Evidence map›Paper›PMID 36133836›Full record

ReviewNanoscale advances2021

Recent advances in plasmonic nanocavities for single-molecule spectroscopy.

Nicolò Maccaferri, Grégory Barbillon, Alemayehu Nana Koya, Guowei Lu, Guillermo P Acuna, Denis Garoli

Abstract readReview
In one paragraph

Review in Nanoscale advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Strong light-matter interactions in hybrid polaritonic systems.Chemical communications (Cambridge, England) · 2026
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  17. Multifunctional charge transfer plasmon resonance sensors.Nanophotonics (Berlin, Germany) · 2023
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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

6 authors.

Nicolò MaccaferriDepartment of Physics and Materials Science, University of Luxembourg 162a avenue de la Faïencerie L-1511 Luxembourg Luxembourg.ORCID https://orcid.org/0000-0002-0143-1510
Grégory BarbillonEPF-Ecole d'Ingénieurs 3 bis rue Lakanal 92330 Sceaux France.ORCID https://orcid.org/0000-0001-7057-2184
Alemayehu Nana KoyaIstituto Italiano di Tecnologia Via Morego 30 16163 Genova Italy.ORCID https://orcid.org/0000-0001-9967-6358
Guowei LuState Key Laboratory for Mesoscopic Physics, Collaborative Innovation Center of Quantum Matter, Peking University Beijing 100871 China guillermo.acuna@unifr.ch.ORCID https://orcid.org/0000-0003-0646-6971
Guillermo P AcunaDépartement de Physique - Photonic Nanosystems, Université de Fribourg CH-1700 Fribourg Switzerland.ORCID https://orcid.org/0000-0001-8066-2677
Denis GaroliIstituto Italiano di Tecnologia Via Morego 30 16163 Genova Italy.ORCID https://orcid.org/0000-0002-5418-7494

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plasmonic nanocavities are able to engineer and confine electromagnetic fields to subwavelength volumes. In the past decade, they have enabled a large set of applications, in particular for sensing, optical trapping, and the investigation of physical and chemical phenomena at a few or single-molecule levels. This extreme sensitivity is possible thanks to the highly confined local field intensity enhancement, which depends on the geometry of plasmonic nanocavities. Indeed, suitably designed structures providing engineered local optical fields lead to enhanced optical sensing based on different phenomena such as surface enhanced Raman scattering, fluorescence, and Förster resonance energy transfer. In this mini-review, we illustrate the most recent results on plasmonic nanocavities, with specific emphasis on the detection of single molecules.

Identifiers

PMID36133836
PMCPMC9418431

What OpenQuestion holds

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Registered trials

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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.