Evidence map›Paper›PMID 34499464›Full record

ArticleACS applied materials & interfaces2021

One-Step, Wash-free, Nanoparticle Clustering-Based Magnetic Particle Spectroscopy Bioassay Method for Detection of SARS-CoV-2 Spike and Nucleocapsid Proteins in the Liquid Phase.

Kai Wu, Vinit Kumar Chugh, Venkatramana D Krishna, Arturo di Girolamo, Yongqiang Andrew Wang, Renata Saha, Shuang Liang, Maxim C-J Cheeran, Jian-Ping Wang

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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.

Kai WuDepartment of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States.ORCID https://orcid.org/0000-0002-9444-6112
Vinit Kumar ChughDepartment of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States.ORCID https://orcid.org/0000-0001-7818-7811
Venkatramana D KrishnaDepartment of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota 55108, United States.ORCID https://orcid.org/0000-0002-1980-5525
Arturo di GirolamoDepartment of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Yongqiang Andrew WangOcean Nano Tech LLC, San Diego, California 92126, United States.
Renata SahaDepartment of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States.ORCID https://orcid.org/0000-0002-0389-0083
Shuang LiangDepartment of Chemical Engineering and Material Science, University of Minnesota, Minneapolis, Minnesota 55455, United States.ORCID https://orcid.org/0000-0003-1491-2839
Maxim C-J CheeranDepartment of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota 55108, United States.
Jian-Ping WangDepartment of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States.

Funding

A SARS-CoV-2 Breathalyzer for Direct Virus DetectionR42DE030832 · NIDCR · AEROSOL DEVICES, INC. · PI KEADY, PATRICIA BEA · 2021 to 2021
$254k
NIDCR NIH HHS R42 DE030832
6 · The paper itself

Abstract

With the ongoing global pandemic of coronavirus disease 2019 (COVID-19), there is an increasing quest for more accessible, easy-to-use, rapid, inexpensive, and high-accuracy diagnostic tools. Traditional disease diagnostic methods such as qRT-PCR (quantitative reverse transcription-PCR) and ELISA (enzyme-linked immunosorbent assay) require multiple steps, trained technicians, and long turnaround time that may worsen the disease surveillance and pandemic control. In sight of this situation, a rapid, one-step, easy-to-use, and high-accuracy diagnostic platform will be valuable for future epidemic control, especially for regions with scarce medical resources. Herein, we report a magnetic particle spectroscopy (MPS) platform for the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) biomarkers: spike and nucleocapsid proteins. This technique monitors the dynamic magnetic responses of magnetic nanoparticles (MNPs) and uses their higher harmonics as a measure of the nanoparticles' binding states. By anchoring polyclonal antibodies (pAbs) onto MNP surfaces, these nanoparticles function as nanoprobes to specifically bind to target analytes (SARS-CoV-2 spike and nucleocapsid proteins in this work) and form nanoparticle clusters. This binding event causes detectable changes in higher harmonics and allows for quantitative and qualitative detection of target analytes in the liquid phase. We have achieved detection limits of 1.56 nM (equivalent to 125 fmole) and 12.5 nM (equivalent to 1 pmole) for detecting SARS-CoV-2 spike and nucleocapsid proteins, respectively. This MPS platform combined with the one-step, wash-free, nanoparticle clustering-based assay method is intrinsically versatile and allows for the detection of a variety of other disease biomarkers by simply changing the surface functional groups on MNPs.

Indexed as

Cluster AnalysisCOVID-19HumansNanoparticlesNucleocapsid ProteinsSARS-CoV-2Spectrum AnalysisSpike Glycoprotein, CoronavirusNucleocapsid ProteinsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19disease diagnosticsmagnetic nanoparticlemagnetic particle spectroscopynucleocapsid proteinSARS-CoV-2spike protein

Identifiers

PMID34499464
PMCPMC8442556

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Registered trials

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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.