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

IF 5.7 2区 生物学
Robert M. Hnasko, Alice V. Lin, Jeffery A. McGarvey, Eric S. Jackson
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引用次数: 0

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 × 105 genome copies per mL (p ≤ 0.001). The availability of these MAbs should facilitate continued investment in the commercial development of immunoassays to increase global SARS-CoV-2 detection technologies.

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来源期刊
Microbial Biotechnology
Microbial Biotechnology Immunology and Microbiology-Applied Microbiology and Biotechnology
CiteScore
11.20
自引率
3.50%
发文量
162
审稿时长
1 months
期刊介绍: Microbial Biotechnology publishes papers of original research reporting significant advances in any aspect of microbial applications, including, but not limited to biotechnologies related to: Green chemistry; Primary metabolites; Food, beverages and supplements; Secondary metabolites and natural products; Pharmaceuticals; Diagnostics; Agriculture; Bioenergy; Biomining, including oil recovery and processing; Bioremediation; Biopolymers, biomaterials; Bionanotechnology; Biosurfactants and bioemulsifiers; Compatible solutes and bioprotectants; Biosensors, monitoring systems, quantitative microbial risk assessment; Technology development; Protein engineering; Functional genomics; Metabolic engineering; Metabolic design; Systems analysis, modelling; Process engineering; Biologically-based analytical methods; Microbially-based strategies in public health; Microbially-based strategies to influence global processes
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