Evidence map›Paper›PMID 39989430›Full record

ArticleMicrobial biotechnology2025

Immunoassay Detection of SARS-CoV-2 Using Monoclonal Antibody Binding to Viral Nucleocapsid Protein.

Robert M Hnasko, Alice V Lin, Jeffery A McGarvey, Eric S Jackson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbial biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Robert M HnaskoUnited States Department of Agriculture, Agricultural Research Service, Produce Safety and Microbiology Unit, Albany, California, USA.ORCID https://orcid.org/0000-0001-6133-5056
Alice V LinUnited States Department of Agriculture, Agricultural Research Service, Produce Safety and Microbiology Unit, Albany, California, USA.
Jeffery A McGarveyUnited States Department of Agriculture, Agricultural Research Service, Foodborne Toxin Detection and Prevention Unit, Albany, California, USA.ORCID https://orcid.org/0000-0002-7517-7025
Eric S JacksonUnited States Department of Agriculture, Agricultural Research Service, Foodborne Toxin Detection and Prevention Unit, Albany, California, USA.

Funding

U.S. Department of Agriculture 2030-32000-011-000-DU.S. Department of Agriculture 2030-32000-011-007-I
6 · The paper itself

Abstract

Immunoassays represent sensitive, easy-to-use, and cost-effective tests useful for the detection of the SARS-CoV-2 virus. In this manuscript, we report on the binding specificity of a pair of novel monoclonal antibodies (MAbs) generated against the SARS-CoV-2 nucleocapsid protein (NP) and their development into sensitive sandwich enzyme-linked immunosorbent assays (sELISA) and a lateral flow immunoassay (LFIA). Binding of these MAbs to hCoVs is limited to variants of SARS-CoV-2 and SARS-CoV NP. Chemiluminescent and absorbance spectroscopy sELISAs report a limit of detection (LOD) for the SARS-CoV-2 B.1.1.529 NP variant at 15 pg/mL, and the LFIA using a red-dyed 200 nm particle at 10 ng/mL. The sELISA exhibits broad SARS-CoV-2 viral variant detection with assay LOD for SARS-CoV-2 B.1.1.529 virus at 1.4 × 10

Indexed as

Antibodies, MonoclonalAntibodies, ViralCoronavirus Nucleocapsid ProteinsCOVID-19Nucleocapsid ProteinsPhosphoproteinsSARS-CoV-2COVID-19 Serological TestingEnzyme-Linked Immunosorbent AssayHumansImmunoassayLimit of DetectionAntibodies, MonoclonalAntibodies, ViralCoronavirus Nucleocapsid Proteinsnucleocapsid phosphoprotein, SARS-CoV-2Nucleocapsid ProteinsPhosphoproteinscoronavirusdiagnosticELISAimmunoassaylateral flow immunoassaymonoclonal antibodiesnucleocapsid proteinSARS‐CoV‐2

Identifiers

PMID39989430
PMCPMC11848557

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.