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Non-enzymatic signal amplification-powered point-of-care SERS sensor for rapid and ultra-sensitive assay of SARS-CoV-2 RNA
The development of rapid and ultra-sensitive detection technology of SARS-CoV-2 RNA for shortening the diagnostic window and achieving early detection of virus infections is a huge challenge to the efficient prevention and control of COVID-19. Herein, a novel ultra-sensitive surface-enhanced Raman s...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110061/ https://www.ncbi.nlm.nih.gov/pubmed/35635970 http://dx.doi.org/10.1016/j.bios.2022.114379 |
Sumario: | The development of rapid and ultra-sensitive detection technology of SARS-CoV-2 RNA for shortening the diagnostic window and achieving early detection of virus infections is a huge challenge to the efficient prevention and control of COVID-19. Herein, a novel ultra-sensitive surface-enhanced Raman spectroscopy (SERS) sensor powered by non-enzymatic signal amplification is proposed for rapid and reliable assay of SARS-CoV-2 RNA based on SERS-active silver nanorods (AgNRs) sensing chips and a specially designed smart unlocking-mediated target recycling signal amplification strategy. The SERS sensing was carried out by a one-pot hybridization of the lock probes (LPs), hairpin DNAs and SERS tags with SARS-CoV-2 RNA samples on an arrayed SERS sensing chip to achieve the recognition of SARS-CoV-2 RNA, the execution of nuclease-free unlocking-mediated target recycling signal amplification, and the combination of SERS tags to generate SERS signal. The SERS sensor for SARS-CoV-2 RNA can be achieved within 50 min with an ultra-high sensitivity low to 51.38 copies/mL, and has good selectivity in discriminating SARS-CoV-2 RNA against other respiratory viruses in representative clinical samples, which is well adapted for rapid, ultra-sensitive, multi-channel and point-of-care testing of viral nucleic acids, and is expected to achieve detection of SARS-CoV-2 infection in earlier detection windows for efficient COVID-19 prevention and control. |
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