Evidence map›Paper›PMID 34640653›Full record

ArticleSensors (Basel, Switzerland)2021

The Role of Tapered Light-Diffusing Fibers in Plasmonic Sensor Configurations.

Nunzio Cennamo, Francesco Arcadio, Luigi Zeni, Ester Catalano, Domenico Del Prete, Gionatan Buonanno, Aldo Minardo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

7 authors.

Nunzio CennamoDepartment of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy.ORCID 0000-0001-7769-0984
Francesco ArcadioDepartment of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy.ORCID 0000-0001-7863-743X
Luigi ZeniDepartment of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy.ORCID 0000-0001-8356-7480
Ester CatalanoDepartment of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy.
Domenico Del PreteDepartment of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy.ORCID 0000-0001-8695-2093
Gionatan BuonannoDepartment of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy.ORCID 0000-0002-9220-9260
Aldo MinardoDepartment of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy.ORCID 0000-0002-8966-9143

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we experimentally analyzed the effect of tapering in light-diffusing optical fibers (LDFs) when employed as surface plasmon resonance (SPR)-based sensors. Although tapering is commonly adopted to enhance the performance of plasmonic optical fiber sensors, we have demonstrated that in the case of plasmonic sensors based on LDFs, the tapering produces a significant worsening of the bulk sensitivity (roughly 60% in the worst case), against a slight decrease in the full width at half maximum (FWHM) of the SPR spectra. Furthermore, we have demonstrated that these aspects become more pronounced when the taper ratio increases. Secondly, we have established that a possible alternative exists in using the tapered LDF as a modal filter after the sensible region. In such a case, we have determined that a good trade-off between the loss in sensitivity and the FWHM decrease could be reached.

Indexed as

light-diffusing fibersmodal filteroptical fiber sensorssurface plasmon resonance (SPR)tapered light-diffusing fibers

Identifiers

PMID34640653
PMCPMC8512122

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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.