Evidence map›Paper›PMID 28101853›Full record

ArticleNanoscale research letters2017

Investigation on the Effects of the Formation of a Silver "Flower-Like Structure" on Graphene.

Rozalina Zakaria, Siti Fatimah Az Zahra Yusoff, Kok Chung Law, Chin Seong Lim, Harith Ahmad

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Rozalina ZakariaPhotonics Research Centre, University of Malaya, 50603, Kuala Lumpur, Malaysia. rozalina@um.edu.my.ORCID http://orcid.org/0000-0002-6445-3039
Siti Fatimah Az Zahra YusoffPhotonics Research Centre, University of Malaya, 50603, Kuala Lumpur, Malaysia.
Kok Chung LawDepartment of Mechanical, Materials and Manufacturing Engineering, The University of Nottingham Malaysia Campus, Jalan Broga, Semenyih, 43500, Selangor Darul Ehsan, Malaysia.
Chin Seong LimDepartment of Mechanical, Materials and Manufacturing Engineering, The University of Nottingham Malaysia Campus, Jalan Broga, Semenyih, 43500, Selangor Darul Ehsan, Malaysia.
Harith AhmadPhotonics Research Centre, University of Malaya, 50603, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this report, we experimentally investigate the formation of "flower-like silver structures" on graphene. Using an electrochemical deposition technique with deposition times of 2.5 and 5 min, agglomerations of silver nanoparticles (AgNPs) were deposited on the graphene surfaces, causing the formation of "flower-like structures" on the graphene substrate. Localized surface plasmon resonance (LSPR) was observed in the interaction between the structures and the graphene substrate. The morphology of the samples was observed using a field-emission scanning electron microscope (FESEM) and Raman spectroscopy. Thereafter, the potential of the flower-like Ag microstructures on graphene for use in Raman spectroscopic applications was examined. The signal showed a highest intensity value after a deposition time of 5 min, as portrayed by the intense local electromagnetic fields. For a better understanding, the CST Microwave Studio software, based on the finite element method (FEM), was applied to simulate the absorption characteristics of the structures on the graphene substrate. The absorption peak was redshifted due to the increment of the nanoparticle size.

Indexed as

CST microwave studioElectrochemical deposition techniqueSilver nanoparticlesSurface plasmon resonance

Identifiers

PMID28101853
PMCPMC5241598

What OpenQuestion holds

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LicenceCC BY
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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.