The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Noble Metal Nanoparticle Pairs: Effect of Medium for Enhanced Nanosensing
Abstract
In this Letter, we show using both a quasi-static model and discrete dipole approximation simulations of nanoparticle pairs that the surface plasmon resonance shift resulting from the electromagnetic coupling between noble metal nanoparticles increases with an increase in the dielectric constant of the medium. As the particle pair partners approach each other, there is an increase in the rate at which the plasmon resonance shifts in response to a medium refractive index change. Thus, the surface plasmon resonance of a plasmonic nanoparticle pair exhibits higher sensitivity to the environment/medium refractive index as compared to an isolated nanoparticle. The medium sensitivity of the particle pair is shown to increase near exponentially with a decrease in the interparticle separation between the nanoparticles. We therefore propose that enhanced plasmon resonance nanosensing may be achieved by employing coupled particles instead of colloids or arrays of noninteracting particles.
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
Optical Constants of the Noble Metals
Johnson, P. B., & Christy, R. W. (1972) · Physical Review B · doi:10.1103/physrevb.6.4370 · Cited by 20,094
Beiträge zur Optik trüber Medien, speziell kolloidaler Metallösungen
Mie, G. (1908) · Annalen der Physik · doi:10.1002/andp.19083300302 · Cited by 11,537
Haes, A. J., & Van Duyne, R. P. (2002) · Journal of the American Chemical Society · doi:10.1021/ja020393x · Cited by 2,057
Cited by
LSPR Chip for Parallel, Rapid, and Sensitive Detection of Cancer Markers in Serum
Aćimović, S. S., Ortega, M. A., Sanz, V., Berthelot, J., Garcia-Cordero, J. L., Renger, J., Maerkl, S. J., Kreuzer, M. P., & Quidant, R. (2014) · Nano Letters · doi:10.1021/nl500574n · Cited by 310
Nanoscale Refractive Index Sensors with High Figures of Merit via Optical Slot Antennas
Gao, B., Wang, Y., Zhang, T., Xu, Y., He, A., Dai, L., & Zhang, J. (2019) · ACS Nano · doi:10.1021/acsnano.9b03406 · Cited by 25
Metadata
- Authors
- Jain, P. K., & El-Sayed, M. A.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-10-29
- Volume
- 8
- Issue
- 12
- Pages
- 4347-4352
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2062106989
- Cited by
- 291
- References
- 3
- FWCI
- 14.71
- 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.