Evidence map›Paper›PMID 35934402›Full record

ArticleAnalytica chimica acta2022

Ultrasensitive SARS-CoV-2 diagnosis by CRISPR-based screen-printed carbon electrode.

Lina Wu, Xinjie Wang, Chengyuan Wu, Xizhong Cao, Taishan Tang, He Huang, Xingxu Huang

Open access · greenAbstract read
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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.9field-weighted citation impact, top 8% of its field
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

6 citing papers in PubMed, 34 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Lina WuSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, PR China; Zhejiang Laboratory, Hangzhou, 311100, PR China. Electronic address: wuln@njnu.edu.cn.
Xinjie WangShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, PR China.
Chengyuan WuSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, PR China.
Xizhong CaoAnimal, Plant and Food Inspection Center of Nanjing Customs District, Nanjing, 210023, PR China.
Taishan TangAnimal, Plant and Food Inspection Center of Nanjing Customs District, Nanjing, 210023, PR China.
He HuangSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, PR China; College of Pharmaceutical Science, Nanjing Tech University, Nanjing, 211816, PR China. Electronic address: huangh@njnu.edu.cn.
Xingxu HuangZhejiang Laboratory, Hangzhou, 311100, PR China. Electronic address: xingxuhuang@nju.edu.cn.
Nanjing Normal University · CNShanghai Customs College · CNAgricultural Genomics Institute at Shenzhen · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early and accurate diagnosis of SARS-CoV-2 was crucial for COVID-19 control and urgently required ultra-sensitive and rapid detection methods. CRISPR-based detection systems have great potential for rapid SARS-CoV-2 detection, but detecting ultra-low viral loads remains technically challenging. Here, we report an ultrasensitive CRISPR/Cas12a-based electrochemical detection system with an electrochemical biosensor, dubbed CRISPR-SPCE, in which the CRISPR ssDNA reporter was immobilized onto a screen-printed carbon electrode. Electrochemical signals are detected due to CRISPR cleavage, giving enhanced detection sensitivity. CRISPR-SPCE enables ultrasensitive SARS-CoV-2 detection, reaching as few as 0.27 copies μL

Indexed as

Biosensing TechniquesCOVID-19CarbonCOVID-19 TestingElectrodesHumansSARS-CoV-2Sensitivity and SpecificityCarbonCeO(2) nanorodsCRISPR/Cas12aDetectionSARS-CoV-2Screen-printed carbon electrode

Identifiers

PMID35934402
PMCPMC9249825
OpenAlexW4283769670

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.