Evidence map›Paper›PMID 28239616›Full record

ArticleACS photonics2017

Optimization of Nanoparticle-Based SERS Substrates through Large-Scale Realistic Simulations.

Diego M Solís, José M Taboada, Fernando Obelleiro, Luis M Liz-Marzán, F Javier García de Abajo

Abstract read
In one paragraph

Article in ACS photonics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Recent Advancements in the SERS-Based Detection ofSensors (Basel, Switzerland) · 2026
    Review
  8. Article
  9. Article
  10. OptimalJournal of applied crystallography · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. ACS applied materials & interfaces · 2024
    Article
  18. Growing Gold Nanostars on 3D Hydrogel Surfaces.Chemistry of materials : a publication of the American Chemical Society · 2024
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Diego M SolísDepartamento de Teoría de la Señal y Comunicaciones, University of Vigo , 36301 Vigo, Spain.
José M TaboadaDepartamento de Tecnología de Computadores y Comunicaciones, University of Extremadura , 10003 Cáceres, Spain.
Fernando ObelleiroDepartamento de Teoría de la Señal y Comunicaciones, University of Vigo , 36301 Vigo, Spain.
Luis M Liz-MarzánBionanoplasmonics Laboratory, CIC biomaGUNE, Paseo de Miramón 182, 20014 Donostia-San Sebastian, Spain; Ikerbasque, Basque Foundation for Science, 48013 Bilbao, Spain; CIBER de Bioingeniería, Biomateriales y Nanomedicina, CIBER-BBN, 20014 Donostia-San Sebastian, Spain.
F Javier García de AbajoICFO-Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology, 08860 Castelldefels (Barcelona), Spain; ICREA-Institució Catalana de Recerca i Estudis Avançats, Passeig Lluís Companys 23, 08010 Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface-enhanced Raman scattering (SERS) has become a widely used spectroscopic technique for chemical identification, providing unbeaten sensitivity down to the single-molecule level. The amplification of the optical near field produced by collective electron excitations -plasmons- in nanostructured metal surfaces gives rise to a dramatic increase by many orders of magnitude in the Raman scattering intensities from neighboring molecules. This effect strongly depends on the detailed geometry and composition of the plasmon-supporting metallic structures. However, the search for optimized SERS substrates has largely relied on empirical data, due in part to the complexity of the structures, whose simulation becomes prohibitively demanding. In this work, we use state-of-the-art electromagnetic computation techniques to produce predictive simulations for a wide range of nanoparticle-based SERS substrates, including realistic configurations consisting of random arrangements of hundreds of nanoparticles with various morphologies. This allows us to derive rules of thumb for the influence of particle anisotropy and substrate coverage on the obtained SERS enhancement and optimum spectral ranges of operation. Our results provide a solid background to understand and design optimized SERS substrates.

Indexed as

gold nanoparticlesoptical sensingparticle arraysplasmonssurface-enhanced Raman scattering (SERS)

Identifiers

PMID28239616
PMCPMC5319398

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.