Evidence map›Paper›PMID 35539693›Full record

ArticleAggregate (Hoboken, N.J.)2022

An AIEgen/graphene oxide nanocomposite (AIEgen@GO)-based two-stage "turn-on" nucleic acid biosensor for rapid detection of SARS-CoV-2 viral sequence.

Qin Zhang, Bohan Yin, Jianhua Hao, Linjie Ma, Yingying Huang, Xueying Shao, Chuanqi Li, Zhiqin Chu, Changqing Yi, Siu Hong Dexter Wong and 1 more

Open access · goldAbstract read
In one paragraph

Article in Aggregate (Hoboken, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.3field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 53 citations in OpenAlex.

  1. Review
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  12. One-Pot Synthesis of Enzyme and Antibody/CaHPOSensors (Basel, Switzerland) · 2023
    Article
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  15. Article
  16. Detection of PbBiosensors · 2022
    Article
  17. Article
  18. Review
  19. 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

11 authors at 3 institutions in 2 countries.

Qin ZhangDepartment of Biomedical Engineering The Hong Kong Polytechnic University Hong Kong China.
Bohan YinDepartment of Biomedical Engineering The Hong Kong Polytechnic University Hong Kong China.
Jianhua HaoDepartment of Applied Physics The Hong Kong Polytechnic University Hong Kong China.
Linjie MaDepartment of Electrical and Electronic Engineering Joint Appointment with School of Biomedical Sciences The University of Hong Kong Hong Kong China.
Yingying HuangDepartment of Biomedical Engineering The Hong Kong Polytechnic University Hong Kong China.
Xueying ShaoDepartment of Electrical and Electronic Engineering Joint Appointment with School of Biomedical Sciences The University of Hong Kong Hong Kong China.
Chuanqi LiDepartment of Biomedical Engineering The Hong Kong Polytechnic University Hong Kong China.
Zhiqin ChuDepartment of Electrical and Electronic Engineering Joint Appointment with School of Biomedical Sciences The University of Hong Kong Hong Kong China.
Changqing YiKey Laboratory of Sensing Technology and Biomedical Instruments (Guangdong Province) School of Biomedical Engineering Sun Yat-Sen University Guangzhou PR China.
Siu Hong Dexter WongDepartment of Biomedical Engineering The Hong Kong Polytechnic University Hong Kong China.
Mo YangDepartment of Biomedical Engineering The Hong Kong Polytechnic University Hong Kong China.
Hong Kong Polytechnic University · HKUniversity of Hong Kong · HKSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic has posed significant challenges in early viral diagnosis. Hence, it is urgently desirable to develop a rapid, inexpensive, and sensitive method to aid point-of-care SARS-CoV-2 detection. In this work, we report a highly sequence-specific biosensor based on nanocomposites with aggregation-induced emission luminogens (AIEgen)-labeled oligonucleotide probes on graphene oxide nanosheets (AIEgen@GO) for one step-detection of SARS-CoV-2-specific nucleic acid sequences (

Indexed as

aggregation‐induced emission (AIE) luminogengraphene oxideSARS‐CoV‐2 detection

Identifiers

PMID35539693
PMCPMC9073974
OpenAlexW4223445659

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.