The
clustered regularly interspaced short palindromic repeats (CRISPR)-based
nucleic acid detection can be combined with recombinase-aided amplification
(RAA) to enable rapid, accurate, and early detection of SARS-CoV-2.
Current CRISPR-based approaches to detecting viral nucleic acid typically
require immense manual operations to transfer RPA amplicons for CRISPR
detection or suffer from compromised sensitivity by mixing the competing
RPA amplification and CRISPR detection. Here, we develop dual-CRISPR/Cas12a-assisted
RT-RAA assay and a ″sample-to-answer″ centrifugal microfluidic
platform that can automatically detect 1 copy/μL of the SARS-CoV-2
within 30 min. This chip separates the amplification (RAA) from detection
(CRISPR), such that sensitivity is maximized and the time consumption
is decreased by a factor of 3. For the 26 positive and 8 negative
clinical SARS-CoV-2 samples, this automated centrifugal microfluidics
achieved 100% accuracy compared to the gold-standard RT-PCR technique.
This point-of-care test, with the advantages of being one-step, automated,
rapid, and sensitive, will have a significant potential for clinical
diagnosis and disease prevention.
Conventional nucleic acid detection technologies usually rely on amplification to
improve sensitivity, which has drawbacks, such as amplification bias, complicated
operation, high requirements for complex instruments, and aerosol pollution. To address
these concerns, we developed an integrated assay for the enrichment and single molecule
digital detection of nucleic acid based on a CRISPR/Cas13a and microwell array. In our
design, magnetic beads capture and concentrate the target from a large volume of sample,
which is 100 times larger than reported earlier. The target-induced CRISPR/Cas13a
cutting reaction was then dispersed and limited to a million individual femtoliter-sized
microwells, thereby enhancing the local signal intensity to achieve single-molecule
detection. The limit of this assay for amplification-free detection of SARS-CoV-2 is 2
aM. The implementation of this study will establish a
“sample-in-answer-out” single-RNA detection technology without
amplification and improve the sensitivity and specificity while shortening the detection
time. This research has broad prospects in clinical application.
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