Evidence map›Paper›PMID 35910149›Full record

ArticleACS omega2022

Silver Nanopillar Arrayed Thin Films with Highly Surface-Enhanced Raman Scattering for Ultrasensitive Detection.

Weiwei Zhang, Xiaomin Zhu, Zhanghua Chen, Vladimir I Belotelov, Yujun Song

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 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
0.6field-weighted citation impact, top 41% of its field
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, 10 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 4 institutions in 2 countries.

Weiwei ZhangCenter for Modern Physics Technology, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, 30 Xueyuan Road, Haidian District, Beijing 100083, China.
Xiaomin ZhuCenter for Modern Physics Technology, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, 30 Xueyuan Road, Haidian District, Beijing 100083, China.
Zhanghua ChenCenter for Modern Physics Technology, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, 30 Xueyuan Road, Haidian District, Beijing 100083, China.
Vladimir I BelotelovVernadsky Crimean Federal University, Vernadskogo av. 4, Simferopol 295007, Russia.ORCID https://orcid.org/0000-0002-6939-4728
Yujun SongCenter for Modern Physics Technology, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, 30 Xueyuan Road, Haidian District, Beijing 100083, China.ORCID https://orcid.org/0000-0003-2474-084X
University of Science and Technology Beijing · CNNational University of Science and Technology · RUShunde Polytechnic · CNZhengzhou University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface-enhanced Raman scattering (SERS) technique based on surface plasmon resonance has been considerably investigated in recent years due to its superior sensitivity in the detection of organic or biological molecules at trace levels. However, most research usually focuses on artificial architectures as SERS substrates that always have a complex and expensive micro-nanofabrication process. The high cost of masks for SERS substrates becomes a key obstacle for the widespread commercialization of SERS technology. In this paper, a biomimetic SERS substrate composed of silver-coated nanopillar arrays on the top of a cicada wing was advanced to overcome these challenges as both substrates and masks. Benefiting from the high near-field plasmon resonance coupling at the limited space among neighboring nanopillars, a dramatically increased SERS signal can be achieved using rhodamine 6G (R6G) as a model molecule. Encouragingly, the analytical enhancement factor of the order of more than 10

Identifiers

PMID35910149
PMCPMC9330273
OpenAlexW4285038510

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.