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Cited by 291

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

Jain, Prashant K., El-Sayed, Mostafa A.·2008·Nano Letters

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.

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Metadata

Authors
Jain, P. K., & El-Sayed, M. A.
Venue
Nano Letters
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

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CoChat. (2026). Citation check: Noble Metal Nanoparticle Pairs: Effect of Medium for Enhanced Nanosensing. https://app.cochat.ai/papers/10.1021/nl8021835
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Jain, P. K., & El-Sayed, M. A. (2008). Noble Metal Nanoparticle Pairs: Effect of Medium for Enhanced Nanosensing. Nano Letters. https://doi.org/10.1021/nl8021835

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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.