Evidence map›Paper›PMID 36772761›Full record

ArticleSensors (Basel, Switzerland)2023

Sensitivity Enhancement of 2D Material-Based Surface Plasmon Resonance Sensor with an Al-Ni Bimetallic Structure.

Miaosen Hu, Min Li, Ming-Yu Li, Xiaoyan Wen, Shuo Deng, Sisi Liu, Haifei Lu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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
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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.

Miaosen HuSchool of Science, Wuhan University of Technology, Wuhan 430070, China.
Min LiSchool of Science, Wuhan University of Technology, Wuhan 430070, China.
Ming-Yu LiSchool of Science, Wuhan University of Technology, Wuhan 430070, China.ORCID 0000-0003-4812-8604
Xiaoyan WenSchool of Science, Wuhan University of Technology, Wuhan 430070, China.
Shuo DengSchool of Science, Wuhan University of Technology, Wuhan 430070, China.
Sisi LiuSchool of Science, Wuhan University of Technology, Wuhan 430070, China.
Haifei LuSchool of Science, Wuhan University of Technology, Wuhan 430070, China.

Funding

the Fundamental Research Funds for the Central Universities WUT 202III063JC and 2020IB004the National Key R&D Program of China 2021YFF0603500the National Natural Science Foundation of China NSFC 11974266 and 62075174
6 · The paper itself

Abstract

In this paper, a variety of 2D materials on the surface plasmon resonance sensor based on Al-Ni bimetallic layer are compared. Simulation results indicate that lateral position shift, which is calculated according to the real and imaginary parts of the refractive index of material, can be used as an effective parameter to optimize the sensitivity. By using the parameters for optimizing the SPR structures, the results show that the multiple layer models of Al(40 nm)-Ni(22 nm)-black phosphorus (BP)(1 L) and Al(40 nm)-Ni(22 nm)-blue phosphorus (BlueP)/WS

Indexed as

2D materialsangular sensitivitylateral position shiftsurface plasmon resonance

Identifiers

PMID36772761
PMCPMC9921370

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.