Evidence map›Paper›PMID 36365895›Full record

ArticleSensors (Basel, Switzerland)2022

Refractive Index and Alcohol-Concentration Sensor Based on Fano Phenomenon.

Qiang Wang, Shubin Yan, Jilai Liu, Xiaoyu Zhang, Lifang Shen, Pengwei Liu, Yang Cui, Tingsong Li, Yifeng Ren

Abstract read
PubMed Full text at PMC Publisher
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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Qiang WangSchool of Electrical and Control Engineering, North University of China, Taiyuan 030051, China.
Shubin YanSchool of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.ORCID 0000-0002-7588-3616
Jilai LiuSchool of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.
Xiaoyu ZhangSchool of Electrical and Control Engineering, North University of China, Taiyuan 030051, China.
Lifang ShenSchool of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.
Pengwei LiuSchool of Electrical and Control Engineering, North University of China, Taiyuan 030051, China.
Yang CuiSchool of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.
Tingsong LiSchool of Electrical and Control Engineering, North University of China, Taiyuan 030051, China.
Yifeng RenSchool of Electrical and Control Engineering, North University of China, Taiyuan 030051, China.

Funding

Department of Water Resources of Zhejiang Province under Grant No.RA2101National Natural Science Foundation of China under Grant No. 61875250National Natural Science Foundation of China under Grant No. 61975189R&D Projects of Shanxi Province under Grant No.01804D131038R&D Projects of Shanxi Province under Grant No. 201903D421032Research and Development Project of Zhejiang Province under Grant No. 2021C03019Scientific research foundation of Zhejiang University of Water Resources and Electric Power un-der Grant No. xky2022032Zhejiang Provincial Natural Science Foundation of China under Grant No.LD21F050001Zhejiang Provincial Natural Science Foundation of China under Grant No.Y21F040001
6 · The paper itself

Abstract

A novel nano-refractive index sensor based on the Fano resonance phenomenon is proposed in this paper. The sensor consists of the metal-insulator-metal (MIM) waveguide and a V-ring cavity with a groove (VRCG). We analyzed the performance of the nanoscale sensor using the finite element method. The simulation results show that the asymmetry of the geometric structure itself is the main factor leading to Fano resonance splitting. In Fano splitting mode, the Fano bandwidth of the system can be significantly reduced when the sensor sensitivity is slightly reduced, so that the figure of merit (FOM) of the sensor can be substantially improved. Based on the above advantages, the sensor's sensitivity in this paper is as high as 2765 nm/RIU, FOM = 50.28. In addition, we further applied the sensor to alcohol concentration detection. The effect is good, and the sensitivity achieves about 150. This type of sensor has a bright future in the precision measurement of solution concentrations.

Indexed as

concentration detectionFano resonanceresonance splittingsensitivity

Identifiers

PMID36365895
PMCPMC9656995

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.