The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
In Vivo Glucose Measurement by Surface-Enhanced Raman Spectroscopy
Abstract
This paper presents the first in vivo application of surface-enhanced Raman scattering (SERS). SERS was used to obtain quantitative in vivo glucose measurements from an animal model. Silver film over nanosphere surfaces were functionalized with a two-component self-assembled monolayer, and subcutaneously implanted in a Sprague-Dawley rat such that the glucose concentration of the interstitial fluid could be measured by spectroscopically addressing the sensor through an optical window. The sensor had relatively low error (RMSEC = 7.46 mg/dL (0.41 mM) and RMSEP = 53.42 mg/dL (2.97 mM).
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
Yonzon, C. R., Haynes, C. L., Zhang, X., Walsh, & Van Duyne, R. P. (2004) · Analytical Chemistry · doi:10.1021/ac035134k · Cited by 376
Self-citation
Cited by
Localized surface plasmon resonance: Nanostructures, bioassays and biosensing—A review
Petryayeva, E., & Krull, U. J. (2011) · Analytica Chimica Acta · doi:10.1016/j.aca.2011.08.020 · Cited by 1,379
Diverse Applications of Nanomedicine
Pelaz, B., Alexiou, C., Alvarez-Puebla, R. A., Alves, F., Andrews, A. M., Ashraf, S., Balogh, L. P., Ballerini, L., Bestetti, A., Brendel, C., et al. (2017) · ACS Nano · doi:10.1021/acsnano.6b06040 · Cited by 1,350
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
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
Theoretical Studies of Plasmonics using Electronic Structure Methods
Morton, S. M., Silverstein, D. W., & Jensen, L. (2011) · Chemical Reviews · doi:10.1021/cr100265f · Cited by 474
Metadata
- Authors
- Stuart, D. A., Yuen, J. M., Shah, N., Lyandres, O., Yonzon, C. R., Glucksberg, M. R., Walsh, J. T., & Van Duyne, R. P.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2006-09-12
- Volume
- 78
- Issue
- 20
- Pages
- 7211-7215
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W1982928258
- Cited by
- 358
- References
- 1
- FWCI
- 12.52
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.