Evidence map›Paper›PMID 34209414›Full record

ArticleNanomaterials (Basel, Switzerland)2021

Au@Ag Dendritic Nanoforests for Surface-Enhanced Raman Scattering Sensing.

Hung Ji Huang, Ming-Hua Shiao, Yang-Wei Lin, Bei-Ju Lin, James Su, Yung-Sheng Lin, Han-Wei Chang

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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.

Hung Ji HuangTaiwan Instrument Research Institute, National Applied Research Laboratories, Hsinchu 300092, Taiwan.ORCID 0000-0003-3753-0067
Ming-Hua ShiaoTaiwan Instrument Research Institute, National Applied Research Laboratories, Hsinchu 300092, Taiwan.
Yang-Wei LinDepartment of Chemistry, National Changhua University of Education, Changhua 500207, Taiwan.ORCID 0000-0001-8667-0811
Bei-Ju LinDepartment of Chemical Engineering, National United University, Miaoli 360001, Taiwan.
James SuTaiwan Instrument Research Institute, National Applied Research Laboratories, Hsinchu 300092, Taiwan.
Yung-Sheng LinDepartment of Chemical Engineering, National United University, Miaoli 360001, Taiwan.ORCID 0000-0002-9522-1812
Han-Wei ChangDepartment of Chemical Engineering, National United University, Miaoli 360001, Taiwan.ORCID 0000-0003-3457-6975

Funding

Ministry of Science and Technology, Taiwan 108-2221-E-492-018-MY2Ministry of Science and Technology, Taiwan 109-2221-E-239-018Ministry of Science and Technology, Taiwan 109-2622-E-492-021
6 · The paper itself

Abstract

The effects of Au cores in Ag shells in enhancing surface-enhanced Raman scattering (SERS) were evaluated with samples of various Au/Ag ratios. High-density Ag shell/Au core dendritic nanoforests (Au@Ag-DNFs) on silicon (Au@Ag-DNFs/Si) were synthesized using the fluoride-assisted Galvanic replacement reaction method. The synthesized Au@Ag-DNFs/Si samples were characterized using scanning electron microscopy, energy-dispersive X-ray spectroscopy, reflection spectroscopy, X-ray diffraction, and Raman spectroscopy. The ultraviolet-visible extinction spectrum exhibited increased extinction induced by the addition of Ag when creating the metal DNFs layer. The pure Ag DNFs exhibited high optical extinction of visible light, but low SERS response compared with Au@Ag DNFs. The Au core (with high refractive index real part) in Au@Ag DNFs maintained a long-leaf structure that focused the illumination light, resulting in the apparent SERS enhancement of the Ag coverage.

Indexed as

Au@Ag dendritic nanoforestsfluoride-assisted Galvanic replacement reactionsurface-enhanced Raman scatteringsurface plasmons

Identifiers

PMID34209414
PMCPMC8307875

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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.