A New Auto-RPA-Fluorescence Detection Platform for SARS-CoV-2

Autor: Jing, Tian, Biao, Chen, Bin, Zhang, Tantan, Li, Zhiqiang, Liang, Yujin, Guo, Huping, Jiao, Fenghong, Liang, Longquan, Xiang, Fanzhong, Lin, Ruiwen, Ren, Qingbin, Liu
Rok vydání: 2022
Předmět:
Zdroj: Laboratory Medicine. 54:182-189
ISSN: 1943-7730
0007-5027
DOI: 10.1093/labmed/lmac093
Popis: Objective The outbreak of COVID-19 caused by SARS-CoV-2 has led to a serious worldwide pandemic. Quantitative reverse transcription–polymerase chain reaction (qRT-PCR)–based methods were recommended for routine detection of SARS-CoV-2 RNA. Because the reaction time and analytical sensitivity of qRT-PCR limits the diagnosis of SARS-CoV-2, development of a quick process of SARS-CoV-2 detection technology with high analytical sensitivity remains urgent. Methods We combined isothermal amplification and fluorescence detection technology to develop a new auto-recombinase polymerase amplification (RPA)-fluorescence platform that could be used in the diagnosis of SARS-CoV-2. Results By optimization of primers and probes, the RPA platform could detect SARS-CoV-2 nucleotides within 15 min. The limits of detection and specificity of the auto-RPA-fluorescence platform were 5 copies/µL and 100%, respectively. The accuracy of detection of the auto-RPA-fluorescence platform in the 16 positive samples was 100%. Conclusion The RPA platform is a potential technology for the diagnosis of SARS-CoV-2 infection.
Databáze: OpenAIRE