Evidence map›Paper›PMID 36364559›Full record

ArticleNanomaterials (Basel, Switzerland)2022

Multi-Effect Enhanced Raman Scattering Based on Au/ZnO Nanorods Structures.

Yi Lin, Jun Zhang, Yalan Zhang, Sai Yan, Feng Nan, Yanlong Yu

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Yi LinFaculty of Mathematics and Physics, Huaiyin Institute of Technology, Huai'an 223003, China.
Jun ZhangFaculty of Mathematics and Physics, Huaiyin Institute of Technology, Huai'an 223003, China.
Yalan ZhangFaculty of Mathematics and Physics, Huaiyin Institute of Technology, Huai'an 223003, China.
Sai YanFaculty of Mathematics and Physics, Huaiyin Institute of Technology, Huai'an 223003, China.
Feng NanFaculty of Mathematics and Physics, Huaiyin Institute of Technology, Huai'an 223003, China.
Yanlong YuFaculty of Mathematics and Physics, Huaiyin Institute of Technology, Huai'an 223003, China.

Funding

National Natural Science Foundation of China 11604114
6 · The paper itself

Abstract

Surface-enhanced Raman scattering (SERS) was considered a potential spectroscopic technique for applications of molecular detection and has drawn great research interest during the past decade. So far, fabrications of cost-effective SERS substrates with high sensitivity and stability and the corresponding enhanced mechanisms are always among the list of research topics, although great progress has been made. In this work, Au particles were decorated on Si, ZnO film and ZnO nanorod arrays simultaneously by an economical method of ion sputtering, generating three kinds of SERS substrates for R6G detection. The morphology difference of Au particles on different samples and the consequent influence on Raman scattering were studied. The experiment results exhibited that substrates with Au particles decorated on ZnO nanorods had the highest Raman enhancement factor. Furthermore, multi-effect enhanced mechanisms summarized as localized surface plasmon resonance (LSPR) filed coupling, electron transferring induced by LSPR of Au particles and whispering gallery mode (WGM) effect of the ZnO cavity were presented. This work provides a convenient and efficient method of fabricating SERS substrates and indicates that such proper metal/semiconductor composite structures are promising candidates for SERS applications.

Indexed as

Au nanoparticleslocalized surface plasmon resonancenano-composite structuresurface-enhanced Raman scatteringwhispering gallery mode resonanceZnO nanorod arrays

Identifiers

PMID36364559
PMCPMC9655003

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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.