The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Transcutaneous Glucose Sensing by Surface-Enhanced Spatially Offset Raman Spectroscopy in a Rat Model
Open accessAbstract
This letter presents the first quantitative, in vivo, transcutaneous glucose measurements using surface enhanced Raman spectroscopy (SERS). Silver film over nanosphere (AgFON) surfaces were functionalized with a mixed self-assembled monolayer (SAM) and implanted subcutaneously in a Sprague-Dawley rat. The glucose concentration was monitored in the interstitial fluid. SER spectra were collected from the sensor chip through the skin using spatially offset Raman spectroscopy (SORS). The combination of SERS and SORS is a powerful new approach to the challenging problem of in vivo metabolite and drug sensing.
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Cites
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
Toward 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
Stone, N., Faulds, K., Graham, D., & Matousek, P. (2010) · Analytical Chemistry · doi:10.1021/ac100039c · Cited by 140
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Jones, M. R., Osberg, K. D., Macfarlane, R. J., Langille, M. R., & Mirkin, C. A. (2011) · Chemical Reviews · doi:10.1021/cr1004452 · Cited by 1,159
Noble Metal Nanoparticles for Biosensing Applications
Doria, G., Conde, J., Veigas, B., Giestas, L., Almeida, C., Assunção, M., Rosa, J., & Baptista, P. V. (2012) · Sensors · doi:10.3390/s120201657 · Cited by 708
Raman spectroscopy: techniques and applications in the life sciences
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Surface-enhanced Raman spectroscopy: a half-century historical perspective
Yi, J., You, E.-M., Hu, R., Wu, D.-Y., Liu, G.-K., Yang, Z.-L., Zhang, H., Gu, Y., Wang, Y.-H., Wang, X., et al. (2025) · Chemical Society Reviews · doi:10.1039/d4cs00883a · Cited by 382
Xu, L.-J., Zong, C., Zheng, X.-S., Hu, P., Feng, J.-M., & Ren, B. (2014) · Analytical Chemistry · doi:10.1021/ac403974n · Cited by 301
Dong, R., Weng, S., Yang, L., & Liu, J. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b00137 · Cited by 195
Surface enhanced spatially offset Raman spectroscopic (SESORS) imaging – the next dimension
Stone, N., Kerssens, M., Lloyd, G. R., Faulds, K., Graham, D., & Matousek, P. (2011) · Chemical Science · doi:10.1039/c0sc00570c · Cited by 183
Harmsen, S., Bedics, M. A., Wall, M. A., Huang, R., Detty, M. R., & Kircher, M. F. (2015) · Nature Communications · doi:10.1038/ncomms7570 · Cited by 137
Kong, K. V., Ho, C. J. H., Gong, T., Lau, W. K. O., & Olivo, M. (2014) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2013.12.062 · Cited by 81
Surface Enhanced Spatially Offset Raman Spectroscopy Detection of Neurochemicals Through the Skull
Moody, A. S., Baghernejad, P. C., Webb, K. R., & Sharma, B. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.7b00985 · Cited by 56
Metadata
- Authors
- Yuen, J. M., Shah, N. C., Walsh, J. T., Glucksberg, M. R., & Van Duyne, R. P.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-09-16
- Volume
- 82
- Issue
- 20
- Pages
- 8382-8385
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2023966583
- Cited by
- 183
- References
- 5
- Type
- journal article
- Language
- en
- Open access
- green
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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.
