Evidence map›Paper›PMID 28050875›Full record

ArticleNanoscale research letters2017

Infrared Plasmonic Refractive Index Sensor with Ultra-High Figure of Merit Based on the Optimized All-Metal Grating.

Ruifang Li, Dong Wu, Yumin Liu, Li Yu, Zhongyuan Yu, Han Ye

Abstract read
In one paragraph

Article in Nanoscale research letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

6 authors.

Ruifang LiState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, 100876, Beijing, China.
Dong WuState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, 100876, Beijing, China.
Yumin LiuState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, 100876, Beijing, China. microliuyumin@hotmail.com.
Li YuState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, 100876, Beijing, China.
Zhongyuan YuState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, 100876, Beijing, China.
Han YeState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, 100876, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A perfect ultra-narrow band infrared metamaterial absorber based on the all-metal-grating structure is proposed. The absorber presents a perfect absorption efficiency of over 98% with an ultra-narrow bandwidth of 0.66 nm at normal incidence. This high efficient absorption is contributed to the surface plasmon resonance. Moreover, the surface plasmon resonance-induced strong surface electric field enhancement is favorable for application in biosensing system. When operated as a plasmonic refractive index sensor, the ultra-narrow band absorber has a wavelength sensitivity 2400 nm/RIU and an ultra-high figure of merit 3640, which are much better than those of most reported similar plasmonic sensors. Besides, we also comprehensively investigate the influences of structural parameters on the sensing properties. Due to the simplicity of its geometry structure and its easiness to be fabricated, the proposed high figure of merit and sensitivity sensor indicates a competitive candidate for applications in sensing or detecting fields.

Indexed as

AbsorptionMetamaterialsOptical sensing and sensorsSurface plasmons

Identifiers

PMID28050875
PMCPMC5214594

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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.