Accurate identification and sensitive quantification of infected bacteria after dental implant both play crucial roles in early-diagnosis of bacterial infection and guiding medicine applications. Herein, we propose a sensitive and… Click to show full abstract
Accurate identification and sensitive quantification of infected bacteria after dental implant both play crucial roles in early-diagnosis of bacterial infection and guiding medicine applications. Herein, we propose a sensitive and accurate bacteria detection method based on CRISPR-Cas12a system assisted allosteric scaffold. In the method, the allosteric scaffold takes the responsibility of specifically identifying target bacteria and inducing CRISPR-Cas12a based signal amplification. Eventually, the method exhibits a wide detection range from 6 × 106 cfu/mL to 6 × 102 cfu/mL with the limit of detection (LOD) of 47 cfu/mL. Furthermore, the established approach also possesses a high specificity due to high selectivity of aptamer and robust accuracy in recognizing double strand DNA by CRISPR-Cas12a system. We believe that this work can provide new strategies in the field of diagnosing bacterial infections after dental implantation.
               
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