ArticleMicrobial biotechnology2022
Detection and classification of SARS-CoV-2 using high-resolution melting analysis.
Article in Microbial biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Development and clinical application of a low-cost high-resolution melting curve assay for CD36 gene variant screening in a chinese population.Molecular biology reports · 2025Article
- Application of a high-resolution melt assay for monitoring SARS-CoV-2 variants in Burkina Faso and Kenya.mSphere · 2025Article
- Pericardial and Pleural Effusions in Non-ICU Hospitalized Patients with COVID-19-A Retrospective Single-Center Study.Journal of clinical medicine · 2024Article
- Rapid Detection of Predominant SARS-CoV-2 Variants Using Multiplex High-Resolution Melting Analysis.Microbiology spectrum · 2023Article
- Detection and classification of SARS-CoV-2 using high-resolution melting analysis.Microbial biotechnology · 2022Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has recently posed a significant threat to global public health. The objective of this study was to develop and evaluate a rapid, expandable and sequencing-free high-resolution melting (HRM) approach for the direct detection and classification of SARS-CoV-2. Thirty-one common pathogens that can cause respiratory tract infections were used to evaluate the specificity of the method. Synthetic RNA with serial dilutions was utilized to determine the sensitivity of the method. Finally, the clinical performance of the method was assessed using 290 clinical samples. The one-step multiplex HRM could accurately identify SARS-CoV-2 and differentiate mutations in each marker site within approximately 2 h. For each target, the limit of detection was lower than 10 copies/reaction, and no cross-reactivity was observed among organisms within the specificity testing panel. The method showed good uniformity for SARS-CoV-2 detection with a consistency of 100%. Regarding the clade classification performance, the results showed good concordance compared with sequencing, with the rate of agreement being 95.1% (78/82). The one-step multiplex HRM method is a rapid method for SARS-CoV-2 detection and classification.
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Registered trials
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