Deep Learning‐Enhanced DNAzyme‐Driven Rolling‐Circle Amplification Encoding for Multibacterial Detection
CFU/mL sensitivity for S. aureus, B. cocovenenans, and E. coli in food, clinical, and environmental samples; shows 100% positive and ≥95.2% negative agreement with culture; and correctly identifies 29/32 samples naturally contaminated with these three bacteria in a 32-tube array. The platform offers culture-comparable sensitivity and live-cell specificity, providing a generalizable blueprint for large-scale multiplex pathogen screening.
Authors
- K Wang
- Yan Chang
- Kaiyun Song
- Z D Zhang (ORCID: https://orcid.org/0000-0002-2393-520X)
- M Liu
- Jiuxing Li (ORCID: https://orcid.org/0000-0001-7012-2482)
- Wei Xue
- Ran Li
Institutions
- Dalian University of Technology (CN)
- Dalian Municipal Central Hospital (CN)
Publication Details
- Journal
- Angewandte Chemie International Edition
- Published
- 2026-04-15
- DOI
- https://doi.org/10.1002/anie.4446117
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Fundamental Research Funds for the Central Universities