The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Real-Time Glucose Sensing by Surface-Enhanced Raman Spectroscopy in Bovine Plasma Facilitated by a Mixed Decanethiol/Mercaptohexanol Partition Layer
Abstract
A new, mixed decanethiol (DT)/mercaptohexanol (MH) partition layer with dramatically improved properties has been developed for glucose sensing by surface-enhanced Raman spectroscopy. This work represents significant progress toward our long-term goal of a minimally invasive, continuous, reusable glucose sensor. The DT/MH-functionalized surface has greater temporal stability, demonstrates rapid, reversible partitioning and departitioning, and is simpler to control compared to the tri(ethylene glycol) monolayer used previously. The data herein show that this DT/MH-functionalized surface is stable for at least 10 days in bovine plasma. Reversibility is demonstrated by exposing the sensor alternately to 0 and 100 mM aqueous glucose solutions (pH approximately 7). The difference spectra show that complete partitioning and departitioning occur. Furthermore, physiological levels of glucose in two complex media were quantified using multivariate analysis. In the first system, the sensor is exposed to a solution consisting of water with 1 mM lactate and 2.5 mM urea. The root-mean-squared error of prediction (RMSEP) is 92.17 mg/dL (5.12 mM) with 87% of the validation points falling within the A and B range of the Clarke error grid. In the second, more complex system, glucose is measured in the presence of bovine plasma. The RMSEP is 83.16 mg/dL (4.62 mM) with 85% of the validation points falling within the A and B range of the Clarke error grid. Finally, to evaluate the real-time response of the sensor, the 1/e time constant for glucose partitioning and departitioning in the bovine plasma environment was calculated. The time constant is 28 s for partitioning and 25 s for departitioning, indicating the rapid interaction between the SAM and glucose that is essential for continuous sensing.
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
A clearer vision for in vivo imaging
Weissleder, R. (2001) · Nature Biotechnology · doi:10.1038/86684 · Cited by 3,839
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
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
Electromagnetic Mechanism of SERS
Schatz, G. C., Young, M. A., & Duyne, R. P. (2006) · Topics in Applied Physics · doi:10.1007/3-540-33567-6_2 · Cited by 469
Analytical applications of Raman spectroscopy
Kudelski, A. (2008) · Talanta · doi:10.1016/j.talanta.2008.02.042 · Cited by 455
Metadata
- Authors
- Lyandres, O., Shah, N. C., Yonzon, C. R., Walsh, J. T., Glucksberg, M. R., & Van Duyne, R. P.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2005-09-09
- Volume
- 77
- Issue
- 19
- Pages
- 6134-6139
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W1963891260
- Cited by
- 213
- References
- 2
- FWCI
- 6.70
- 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.