Evidence map›Paper›PMID 39001114›Full record

ArticleSensors (Basel, Switzerland)2024

Side-Opened Hollow Fiber-Based SPR Sensor for High Refractive Index Detection.

Ge Meng, Nannan Luan, Hao He, Fan Lei, Jianfei Liu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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. Review
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

5 authors.

Ge MengSchool of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China.ORCID 0009-0008-8244-9886
Nannan LuanSchool of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China.ORCID 0000-0003-3305-2707
Hao HeSchool of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China.
Fan LeiKey Laboratory of Natural Resources Monitoring and Supervision in Southern Hilly Region, Ministry of Natural Resources, Changsha 410000, China.
Jianfei LiuSchool of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China.

Funding

Department of Education of Hebei Province QN2021038National Natural Science Foundation of China 32200546Natural Science Foundation of Hebei Province F2019202294Natural Science Research Foundation of Hebei University of Technology JBKYXX2213Open Topics in Key Laboratory of Natural Resources Monitoring and Supervision in Southern Hilly Region, Ministry of Natural Resources NRMSSHR-2022-Y03
6 · The paper itself

Abstract

To facilitate the sensor fabrication and sensing operation in microstructured optical fiber-based surface plasmon resonance (SPR) sensors for high refractive index (RI) detection, we propose a special hollow fiber-based SPR sensor that comprises an opening on its body side and a thin gold layer coated on its outer surface. The analyte is able to flow into the hollow core through the side-opening to form new fiber core, with the Gaussian-like mode propagating in it. We investigate the sensing performance of the proposed sensor in a higher RI range of 1.48 to 1.54 at two feasible schemes: one is to only fill the fiber core with analyte (Scheme A), and the other is to directly immerse the sensor in the analyte (Scheme B). The results demonstrate that our sensor exhibits higher wavelength sensitivity at Scheme A with a maximum wavelength sensitivity of 12,320 nm/RIU, while a greater amplitude sensitivity was found at Scheme B with a maximum amplitude sensitivity of 1146 RIU

Indexed as

optical fibersoptical fiber sensorsoptical sensorsrefractive indexsurface plasmon resonance

Identifiers

PMID39001114
PMCPMC11244053

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.