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Cited by 508

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Localized Surface Plasmon Resonance Biosensors

Zhao, Jing, Zhang, Xiaoyu, Yonzon, Chanda Ranjit, Haes, Amanda J, Van Duyne, Richard P·2006·Nanomedicine

Abstract

In this review, the most recent progress in the development of noble metal nano-optical sensors based on localized surface plasmon resonance (LSPR) spectroscopy is summarized. The sensing principle relies on the LSPR spectral shifts caused by the surrounding dielectric environmental change in a binding event. Nanosphere lithography, an inexpensive and simple nanofabrication technique, has been used to fabricate the nanoparticles as the LSPR sensing platforms. As an example of the biosensing applications, the LSPR detection for a biomarker of Alzheimer's disease, amyloid-derived diffusable ligands, in human brain extract and cerebrospinal fluid samples is highlighted. Furthermore, the LSPR sensing method can be modified easily and used in a variety of applications. More specifically, a LSPR chip capable of multiplex sensing, a combined electrochemical and LSPR protocol and a fabrication method of solution-phase nanotriangles are presented here.

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Metadata

Authors
Zhao, J., Zhang, X., Yonzon, C. R., Haes, A. J., & Van Duyne, R. P.
Venue
Nanomedicine
Published
2006-08
Volume
1
Issue
2
Pages
219-228
ISSN
  • 1743-5889 (ISSN-L)
  • 1748-6963
OpenAlex
W2098272431
Cited by
508
References
44
FWCI
10.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Localized Surface Plasmon Resonance Biosensors. https://app.cochat.ai/papers/10.2217/17435889.1.2.219
The paper
Zhao, J., Zhang, X., Yonzon, C. R., Haes, A. J., & Van Duyne, R. P. (2006). Localized Surface Plasmon Resonance Biosensors. Nanomedicine. https://doi.org/10.2217/17435889.1.2.219

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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.