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A simple magnetic nanoparticles-based viral RNA extraction method for efficient detection of SARS-CoV-2
Zhen Zhao; Haodong Cui; Wenxing Song; Xiaoling Ru; Wenhua Zhou; Xuefeng Yu.
Affiliation
  • Zhen Zhao; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
  • Haodong Cui; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
  • Wenxing Song; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
  • Xiaoling Ru; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
  • Wenhua Zhou; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
  • Xuefeng Yu; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
Preprint in English | bioRxiv | ID: ppbiorxiv-961268
ABSTRACT
1The ongoing outbreak of the novel coronavirus disease 2019 (COVID-19) originating from Wuhan, China, draws worldwide concerns due to its long incubation period and strong infectivity. Although RT-PCR-based molecular diagnosis techniques are being widely applied for clinical diagnosis currently, timely and accurate diagnosis are still limited due to labour intensive and time-consuming operations of these techniques. To address the issue, herein we report the synthesis of poly (amino ester) with carboxyl groups (PC)-coated magnetic nanoparticles (pcMNPs), and the development of pcMNPs-based viral RNA extraction method for the sensitive detection of COVID-19 causing virus, the SARS-CoV-2. This method combines the lysis and binding steps into one step, and the pcMNPs-RNA complexes can be directly introduced into subsequent RT-PCR reactions. The simplified process can purify viral RNA from multiple samples within 20 min using a simple manual method or an automated high-throughput approach. By identifying two different regions (ORFlab and N gene) of viral RNA, a 10-copy sensitivity and a strong linear correlation between 10 and 105 copies of SARS-CoV-2 pseudovirus particles are achieved. Benefitting from the simplicity and excellent performances, this new extraction method can dramatically reduce the turn-around time and operational requirements in current molecular diagnosis of COVID-19, in particular for the early clinical diagnosis.
License
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Full text: Available Collection: Preprints Database: bioRxiv Type of study: Diagnostic study / Experimental_studies / Prognostic study / Rct Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: bioRxiv Type of study: Diagnostic study / Experimental_studies / Prognostic study / Rct Language: English Year: 2020 Document type: Preprint
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