Evidence map›Paper›PMID 36276922›Full record

ArticleSensors and actuators reports2022

Label-free electrochemical immunosensor for highly sensitive COVID-19 spike protein detection.

Qingfeng Zhai, Xichu Wang, Chuangang Hu, Lin Zhu, Chenhao Zhang, Liming Dai

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors and actuators reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

6 authors at 1 institution in 1 country.

Qingfeng ZhaiAustralian Carbon Materials Centre (A-CMC), School of Chemical Engineering, University of New South Wales, Sydney, New South Wales 2052, Australia.
Xichu WangAustralian Carbon Materials Centre (A-CMC), School of Chemical Engineering, University of New South Wales, Sydney, New South Wales 2052, Australia.
Chuangang HuAustralian Carbon Materials Centre (A-CMC), School of Chemical Engineering, University of New South Wales, Sydney, New South Wales 2052, Australia.
Lin ZhuAustralian Carbon Materials Centre (A-CMC), School of Chemical Engineering, University of New South Wales, Sydney, New South Wales 2052, Australia.
Chenhao ZhangAustralian Carbon Materials Centre (A-CMC), School of Chemical Engineering, University of New South Wales, Sydney, New South Wales 2052, Australia.
Liming DaiAustralian Carbon Materials Centre (A-CMC), School of Chemical Engineering, University of New South Wales, Sydney, New South Wales 2052, Australia.
UNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing coronavirus pandemic responsible for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has rapidly increased the rate of global death and infections due to variant mutations (such as Delta and Omicron). While specifically developed and approved vaccines can limit the spread of disease in a population and severity of resulting symptoms, none have been demonstrated to effectively prevent infection altogether. Thus, reliable early diagnosis of COVID-19 is critical to identify positive cases to help contain the outbreak. Herein we report a label-free electrochemical immunosensor for rapid diagnosis of COVID-19 by using nitrogen-doped holey graphene (N-HRGO) as a nanocarrier decorated with thionine (TH) molecules as electrochemical indicators. With the spike protein located on the surface of the COVID-19 particles as the model target, the as-prepared electrochemical immunosensor could detect the presence of the COVID-19 spike protein over a wide linear range (1 pg mL

Indexed as

Covid-19 spike proteinElectrochemical biosensorLabel-freeN-doped holey graphene

Identifiers

PMID36276922
PMCPMC9576265
OpenAlexW4306643552

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.