The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Recent progress in SERS biosensing
Open accessAbstract
This perspective gives an overview of recent developments in surface-enhanced Raman scattering (SERS) for biosensing. We focus this review on SERS papers published in the last 10 years and to specific applications of detecting biological analytes. Both intrinsic and extrinsic SERS biosensing schemes have been employed to detect and identify small molecules, nucleic acids, lipids, peptides, and proteins, as well as for in vivo and cellular sensing. Current SERS substrate technologies along with a series of advancements in surface chemistry, sample preparation, intrinsic/extrinsic signal transduction schemes, and tip-enhanced Raman spectroscopy are discussed. The progress covered herein shows great promise for widespread adoption of SERS biosensing.
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Cites
Raman spectra of pyridine adsorbed at a silver electrode
Fleischmann, M., Hendra, P. J., & McQuillan, A. J. (1974) · Chemical Physics Letters · doi:10.1016/0009-2614(74)85388-1 · Cited by 7,172
Surface raman spectroelectrochemistry
Jeanmaire, D. L., & Van Duyne, R. P. (1977) · Journal of Electroanalytical Chemistry and Interfacial Electrochemistry · doi:10.1016/s0022-0728(77)80224-6 · Cited by 4,738
In vivo tumor targeting and spectroscopic detection with surface-enhanced Raman nanoparticle tags
Qian, X., Peng, X.-H., Ansari, D. O., Yin-Goen, Q., Chen, G. Z., Shin, D. M., Yang, L., Young, A. N., Wang, M. D., & Nie, S. (2008) · Nature Biotechnology · doi:10.1038/nbt1377 · Cited by 2,201
Electrochemical Glucose Sensors and Their Applications in Diabetes Management
Heller, A., & Feldman, B. (2008) · Chemical Reviews · doi:10.1021/cr068069y · Cited by 1,707
Surface-Enhanced Raman Spectroscopy
Haynes, C. L., McFarland, A. D., & Van Duyne, R. P. (2005) · Analytical Chemistry · doi:10.1021/ac053456d · Cited by 1,144
Self-citationToward a Glucose Biosensor Based on Surface-Enhanced Raman Scattering
Shafer-Peltier, K. E., Haynes, C. L., Glucksberg, M. R., & Van Duyne, R. P. (2003) · Journal of the American Chemical Society · doi:10.1021/ja028255v · Cited by 653
Self-citationYonzon, C. R., Haynes, C. L., Zhang, X., Walsh, & Van Duyne, R. P. (2004) · Analytical Chemistry · doi:10.1021/ac035134k · Cited by 376
Self-citationStone, N., Faulds, K., Graham, D., & Matousek, P. (2010) · Analytical Chemistry · doi:10.1021/ac100039c · Cited by 140
Cited by
Surface plasmon resonance in gold nanoparticles: a review
Amendola, V., Pilot, R., Frasconi, M., Maragò, O. M., & Iatì, M. A. (2017) · Journal of Physics: Condensed Matter · doi:10.1088/1361-648x/aa60f3 · Cited by 1,905
Gold Nanomaterials at Work in Biomedicine
Yang, X., Yang, M., Pang, B., Vara, M., & Xia, Y. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00193 · Cited by 1,162
SERS Nanoparticles in Medicine: From Label-Free Detection to Spectroscopic Tagging
Lane, L. A., Qian, X., & Nie, S. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00265 · Cited by 873
Point-of-care microfluidic devices for pathogen detection
Nasseri, B., Soleimani, N., Rabiee, N., Kalbasi, A., Karimi, M., & Hamblin, M. R. (2018) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2018.05.050 · Cited by 382
Surface-enhanced Raman scattering in cancer detection and imaging
Vendrell, M., Maiti, K. K., Dhaliwal, K., & Chang, Y.-T. (2013) · Trends in Biotechnology · doi:10.1016/j.tibtech.2013.01.013 · Cited by 375
Metadata
- Authors
- Bantz, K. C., Meyer, A. F., Wittenberg, N. J., Im, H., Kurtuluş, Ö., Lee, S. H., Lindquist, N. C., Oh, S.-H., & Haynes, C. L.
- Venue
- Physical Chemistry Chemical Physics
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2011
- Volume
- 13
- Issue
- 24
- Pages
- 11551
- ISSN
- 1463-9076 (ISSN-L)
- 1463-9084
- OpenAlex
- W2042929094
- Cited by
- 620
- References
- 8
- FWCI
- 15.02
- Type
- journal article
- Language
- en
- Open access
- green
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- Bantz, K. C., Meyer, A. F., Wittenberg, N. J., Im, H., Kurtuluş, Ö., Lee, S. H., Lindquist, N. C., Oh, S.-H., & Haynes, C. L. (2011). Recent progress in SERS biosensing. Physical Chemistry Chemical Physics. https://doi.org/10.1039/c0cp01841d
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