Amplification-Free Ribonucleic Acid Detection via Cas13−Csm6−Horseradish Peroxidase Cascade with Single-Molecule Sensitivity
Achieving a single-molecule level for RNA detection remains a significant challenge in point-of-care settings. We present CCHP, a Cas13-Csm6-horseradish peroxidase three-step enzymatic cascade assay that enables amplification-free RNA detection with a simple colorimetric readout at 450 nm within 1 h under standard conditions. Across diverse viral and non-coding targets, CCHP spans a dynamic range of 10-10<sup>7</sup> copies per reaction, showing strong agreement with RT-qPCR on serial dilutions (|<i>r</i>| ≈ 0.95). In a small blinded feasibility comparison using extracted RNA from infected versus uninfected cells, CCHP showed concordance with the reference method (κ = 1.0). In representative matrices spiked with synthetic RNA and without nucleic acid extraction or purification, positive events were observed near the single-molecule input level for H1N1-NP in oropharyngeal swabs and for SARS-CoV-2-N in oropharyngeal swabs and plasma, consistent with stochastic initiation of the cascade by single-molecule inputs under Poisson-limited conditions. Under these conditions, the assay maintains stable low-copy detection performance. A physics-guided minimal model integrating deterministic kinetics and stochastic partition statistics informed assay design and sensitivity projection, which were subsequently validated experimentally. By coupling single-molecule-level initiation with ultralow-copy detection and operational simplicity, CCHP advances point-of-care RNA diagnostics and surveillance.
Authors
- Huimin Zhong
- Xin Zhang
- Xian-En Zhang
Institutions
- Shenzhen University (CN)
- Chinese Academy of Sciences (CN)
- First Affiliated Hospital of Guangzhou Medical University (CN)
- Wuhan Institute of Virology (CN)
- Institute of Biophysics (CN)
- State Key Laboratory of Synthetic Chemistry (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- Shenzhen Technology University (CN)
- State Key Laboratory of Respiratory Disease (CN)
- Huazhong University of Science and Technology (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- ACS Sensors
- Published
- 2026-02-26
- DOI
- https://doi.org/10.1021/acssensors.5c03979
- Primary Topic
- SARS-CoV-2 detection and testing
- Type
- article
- Field-Weighted Citation Impact
- 0.00