Evidence map›Paper›PMID 35093776›Full record

ArticleTalanta2022

Visualization of copper nanoclusters for SARS-CoV-2 Delta variant detection based on rational primers design.

Zaihui Du, Longjiao Zhu, Wentao Xu

Abstract read
In one paragraph

Article in Talanta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Review
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

3 authors.

Zaihui DuKey Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety) (MOA), College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China.
Longjiao ZhuKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health (Institute of Nutrition and Health), China Agricultural University, Beijing, 100083, China.
Wentao XuKey Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety) (MOA), College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China; Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health (Institute of Nutrition and Health), China Agricultural University, Beijing, 100083, China. Electronic address: xuwentao@cau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, based on the design of rational primers and copper nanoclusters (CuNCs), we present a method for the accurate detection of the SARS-CoV-2 Delta variant, which is capable of distinguishing the Delta variant with its single nucleotide polymorphism from the 'wild type' coronavirus (NC_045512.2), and realizing visualization signal out. Specifically, we show that dual priming oligonucleotide (DPO) primers and AT primers can be used to distinguish between wild types and mutations of this virus by polymerase chain reaction (PCR) analysis and that visualization can be achieved via the red fluorescence of CuNCs in ultraviolet radiation. Among the results, it was found that the R-1-down (DPO)-6I and F-1-30 AT, with the single nucleotide deletion site designed at the 3' end of the downstream primer, showed the best specificity towards the Delta variant. Moreover, the use of AT primers increased the AT contents of the PCR products, thus meeting the template requirements generated by the CuNCs. It was also found that the AT primers could assist with improving detection specificity. Finally, we demonstrate that the visualization of the CuNCs-based detection assay exhibited a linear relationship in 0.5 pg μL

Indexed as

CopperCOVID-19HumansSARS-CoV-2Ultraviolet RaysCopperCopper nanoclusterDelta variantDesign of rational primersSARS-CoV-2

Identifiers

PMID35093776
PMCPMC8786405

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.