An “Off+Off=On” Amplification-Free Strategy Leveraging Threshold Concentration for Enhanced Detection Sensitivity in Crispr-Cas Biosensing Systems

19 Pages Posted: 10 May 2025

See all articles by Yaping Li

Yaping Li

Hainan University

Zhiqing Yang

Hainan University

Xiaoyu Zhang

Hainan University

Yue Yu

Hainan University

Jiaxin Luo

Hainan University

Changhua He

Hainan Provincial Center for Disease Control and Prevention

Abstract

Pre-amplification-free CRISPR/Cas diagnostic biosensors are a research hotspot due to their speed, simplicity and low-cost advantages. Here, we proposed an “OFF + OFF = ON” strategy based on Cas12a inspired by threshold concentration, which enables sensitive and rapid nucleic acid diagnostics without pre-amplification. First, anassisted nucleic acid (AN) with a sequence identical to the target nucleic acid (TN) is added to the detection system at a threshold concentration, maintaining the trans-cleavage activity of Cas12a remains undetectable and the signal in an “OFF” state, which transitions to “ON” when this concentration is exceeded. Similarly, when the TN concentration falls below the threshold concentration, it maintains another “OFF” state. However, when the combined concentrations of AN and TN exceed the threshold concentration, the trans-cleavage activity of CRISPR/Cas12a is activated and the system transitions to an “ON” state, thereby triggering the detectable activation of the biosensor. The strategy can significantly improve the sensitivity for bacteria or nucleic acid detection by two orders of magnitude compared with a direct Cas12a detection system, providing a new pre-amplification-free pathway for developing Cas-based sensors with high sensitivity.

Keywords: CRISPR-Cas12a, Staphylococcus aureus, mecA, biosensor

Suggested Citation

Li, Yaping and Yang, Zhiqing and Zhang, Xiaoyu and Yu, Yue and Luo, Jiaxin and He, Changhua, An “Off+Off=On” Amplification-Free Strategy Leveraging Threshold Concentration for Enhanced Detection Sensitivity in Crispr-Cas Biosensing Systems. Available at SSRN: https://ssrn.com/abstract=5249331 or http://dx.doi.org/10.2139/ssrn.5249331

Yaping Li

Hainan University ( email )

No. 58, Renmin Avenue
570228, P.R.
Haikou, HainanProvince
China

Zhiqing Yang (Contact Author)

Hainan University ( email )

No. 58, Renmin Avenue
570228, P.R.
Haikou, HainanProvince
China

Xiaoyu Zhang

Hainan University ( email )

No. 58, Renmin Avenue
570228, P.R.
Haikou, HainanProvince
China

Yue Yu

Hainan University ( email )

No. 58, Renmin Avenue
570228, P.R.
Haikou, HainanProvince
China

Jiaxin Luo

Hainan University ( email )

No. 58, Renmin Avenue
570228, P.R.
Haikou, HainanProvince
China

Changhua He

Hainan Provincial Center for Disease Control and Prevention ( email )

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