Evidence map›Paper›PMID 34650079›Full record

ArticleScientific reports2021

Microdrilled tapers to enhance optical fiber lasers for sensing.

R A Perez-Herrera, M Bravo, P Roldan-Varona, D Leandro, L Rodriguez-Cobo, J M Lopez-Higuera, M Lopez-Amo

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

R A Perez-HerreraDepartment of Electrical Electronic and Communication Engineering, Public University of Navarra, 31006, Pamplona, Spain. rosa.perez@unavarra.es.
M BravoDepartment of Electrical Electronic and Communication Engineering, Public University of Navarra, 31006, Pamplona, Spain.
P Roldan-VaronaPhotonics Engineering Group, University of Cantabria, 39005, Santander, Spain.
D LeandroDepartment of Electrical Electronic and Communication Engineering, Public University of Navarra, 31006, Pamplona, Spain.
L Rodriguez-CoboCIBER-Bbn, Instituto de Salud Carlos III, 28029, Madrid, Spain.
J M Lopez-HigueraPhotonics Engineering Group, University of Cantabria, 39005, Santander, Spain.
M Lopez-AmoDepartment of Electrical Electronic and Communication Engineering, Public University of Navarra, 31006, Pamplona, Spain.

Funding

Agencia Estatal de Investigación PID2019-107270RBBeatriz Galindo BEAGAL18/00116 fellowshipFundación Caja Navarra and Fundación la Caixa proyect LCF/PR/PR13/51080004Marie Skłodowska-Curie grant No 838143Ministerio de Educación, Cultura y Deporte of Spain PhD grant FPU2018/02797Projects for young researches UPNA 2019 PJUPNA1928
6 · The paper itself

Abstract

In this work, an experimental analysis of the performance of different types of quasi-randomly distributed reflectors inscribed into a single-mode fiber as a sensing mirror is presented. These artificially-controlled backscattering fiber reflectors are used in short linear cavity fiber lasers. In particular, laser emission and sensor application features are analyzed when employing optical tapered fibers, micro-drilled optical fibers and 50 μm-waist or 100 μm-waist micro-drilled tapered fibers (MDTF). Single-wavelength laser with an output power level of about 8.2 dBm and an optical signal-to-noise ratio of 45 dB were measured when employing a 50 μm-waist micro-drilled tapered optical fiber. The achieved temperature sensitivities were similar to those of FBGs; however, the strain sensitivity improved more than one order of magnitude in comparison with FBG sensors, attaining slope sensitivities as good as 18.1 pm/με when using a 50 μm-waist MDTF as distributed reflector.

Identifiers

PMID34650079
PMCPMC8517004

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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.