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Adsorption-Free Self-Priming Direct Digital Dual-crRNA CRISPR/Cas12a-Assisted Chip for Ultrasensitive Detection of
Liping Xia1,2, Juxin Yin1,2, Jianjian Zhuang3
1School of Information and Electrical Engineering, Zhejiang University City College, Hangzhou, Zhejiang Province 310015, China.
Analytical Chemistry
|March 3, 2023
Summary
A new adsorption-free digital chip enables rapid, ultrasensitive pathogen detection using a direct digital dual-crRNAs (3D) assay. This method accurately quantifies Salmonella in 30 minutes without nucleic acid extraction, ideal for point-of-care testing.
Area of Science:
- Biotechnology
- Molecular Diagnostics
- Microfluidics
Background:
- Rapid and sensitive pathogen detection is crucial for disease diagnosis and treatment.
- RPA-CRISPR/Cas12 systems show promise for pathogen detection, but face challenges in microfluidic applications.
- Existing self-priming digital PCR chips struggle with protein adsorption and multi-step processes.
Purpose of the Study:
- To develop an adsorption-free self-priming digital chip.
- To establish a direct digital dual-crRNAs (3D) assay for ultrasensitive pathogen detection.
- To enable rapid and accurate quantification of Salmonella in point-of-care settings.
Main Methods:
- Developed an adsorption-free self-priming digital microfluidic chip.
- Established a direct digital dual-crRNAs (3D) assay integrating RPA, CRISPR/Cas12a, and digital PCR.
- Targeted the invA gene of Salmonella for detection.
Main Results:
- Achieved ultrasensitive detection of Salmonella with a limit of detection of approximately 0.2 cells/mL.
- Demonstrated a linear detection range from 2.58 × 10^1 to 2.58 × 10^4 cells/mL.
- Successfully detected Salmonella directly in milk samples within 30 minutes without nucleic acid extraction.
Conclusions:
- The 3D assay on the adsorption-free chip provides accurate and reliable digital absolute quantification of Salmonella.
- This method offers a powerful nucleic acid detection platform for point-of-care testing.
- The developed assay facilitates the application of CRISPR/Cas-assisted detection and microfluidic chips for rapid pathogen identification.

