Evidence map›Paper›PMID 35032037›Full record

ArticleJournal of medical virology2022

N protein-based ultrasensitive SARS-CoV-2 antibody detection in seconds via 3D nanoprinted, microarchitected array electrodes.

Md Azahar Ali, Chunshan Hu, Fei Zhang, Sanjida Jahan, Bin Yuan, Mohammad S Saleh, Shou-Jiang Gao, Rahul Panat

Abstract read
In one paragraph

Article in Journal of medical virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  11. Two-Dimensional (2D) materials in the detection of SARS-CoV-2.Microchemical journal : devoted to the application of microtechniques in all branches of science · 2023
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  16. A Novel Peptide-Based Detection of SARS-CoV-2 Antibodies.Biomimetics (Basel, Switzerland) · 2023
    Article
  17. Article
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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

8 authors.

Md Azahar AliDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Chunshan HuDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Fei ZhangDepartment of Microbiology and Molecular Genetics, Cancer Virology Program, UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0002-1316-523X
Sanjida JahanDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Bin YuanDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Mohammad S SalehDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Shou-Jiang GaoDepartment of Microbiology and Molecular Genetics, Cancer Virology Program, UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.ORCID https://orcid.org/0000-0001-6194-1742
Rahul PanatDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.ORCID http://orcid.org/0000-0002-4824-2936

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid detection of antibodies to SARS-CoV-2 is critical for COVID-19 diagnostics, epidemiological research, and studies related to vaccine evaluation. It is known that the nucleocapsid (N) is the most abundant protein of SARS-CoV-2 and can serve as an excellent biomarker due to its strong immunogenicity. This paper reports a rapid and ultrasensitive 3D biosensor for quantification of COVID-19 antibodies in seconds via electrochemical transduction. This sensor consists of an array of three-dimensional micro-length-scale electrode architecture that is fabricated by aerosol jet 3D printing, which is an additive manufacturing technique. The micropillar array is coated with N proteins via an intermediate layer of nano-graphene and is integrated into a microfluidic channel to complete an electrochemical cell that uses antibody-antigen interaction to detect the antibodies to the N protein. Due to the structural innovation in the electrode geometry, the sensing is achieved in seconds, and the sensor shows an excellent limit of detection of 13 fm and an optimal detection range of 100 fm to 1 nm. Furthermore, the sensor can be regenerated at least 10 times, which reduces the cost per test. This work provides a powerful platform for rapid screening of antibodies to SARS-CoV-2 after infection or vaccination.

Indexed as

Biosensing TechniquesCOVID-19Antibodies, ViralElectrodesHumansSARS-CoV-2Spike Glycoprotein, CoronavirusAntibodies, ViralSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-23D printing and functional sensorsantibodyN proteinSARS-CoV-2

Identifiers

PMID35032037
PMCPMC9015463

What OpenQuestion holds

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LicenceCC BY-NC
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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.