An AND-Logic Gate-Based Biosensor for Simultaneous Detection of SARS-CoV-2 Nucleic Acids and Nucleocapsid Proteins
Nucleic acids and proteins are recognized as gold standard biomarkers for disease diagnosis and pathogen detection. However, conventional single-analyte detection methods remain susceptible to false positives caused by manual operational errors or sample contamination, thereby undermining diagnostic reliability and increasing the burden on healthcare systems. To address this limitation, we developed a one-pot isothermal amplification and CRISPR-Cas cooperative system (OIACS) that functions as an AND-logic gate biosensor for the simultaneous detection of SARS-CoV-2 RNA and nucleocapsid protein. Unlike conventional methods relying solely on CRISPR RNA (crRNA) recognition, the OIACS employs antibody-mediated target binding with blocker release for target recognition, offering increased flexibility in assay design for different targets. A universal Cas12a-targetable DNA barcode is generated via strand displacement isothermal amplification, enabling signal amplification upon dual-target recognition. The OIACS assay exhibited practical utility by reliably detecting SARS-CoV-2 transcription- and replication-competent virus-like-particles at 5000 copies/mL, and the limit of detection was determined to be as low as 1698 copies/mL, highlighting its robustness and potential for clinical diagnosis.
Authors
- Rui Gong (ORCID: https://orcid.org/0000-0001-8342-632X)
- W.-F. Yuan (ORCID: https://orcid.org/0000-0003-2296-0443)
- L Song
- Minghai Chen
- Zhongzhong Wan
- Chengchen Xu
Institutions
- Tianjin University of Science and Technology (CN)
- Shenzhen University (CN)
- Chinese Academy of Sciences (CN)
- Institut de Biologie systémique et synthétique (FR)
- Evolutionary Genomics (United States) (US)
- Institute of Biophysics (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- Shenzhen Technology University (CN)
- Health & Life (Taiwan) (TW)
- Wuhan University of Science and Technology (CN)
Publication Details
- Journal
- Analytical Chemistry
- Published
- 2026-01-21
- DOI
- https://doi.org/10.1021/acs.analchem.5c07321
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00