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Size and Temperature Dependence of the Plasmon Absorption of Colloidal Gold Nanoparticles

Link, Stephan, El-Sayed, Mostafa A.·1999·The Journal of Physical Chemistry B

Abstract

The size and temperature dependence of the plasmon absorption is studied for 9, 15, 22, 48, and 99 nm gold nanoparticles in aqueous solution. The plasmon bandwidth is found to follow the predicted behavior as it increases with decreasing size in the intrinsic size region (mean diameter smaller than 25 nm), and also increases with increasing size in the extrinsic size region (mean diameter larger than 25 nm). Because of this pronounced size effect a homogeneous size distribution and therefore a homogeneous broadening of the plasmon band is concluded for all the prepared gold nanoparticle samples. By applying a simple two-level model the dephasing time of the coherent plasmon oscillation is calculated and found to be less than 5 fs. Furthermore, the temperature dependence of the plasmon absorption is examined. A small temperature effect is observed. This is consistent with the fact that the dominant electronic dephasing mechanism involves electron−electron interactions rather than electron−phonon coupling.

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Metadata

Authors
Link, S., & El-Sayed, M. A.
Venue
The Journal of Physical Chemistry B
Published
1999-05-01
Volume
103
Issue
21
Pages
4212-4217
ISSN
  • 1520-5207 (ISSN-L)
  • 1520-6106
OpenAlex
W2123976897
Cited by
2,787
References
2
FWCI
10.97
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Size and Temperature Dependence of the Plasmon Absorption of Colloidal Gold Nanoparticles. https://app.cochat.ai/papers/10.1021/jp984796o
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Link, S., & El-Sayed, M. A. (1999). Size and Temperature Dependence of the Plasmon Absorption of Colloidal Gold Nanoparticles. The Journal of Physical Chemistry B. https://doi.org/10.1021/jp984796o

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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.