Evidence map›Paper›PMID 35724556›Full record

ArticleTalanta2022

Accurate identification of SARS-CoV-2 variant delta using graphene/CRISPR-dCas9 electrochemical biosensor.

Bin Yang, Xiaowei Zeng, Jin Zhang, Jilie Kong, Xueen Fang

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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.

Bin YangDepartment of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai, 200433, PR China.
Xiaowei ZengDepartment of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai, 200433, PR China.
Jin ZhangQingdao International Travel Healthcare Center, Qingdao Customs, Qingdao, 266071, PR China.
Jilie KongDepartment of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai, 200433, PR China. Electronic address: jlkong@fudan.edu.cn.
Xueen FangDepartment of Chemistry and Institutes of Biomedical Sciences, Fudan University, Shanghai, 200433, PR China. Electronic address: fxech@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delta (B.1.617.2), a highly infectious variant of SARS-CoV-2, has been sweeping the world, and threatening the safety of human life seriously. It is urgent to develop a highly selective and sensitive assay to accurately identify the SARS-CoV-2 variant Delta. In this work, we constructed a graphene/CRISPR-dCas9 electrochemical biosensor to accurately identify SARS-CoV-2 variant Delta, where the signal was further amplified by embedded electrochemical probe [Ru(phen)

Indexed as

Biosensing TechniquesCOVID-19GraphiteClustered Regularly Interspaced Short Palindromic RepeatsHumansReproducibility of ResultsSARS-CoV-2GraphiteAccurate identificationCRISPR-dCas9Electrochemical biosensorSARS-CoV-2Variant delta

Identifiers

PMID35724556
PMCPMC9197783

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.