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Cited by 1,289

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Self-Assembled Metal Colloid Monolayers: An Approach to SERS Substrates

Freeman, R. Griffith, Grabar, Katherine C., Allison, Keith J., Bright, Robin M., Davis, Jennifer A., Guthrie, Andrea P., Hommer, Michael B., Jackson, Michael A., Smith, Patrick C., Walter, Daniel G., Natan, Michael J.·1995·Science

Abstract

The self-assembly of monodisperse gold and silver colloid particles into monolayers on polymer-coated substrates yields macroscopic surfaces that are highly active for surface-enhanced Raman scattering (SERS). Particles are bound to the substrate through multiple bonds between the colloidal metal and functional groups on the polymer such as cyanide (CN), amine (NH 2 ), and thiol (SH). Surface evolution, which can be followed in real time by ultraviolet-visible spectroscopy and SERS, can be controlled to yield high reproducibility on both the nanometer and the centimeter scales. On conducting substrates, colloid monolayers are electrochemically addressable and behave like a collection of closely spaced microelectrodes. These favorable properties and the ease of monolayer construction suggest a widespread use for metal colloid-based substrates.

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Metadata

Authors
Freeman, R. G., Grabar, K. C., Allison, K. J., Bright, R. M., Davis, J. A., Guthrie, A. P., Hommer, M. B., Jackson, M. A., Smith, P. C., Walter, D. G., & Natan, M. J.
Venue
Science
Published
1995-03-17
Volume
267
Issue
5204
Pages
1629-1632
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1616665557
Cited by
1,289
References
1
FWCI
17.49
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Self-Assembled Metal Colloid Monolayers: An Approach to SERS Substrates. https://app.cochat.ai/papers/10.1126/science.267.5204.1629
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Freeman, R. G., Grabar, K. C., Allison, K. J., Bright, R. M., Davis, J. A., Guthrie, A. P., Hommer, M. B., Jackson, M. A., Smith, P. C., Walter, D. G., & Natan, M. J. (1995). Self-Assembled Metal Colloid Monolayers: An Approach to SERS Substrates. Science. https://doi.org/10.1126/science.267.5204.1629

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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