Evidence map›Paper›PMID 38090064›Full record

ArticleRSC advances2023

Preparation of hydrophobic porous Au-Ag alloy nanoparticle arrays and their SERS properties.

Ming Kong, Yingyi Wu, Dandan Men, Qianqian Ding, Honghua Zhang

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2023. 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
0.2field-weighted citation impact, top 64% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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 at 2 institutions in 1 country.

Ming KongDepartment of Precision Manufacturing Engineering, Suzhou Vocational Institute of Industrial Technology Suzhou 215104 China.
Yingyi WuJiangxi Key Laboratory of Material Surface Engineering, School of Material and Energy, Jiangxi Science and Technology Normal University Nanchang 330013 China 15270008537@163.com.
Dandan MenJiangxi Key Laboratory of Material Surface Engineering, School of Material and Energy, Jiangxi Science and Technology Normal University Nanchang 330013 China 15270008537@163.com.ORCID https://orcid.org/0000-0001-8558-1040
Qianqian DingDepartment of Precision Manufacturing Engineering, Suzhou Vocational Institute of Industrial Technology Suzhou 215104 China.ORCID https://orcid.org/0000-0002-5200-2150
Honghua ZhangJiangxi Key Laboratory of Material Surface Engineering, School of Material and Energy, Jiangxi Science and Technology Normal University Nanchang 330013 China 15270008537@163.com.ORCID https://orcid.org/0000-0002-3388-1006
Jiangxi Science and Technology Normal University · CNSuzhou Vocational Institute of Industrial Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we prepared porous Au-Ag alloy nanoparticle arrays with hydrophobic surfaces through the polystyrene colloidal crystal template combined with the chemical etching method to realize rapid SERS detection for biochemical molecules. In the preparation process, the pore size of Au-Ag alloy nanoparticles could be adjusted by changing the deposition time of the Ag element. Furthermore, after depositing the Au film on the surface of the porous nanoparticle arrays, their surface changed from hydrophilic to hydrophobic. The hydrophobic surface can drive target molecules to locally aggregate. Meanwhile, the hydrophobic surface also possessed a large number of active "hot spots" due to the porous structure. For these reasons, the porous Au-Ag alloy nanoparticle arrays can enable rapid and trace SERS detection, which provide the material basis for the subsequent construction of the high-quality SERS substrate.

Identifiers

PMID38090064
PMCPMC10714672
OpenAlexW4389632796

What OpenQuestion holds

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LicenceCC BY-NC
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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.