| Literature DB >> 35126481 |
Zhen Sun1, Kang-Feng Lin1, Ze-Hang Zhao1, Yang Wang2, Xin-Xin Hong1, Jian-Guang Guo1, Qing-Yu Ruan2, Lian-Yu Lu2, Xiao Li1, Rui Zhang3, Chao-Yong Yang2, Bo-An Li1,2.
Abstract
Outbreaks of both influenza virus and the novel coronavirus SARS-CoV-2 are serious threats to human health and life. It is very important to establish a rapid, accurate test with large-scale detection potential to prevent the further spread of the epidemic. An optimized RPA-Cas12a-based platform combined with digital microfluidics (DMF), the RCD platform, was established to achieve the automated, rapid detection of influenza viruses and SARS-CoV-2. The probe in the RPA-Cas12a system was optimized to produce maximal fluorescence to increase the amplification signal. The reaction droplets in the platform were all at the microliter level and the detection could be accomplished within 30 min due to the effective mixing of droplets by digital microfluidic technology. The whole process from amplification to recognition is completed in the chip, which reduces the risk of aerosol contamination. One chip can contain multiple detection reaction areas, offering the potential for customized detection. The RCD platform demonstrated a high level of sensitivity, specificity (no false positives or negatives), speed (≤30 min), automation and multiplexing. We also used the RCD platform to detect nucleic acids from influenza patients and COVID-19 patients. The results were consistent with the findings of qPCR. The RCD platform is a one-step, rapid, highly sensitive and specific method with the advantages of digital microfluidic technology, which circumvents the shortcomings of manual operation. The development of the RCD platform provides potential for the isothermal automatic detection of nucleic acids during epidemics. Electronic Supplementary Material: Supplementary material is available in the online version of this article at 10.1007/s11426-021-1169-1. © Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2022.Entities:
Keywords: Cas12a; SARS-CoV-2; digital microfluidics; influenza virus; nucleic acid detection
Year: 2022 PMID: 35126481 PMCID: PMC8809245 DOI: 10.1007/s11426-021-1169-1
Source DB: PubMed Journal: Sci China Chem ISSN: 1869-1870 Impact factor: 10.138