Evidence map›Paper›PMID 39633674›Full record

ArticleNanophotonics (Berlin, Germany)2024

Micro-nano hierarchical urchin-like ZnO/Ag hollow sphere for SERS detection and photodegradation of antibiotics.

Yang Jiao, Yuanyuan Pan, Moru Yang, Zhen Li, Jing Yu, Rong Fu, Baoyuan Man, Chao Zhang, Xiaofei Zhao

Abstract read
In one paragraph

Article in Nanophotonics (Berlin, Germany), 2024. 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
–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

2 citing papers in PubMed.

  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

9 authors.

Yang JiaoSchool of Physics and Electronics, Shandong Normal University, Jinan 250014, China.
Yuanyuan PanSchool of Physics and Electronics, Shandong Normal University, Jinan 250014, China.
Moru YangSchool of Physics and Electronics, Shandong Normal University, Jinan 250014, China.
Zhen LiSchool of Physics and Electronics, Shandong Normal University, Jinan 250014, China.ORCID https://orcid.org/0000-0002-6820-4187
Jing YuSchool of Physics and Electronics, Shandong Normal University, Jinan 250014, China.ORCID https://orcid.org/0000-0003-2289-0748
Rong FuSchool of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng 252000, China.
Baoyuan ManSchool of Physics and Electronics, Shandong Normal University, Jinan 250014, China.
Chao ZhangSchool of Physics and Electronics, Shandong Normal University, Jinan 250014, China.ORCID https://orcid.org/0000-0002-3295-8980
Xiaofei ZhaoSchool of Physics and Electronics, Shandong Normal University, Jinan 250014, China.ORCID https://orcid.org/0000-0002-3714-9621

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hollow urchin-like substrates have been widely interested in the field of surface-enhanced Raman scattering (SERS) and photocatalysis. However, most reported studies are simple nanoscale urchin-like substrate with limited light trapping range and complicated preparation process. In this paper, a simple and effective controllable synthesis strategy based on micro-nano hierarchical urchin-like ZnO/Ag hollow spheres was prepared. Compared with the 2D structure and solid spheres, the 3D urchin-like ZnO/Ag hollow sphere has higher laser utilization and more exposed specific surface area due to its special hollow structure, which resulted in excellent SERS and photocatalytic performance, and successfully realize the detection and photodegradation of antibiotics. The limited of detection of metronidazole can reach as low as 10

Indexed as

3D ZnO/Ag hollow sphereanti-bioticsphotodegradationplasmonicsurface-enhanced Raman scattering

Identifiers

PMID39633674
PMCPMC11501311

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.