Evidence map›Paper›PMID 39634040›Full record

ArticleNanophotonics (Berlin, Germany)2023

Honeycomb-like aluminum antennas for surface-enhanced infrared absorption sensing.

Melissa Najem, Franck Carcenac, Luka Coutaud, Mohamed Mouhibi, Thierry Taliercio, Fernando Gonzalez-Posada

Abstract read
In one paragraph

Article in Nanophotonics (Berlin, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

6 authors.

Melissa NajemUniversity of Montpellier, Institut d'Electronique et des Systèmes, Montpellier, Occitanie, France.ORCID https://orcid.org/0000-0002-7125-517X
Franck CarcenacCNRS Laboratory for Systems Analysis and Architecture, Toulouse, Occitanie, France.
Luka CoutaudUniversity of Montpellier, Institut d'Electronique et des Systèmes, Montpellier, Occitanie, France.
Mohamed MouhibiUniversity of Montpellier, Institut d'Electronique et des Systèmes, Montpellier, Occitanie, France.
Thierry TaliercioUniversity of Montpellier, Institut d'Electronique et des Systèmes, Montpellier, Occitanie, France.
Fernando Gonzalez-PosadaUniversity of Montpellier, Institut d'Electronique et des Systèmes, Montpellier, Occitanie, France.ORCID https://orcid.org/0000-0002-5601-487X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface-enhanced infrared absorption (SEIRA) spectroscopy is a competent method to detect trace quantity of molecules and even protein conformational flexibility by enhancing their vibrational modes. To improve the spectroscopy features, we propose a surface with honeycomb-like (HC) arrangement of aluminum equilateral triangles within a metal-insulator-metal configuration. With adjustable geometric parameters, the HC nanoantennas allow a tunable and wide spectral coverage in the IR. The reflectance measurements correlate extremely well with the numerical simulations. Being compact and insensitive to the light polarization, the HC are appealing for boosting the signal-to-noise ratio and increasing the number of hotspots as required for sensing applications. These nanoantennas are thus suitable for accurate and broadband SEIRA sensing via a spectral overlap between the large plasmonic resonances and the narrow IR vibrational modes of our analyte (vanillin). In line with our previously studied bowties nanoantennas, we demonstrate, using HC, SEIRA enhancement factors greater than 10

Indexed as

aluminumhoneycomb nanoantennasMIMplasmonicsSEIRA spectroscopywide tunability

Identifiers

PMID39634040
PMCPMC11501651

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.