Evidence map›Paper›PMID 36432278›Full record

ArticleNanomaterials (Basel, Switzerland)2022

Optimization Temperature Programming of Microwave-Assisted Synthesis ZnO Nanoneedle Arrays for Optical and Surface-Enhanced Raman Scattering Applications.

Tung-Hao Chang, Yu-Cheng Chang, Chung-I Lee, Ying-Ru Lin, Fu-Hsiang Ko

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. Rapid Microwave-Assisted Synthesis of ZnInNanomaterials (Basel, Switzerland) · 2023
    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

5 authors.

Tung-Hao ChangDepartment of Radiation Oncology, Changhua Christian Hospital, Changhua 50006, Taiwan.
Yu-Cheng ChangDepartment of Materials Science and Engineering, Feng Chia University, Taichung 40724, Taiwan.ORCID 0000-0001-5474-680X
Chung-I LeeDepartment of Materials Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
Ying-Ru LinDepartment of Materials Science and Engineering, Feng Chia University, Taichung 40724, Taiwan.
Fu-Hsiang KoDepartment of Materials Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.

Funding

Ministry of Science and Technology of Taiwan MOST 109-2221-E-035-041-MY3
6 · The paper itself

Abstract

This study used a rapid and simple microwave-assisted synthesis method to grow ZnO nanoneedle arrays on the silicon substrate with the ZnO seed layer. The effects of reaction temperature and time on the lengths of ZnO nanoneedle arrays were investigated. The appropriate temperature programming step can grow the longer ZnO nanoneedle arrays at the same reaction time (25 min), which is 2.08 times higher than without the temperature programming step. The geometry of the ZnO nanoneedle arrays features a gradual decrease from the Si substrate to the surface, which provides an excellent progressive refractive index between Si and air, resulting in excellent antireflection properties over an extensive wavelength range. In addition, the ZnO nanoneedle arrays exhibit a suitable structure for uniform deposition of Ag nanoparticles, which can provide three-dimensional hot spots and surface active sites, resulting in higher surface-enhanced Raman scattering (SERS) enhancement, high uniformity, high reusability, and low detection limit for R6G molecule. The ZnO/Ag nanoneedle arrays can also reveal a superior SERS-active substrate detecting amoxicillin (10

Indexed as

antireflectionmicrowave-assisted synthesissurface-enhanced Raman scatteringtemperature programmingZnO nanoneedle arrays

Identifiers

PMID36432278
PMCPMC9696083

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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.