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Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern

  • Huihuang Lin
  • , Weibo Zheng
  • , Shenwei Li
  • , Yu Wang
  • , Dong Wei
  • , Leiying Xie
  • , Wei Lu
  • , Zhengan Tian*
  • , Shaowei Wang*
  • , Jieming Qu*
  • , Jia Liu*
  • *此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

Previous studies have highlighted CRISPR-based nucleic acid detection as rapid and sensitive diagnostic methods for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Here, we reported an optimized CRISPR-Cas12a diagnostic platform for the safe and rapid detection of SARS-CoV-2 variants of concern (VOCs). This platform, which was referred to as CALIBURN-v2, could complete the diagnosis on extracted RNA samples within 25 min in a closed-lid reaction mode and had 100-fold increase in detection sensitivity in comparison with previous platforms. Most importantly, by integrating a portable device and smartphone user interface, CALIBURN-v2 allowed for cloud server-based data collection and management, thus transforming the point-of-care testing (POCT) platform to internet of medical things (IoMT) applications. It was found that IoMT-enabled CALIBURN-v2 could achieve 95.56% (172 out of 180) sensitivity for SARS-CoV-2 wild type and 94.38% (84 out of 89) overall sensitivity for SARS-CoV-2 variants including Delta and Omicron strains. Therefore, our study provides a feasible approach for IoMT-enabled CRISPR diagnostics for the detection of SARS-CoV-2 VOCs.

源语言英语
文章编号1070940
期刊Frontiers in Microbiology
13
DOI
出版状态已出版 - 18 11月 2022
已对外发布

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