Evidence map›Paper›PMID 35336430›Full record

ArticleSensors (Basel, Switzerland)2022

Optimization of Cladding Diameter for Refractive Index Sensing in Tilted Fiber Bragg Gratings.

Sanzhar Korganbayev, Marzhan Sypabekova, Aida Amantayeva, Álvaro González-Vila, Christophe Caucheteur, Paola Saccomandi, Daniele Tosi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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. Article
  2. Review
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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

7 authors.

Sanzhar KorganbayevPolitecnico di Milano, 20156 Milan, Italy.ORCID 0000-0002-6299-6048
Marzhan SypabekovaSchool of Medicine, Nazarbayev University, Nur-Sultan 020000, Kazakhstan.
Aida AmantayevaSchool of Engineering and Digital Sciences, Nazarabayev University, Nur-Sultan 010000, Kazakhstan.
Álvaro González-VilaElectromagnetism and Telecommunication Department, University of Mons, 7000 Mons, Belgium.ORCID 0000-0003-0294-1616
Christophe CaucheteurElectromagnetism and Telecommunication Department, University of Mons, 7000 Mons, Belgium.
Paola SaccomandiPolitecnico di Milano, 20156 Milan, Italy.ORCID 0000-0003-4236-8033
Daniele TosiSchool of Engineering and Digital Sciences, Nazarabayev University, Nur-Sultan 010000, Kazakhstan.ORCID 0000-0002-6500-4964

Funding

Fondazione Cariplo 2017-2075Nazarbayev University 091019CRP2117Nazarbayev University 240919FD3908
6 · The paper itself

Abstract

This work presents an experimental investigation of the effect of chemical etching on the refractive index (RI) sensitivity of tilted fiber Bragg gratings (TFBGs). Hydrofluoric acid (HF) was used stepwise in order to reduce the optical fiber diameter from 125 µm to 13 µm. After each etching step, TFBGs were calibrated using two ranges of RI solutions: the first one with high RI variation (from 1.33679 RIU to 1.37078 RIU) and the second with low RI variation (from 1.34722 RIU to 1.34873 RIU). RI sensitivity was analyzed in terms of wavelength shift and intensity change of the grating resonances. The highest amplitude sensitivities obtained are 1008 dB/RIU for the high RI range and 8160 dB/RIU for the low RI range, corresponding to the unetched TFBG. The highest wavelength sensitivities are 38.8 nm/RIU for a fiber diameter of 100 µm for the high RI range, and 156 nm/RIU for a diameter of 40 µm for the small RI range. In addition, the effect of the etching process on the spectral intensity of the cladding modes, their wavelength separation and sensor linearity (R

Indexed as

Optical FibersRefractometrychemical etchingetching optimizationoptical fiber sensorsrefractive index sensingtilted fiber Bragg grating

Identifiers

PMID35336430
PMCPMC8953173

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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.