Evidence map›Paper›PMID 34832771›Full record

ArticleMicromachines2021

Research on Fano Resonance Sensing Characteristics Based on Racetrack Resonant Cavity.

Yaxin Yu, Jiangong Cui, Guochang Liu, Rongyu Zhao, Min Zhu, Guojun Zhang, Wendong Zhang

Abstract read
In one paragraph

Article in Micromachines, 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.

Yaxin YuState Key Laboratory of Dynamic Testing Technology, North University of China, Taiyuan 030051, China.
Jiangong CuiState Key Laboratory of Dynamic Testing Technology, North University of China, Taiyuan 030051, China.ORCID 0000-0001-6572-2045
Guochang LiuState Key Laboratory of Dynamic Testing Technology, North University of China, Taiyuan 030051, China.ORCID 0000-0003-2551-5388
Rongyu ZhaoState Key Laboratory of Dynamic Testing Technology, North University of China, Taiyuan 030051, China.
Min ZhuState Key Laboratory of Dynamic Testing Technology, North University of China, Taiyuan 030051, China.
Guojun ZhangState Key Laboratory of Dynamic Testing Technology, North University of China, Taiyuan 030051, China.
Wendong ZhangState Key Laboratory of Dynamic Testing Technology, North University of China, Taiyuan 030051, China.ORCID 0000-0003-1762-9246

Funding

National Key Research and Development Project No.2019YFC0119800National Natural Science Foundation of China No.51875535National Natural Sciene Foundation of China as Natioal Major Scientific Instruments Development Project No. 61927807
6 · The paper itself

Abstract

To reduce the loss of the metal-insulator-metal waveguide structure in the near-infrared region, a plasmonic nanosensor structure based on a racetrack resonant cavity is proposed herein. Through finite element simulation, the transmission spectra of the sensor under different size parameters were analyzed, and its influence on the sensing characteristics of the system was examined. The analysis results show that the structure can excite the double Fano resonance, which has a distinctive dependence on the size parameters of the sensor. The position and line shape of the resonance peak can be adjusted by changing the key parameters. In addition, the sensor has a higher sensitivity, which can reach 1503.7 nm/RIU when being used in refractive index sensing; the figure of merit is 26.8, and it can reach 0.75 nm/°C when it is used in temperature sensing. This structure can be used in optical integrated circuits, especially high-sensitivity nanosensors.

Indexed as

Fano resonancemetal-insulator-metalracetrack resonant cavityrefractive index sensingtemperature sensing

Identifiers

PMID34832771
PMCPMC8618553

What OpenQuestion holds

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LicenceCC BY
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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.