Evidence map›Paper›PMID 35981973›Full record

ArticleJournal of medical virology2022

Ultrarapid and ultrasensitive detection of SARS-CoV-2 antibodies in COVID-19 patients via a 3D-printed nanomaterial-based biosensing platform.

Md Azahar Ali, George Fei Zhang, Chunshan Hu, Bin Yuan, Sanjida Jahan, Georgios D Kitsios, Alison Morris, Shou-Jiang Gao, Rahul Panat

Open access · hybridAbstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 26 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

9 authors at 3 institutions in 1 country.

Md Azahar AliDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
George Fei ZhangCancer Virology Program, UPMC Hillman Cancer Center and Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Chunshan HuDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Bin YuanDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Sanjida JahanDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Georgios D KitsiosDepartment of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Alison MorrisDepartment of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Shou-Jiang GaoCancer Virology Program, UPMC Hillman Cancer Center and Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-6194-1742
Rahul PanatDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-4824-2936
Carnegie Mellon University · USUniversity of Pittsburgh · USUPMC Hillman Cancer Center · US

Funding

Customizable, Ultra-high Density Optic Fiber-paired Multielectrode Array by 3D Nanoparticle PrintingRF1NS110483 · NINDS · CARNEGIE-MELLON UNIVERSITY · PI PANAT, RAHUL · 2019 to 2019
$1.9M
NIH HHSNINDS NIH HHS RF1 NS110483
6 · The paper itself

Abstract

Rapid detection of antibodies during infection and after vaccination is critical for the control of infectious outbreaks, understanding immune response, and evaluating vaccine efficacy. In this manuscript, we evaluate a simple ultrarapid test for SARS-CoV-2 antibodies in COVID-19 patients, which gives quantitative results (i.e., antibody concentration) in 10-12 s using a previously reported nanomaterial-based three-dimensional (3D)-printed biosensing platform. This platform consists of a micropillar array electrode fabricated via 3D printing of aerosolized gold nanoparticles and coated with nanoflakes of graphene and specific SARS-CoV-2 antigens, including spike S1, S1 receptor-binding domain (RBD) and nucleocapsid (N). The sensor works on the principle of electrochemical transduction, where the change of sensor impedance is realized by the interactions between the viral proteins attached to the sensor electrode surface and the antibodies. The three sensors were used to test samples from 17 COVID-19 patients and 3 patients without COVID-19. Unlike other serological tests, the 3D sensors quantitatively detected antibodies at a concentration as low as picomole within 10-12 s in human plasma samples. We found that the studied COVID-19 patients had higher concentrations of antibodies to spike proteins (RBD and S1) than to the N protein. These results demonstrate the enormous potential of the rapid antibody test platform for understanding patients' immunity, disease epidemiology and vaccine efficacy, and facilitating the control and prevention of infectious epidemics.

Indexed as

Biosensing TechniquesCOVID-19GraphiteMetal NanoparticlesAntibodies, ViralGoldHumansPrinting, Three-DimensionalSARS-CoV-2Spike Glycoprotein, CoronavirusAntibodies, ViralGoldGraphiteSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-23D biosensoradditive manufacturingCOVID-19 antibodiesgraphene oxiderapid antibody detectionSARS-CoV-2

Identifiers

PMID35981973
PMCPMC9538259
OpenAlexW4292246828

What OpenQuestion holds

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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.