Evidence map›Paper›PMID 36328725›Full record

ArticleAnalytica chimica acta2022

One-click investigation of shape influence of silver nanostructures on SERS performance for sensitive detection of COVID-19.

Zehua Li, Yong Luo, Yongchao Song, Qinglin Zhu, Tailin Xu, Xueji Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Analytica chimica acta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Zehua LiResearch Center for Bioengineering and Sensing Technology, University of Science and Technology Beijing, Beijing, 100083, PR China.
Yong LuoSchool of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, 518060, PR China; Research Center for Bioengineering and Sensing Technology, University of Science and Technology Beijing, Beijing, 100083, PR China.
Yongchao SongResearch Center for Intelligent and Wearable Technology, College of Textiles and Clothing, State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University, Qingdao, 266071, PR China.
Qinglin ZhuResearch Center for Bioengineering and Sensing Technology, University of Science and Technology Beijing, Beijing, 100083, PR China.
Tailin XuSchool of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, 518060, PR China; Research Center for Bioengineering and Sensing Technology, University of Science and Technology Beijing, Beijing, 100083, PR China. Electronic address: xutailin@szu.edu.cn.
Xueji ZhangSchool of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, 518060, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sensitive and accurate detection of SARS-CoV-2 methods is meaningful for preventing and controlling the novel coronavirus. The detection techniques supporting portable, onsite, in-time, and online data transfer are urgently needed. Here, we one-click investigated the shape influence of silver nanostructures on SERS performance and their applications in the sensitive detection of SARS-CoV-2. Such investigation is achieved by adjusting multiple parameters (concentration, potential, and time) on the integrated electrochemical array, thus various morphologies (e.g., bulk, dendritic, globular, and spiky) can be one-click synthesized. The SERS performance results indicated that dendritic nanostructures are superior to the other three with an order of magnitude signal enhancement. Such on-electrode dendritic silver substrate also represents high sensitivity (LOD = 7.42 × 10

Indexed as

COVID-19Metal NanoparticlesNanostructuresHumansReproducibility of ResultsRNA, ViralSARS-CoV-2SilverSpectrum Analysis, RamanRNA, ViralSilverAg nanostructureCOVID-19Microdroplets arrayMini-pillar platformSERS

Identifiers

PMID36328725
PMCPMC9576320

What OpenQuestion holds

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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.