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Engineered SERS Substrates with Multiscale Signal Enhancement: Nanoparticle Cluster Arrays

Yan, Bo, Thubagere, Anupama, Premasiri, W. Ranjith, Ziegler, Lawrence D., Dal Negro, Luca, Reinhard, Björn M.·2009·ACS Nano

Abstract

Defined nanoparticle cluster arrays (NCAs) with total lateral dimensions of up to 25.4 microm x 25.4 microm have been fabricated on top of a 10 nm thin gold film using template-guided self-assembly. This approach provides precise control of the structural parameters in the arrays, allowing a systematic variation of the average number of nanoparticles in the clusters (n) and the edge-to-edge separation (Lambda) between 1 < n < 20 and 50 nm < or = Lambda < or = 1000 nm, respectively. Investigations of the Rayleigh scattering spectra and surface-enhanced Raman scattering (SERS) signal intensities as a function of n and Lambda reveal direct near-field coupling between the particles within individual clusters, whose strength increases with the cluster size (n) until it saturates at around n = 4. Our analysis shows that strong near-field interactions between individual clusters significantly affect the SERS signal enhancement for edge-to-edge separations Lambda < 200 nm. The observed dependencies of the Raman signals on n and Lambda indicate that NCAs support a multiscale signal enhancement which originates from simultaneous inter- and intracluster coupling and |E|-field enhancement. The NCAs provide strong and reproducible SERS signals not only from small molecules but also from whole bacterial cells, which enabled a rapid spectral discrimination between three tested bacteria species: Escherichia coli, Bacillus cereus, and Staphylococcus aureus.

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Crossref · 10.1021/nn800836f

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Metadata

Authors
Yan, B., Thubagere, A., Premasiri, W. R., Ziegler, L. D., Dal Negro, L., & Reinhard, B. M.
Venue
ACS Nano
Published
2009-04-08
Volume
3
Issue
5
Pages
1190-1202
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W2118306365
Cited by
384
References
44
FWCI
13.55
Type
journal article
Language
en
Open access
closed

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