017.04.003 · Cited by 574
Graphene and graphene oxide as nanomaterials for medicine and biology application
Priyadarsini, S., Mohanty, S., Mukherjee, S., Basu, S., & Mishra, M. (2018) · Journal of Nanostructure in Chemistry · doi:10.1007/s40097-018-0265-6 · Cited by 570
Adsorption and Desorption of DNA on Graphene Oxide Studied by Fluorescently Labeled Oligonucleotides
Wu, M., Kempaiah, R., Huang, P.-J. J., Maheshwari, V., & Liu, J. (2011) · Langmuir · doi:10.1021/la1037926 · Cited by 527
Metadata
- Authors
- Chang, H., Tang, L., Wang, Y., Jiang, J., & Li, J.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-02-24
- Volume
- 82
- Issue
- 6
- Pages
- 2341-2346
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2051080992
- Cited by
- 892
- References
- 33
- FWCI
- 36.74
- Type
- journal article
- Language
- en
- Open access
- closed
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