Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 238

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Nanostructures and nanostructured substrates for surface—enhanced Raman scattering (SERS)

Brown, Richard J. C., Milton, Martin J. T.·2008·Journal of Raman Spectroscopy

Abstract

We review the performance of various nanoscaled structures needed to support the propagation of the surface plasmons responsible for surface‐enhanced Raman scattering (SERS), and assess the potential for the optimisation of the compromise between enhancement and reproducibility that they provide, and hence their utility for relevant applications. We divide these nanostructures into those comprising structured arrays of discrete nanoparticles in two or three dimensions, and those comprising structured or regularly patterned surfaces in two or three dimensions. The most promising in terms of this compromise are those that involve the tethering of functionalised metal nanoparticles to surfaces. They are not only reproducible, but the functionalisation provides a measure of selectivity to relevant target analytes that the majority of SERS applications require. Copyright © 2008 John Wiley & Sons, Ltd.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/jrs.2030

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Cited by

See all 238

Metadata

Authors
Brown, R. J. C., & Milton, M. J. T.
Venue
Journal of Raman Spectroscopy
Publisher
Wiley
Published
2008-06-11
Volume
39
Issue
10
Pages
1313-1326
ISSN
  • 0377-0486 (ISSN-L)
  • 1097-4555
OpenAlex
W2168041418
Cited by
238
References
2
FWCI
7.98
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Nanostructures and nanostructured substrates for surface—enhanced Raman scattering (SERS). https://app.cochat.ai/papers/10.1002/jrs.2030
The paper
Brown, R. J. C., & Milton, M. J. T. (2008). Nanostructures and nanostructured substrates for surface—enhanced Raman scattering (SERS). Journal of Raman Spectroscopy. https://doi.org/10.1002/jrs.2030

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.