Evidence map›Paper›PMID 39382589›Full record

ArticleMikrochimica acta2024

Au@Pt nanoparticles-based signal-enhanced lateral flow immunoassay for ultrasensitive naked-eye detection of SARS-CoV-2.

Xiang Li, Huiwen Li, Jin-Yue Zhu, Dong Yu, Tuerhongjiang Abulaiti, Jingbin Zeng, Cong-Ying Wen

Abstract read
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In one paragraph

Article in Mikrochimica acta, 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

7 authors.

Xiang LiCollege of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, PR China.
Huiwen LiCollege of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, PR China.
Jin-Yue ZhuCollege of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, PR China.
Dong YuCollege of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, PR China.
Tuerhongjiang AbulaitiPetrochina Urumqi Petrochemical Quality Inspection Center, Urumqi, 830019, PR China.
Jingbin ZengCollege of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, PR China.
Cong-Ying WenCollege of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, PR China. flcyxt@163.com.ORCID http://orcid.org/0000-0002-5471-7694

Funding

the Fundamental Research Funds for the Central Universities 22CX03033Athe National Natural Science Foundation of China 21876206the National Natural Science Foundation of China 22376218the Natural Scientific Foundation of Shandong ZR2020ZD13the Natural Scientific Foundation of Shandong ZR2022JQ07
6 · The paper itself

Abstract

With SARS-CoV-2 N protein as a model target, a signal-enhanced LFIA based on Au@Pt nanoparticles (NPs) as labels is proposed. This Au@Pt NPs combined the distinguished localized surface plasma resonance (LSPR) effect of Au NPs and the ultrahigh peroxidase-like catalytic activity of Pt NPs. Au@Pt NPs could trigger substrate chromogenic reaction, generating a color signal orders of magnitude darker than their intrinsic color. In the detection, after the coloration of the strips, 3,3',5,5'-tetramethylbenzidine (TMB) and H

Indexed as

COVID-19GoldLimit of DetectionMetal NanoparticlesPlatinumSARS-CoV-2BenzidinesColorimetryCoronavirus Nucleocapsid ProteinsHumansHydrogen PeroxideImmunoassayPhosphoproteins3,3',5,5'-tetramethylbenzidineBenzidinesCoronavirus Nucleocapsid ProteinsGoldHydrogen Peroxidenucleocapsid phosphoprotein, SARS-CoV-2PhosphoproteinsPlatinumAu@Pt NPsLFIASignal-enhancementTMBVisual detection

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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.