Clustered regularly interspaced short
palindromic repeats (CRISPR)-based
nucleic acid-sensing systems have grown rapidly in the past few years.
Nevertheless, an objective approach to benchmark the performances
of different CRISPR sensing systems is lacking due to the heterogeneous
experimental setup. Here, we developed a quantitative CRISPR sensing
figure of merit (FOM) to compare different CRISPR methods and explore
performance improvement strategies. The CRISPR sensing FOM is defined
as the product of the limit of detection (LOD) and the associated
CRISPR reaction time (T). A smaller FOM means that
the method can detect smaller target quantities faster. We found that
there is a tradeoff between the LOD of the assay and the required
reaction time. With the proposed CRISPR sensing FOM, we evaluated
five strategies to improve the CRISPR-based sensing: preamplification,
enzymes of higher catalytic efficiency, multiple crRNAs, digitalization,
and sensitive readout systems. We benchmarked the FOM performances
of 57 existing studies and found that the effectiveness of these strategies
on improving the FOM is consistent with the model prediction. In particular,
we found that digitalization is the most promising amplification-free
method for achieving comparable FOM performances (∼1 fM·min)
as those using preamplification. The findings here would have broad
implications for further optimization of the CRISPR-based sensing.