Evidence map›Paper›PMID 35744460›Full record

ArticleMicromachines2022

High-Property Refractive Index and Bio-Sensing Dual-Purpose Sensor Based on SPPs.

Shubin Yan, Pengwei Liu, Zhanbo Chen, Jilai Liu, Lifang Shen, Xiaoyu Zhang, Jiaming Cui, Tingsong Li, Yang Cui, Yifeng Ren

Abstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Shubin YanSchool of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.ORCID 0000-0002-7588-3616
Pengwei LiuSchool of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.ORCID 0000-0002-8600-4218
Zhanbo ChenSchool of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.
Jilai LiuSchool of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.
Lifang ShenSchool 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.
Jiaming 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.
Yang CuiSchool of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.
Yifeng RenSchool of Electrical and Control Engineering, North University of China, Taiyuan 030051, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A high-property plasma resonance-sensor structure consisting of two metal-insulator-metal (MIM) waveguides coupled with a transverse ladder-shaped nano-cavity (TLSNC) is designed based on surface plasmon polaritons. Its transmission characteristics are analyzed using multimode interference coupling mode theory (MICMT), and are simulated using finite element analysis (FEA). Meanwhile, the influence of different structural arguments on the performance of the structure is investigated. This study shows that the system presents four high-quality formants in the transmission spectrum. The highest sensitivity is 3000 nm/RIU with a high

Indexed as

biosensormetal-insulator-metalmultimode interference coupling mode theorysurface plasmon resonance

Identifiers

PMID35744460
PMCPMC9231242

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.