Machine Learning-Assisted Multiplexed and Ultrasensitive Biosensing of Pathogenic Bacteria based on a TtAgo-Powered Autocatalytic Nucleic Acid Circuit and Encoded SERS Tags.
- DOI
- 10.1021/acs.analchem.6c03958
- Published
- 2026 Sep 22
- Container
- Analytical chemistry
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.analchem.6c03958,
title = {Machine Learning-Assisted Multiplexed and Ultrasensitive Biosensing of Pathogenic Bacteria based on a TtAgo-Powered Autocatalytic Nucleic Acid Circuit and Encoded SERS Tags.},
author = {Zhang X and Qiu M and Huang J and Zhang Y and Tian Y and Zhang W and Jiang Y and Zhang X},
year = {2026},
journal = {Analytical chemistry},
doi = {10.1021/acs.analchem.6c03958},
url = {https://doi.org/10.1021/acs.analchem.6c03958}
}RIS
TY - JOUR TI - Machine Learning-Assisted Multiplexed and Ultrasensitive Biosensing of Pathogenic Bacteria based on a TtAgo-Powered Autocatalytic Nucleic Acid Circuit and Encoded SERS Tags. AU - Zhang X AU - Qiu M AU - Huang J AU - Zhang Y AU - Tian Y AU - Zhang W AU - Jiang Y AU - Zhang X PY - 2026 JO - Analytical chemistry DO - 10.1021/acs.analchem.6c03958 UR - https://doi.org/10.1021/acs.analchem.6c03958 ER -
APA
X, Z., M, Q., J, H., Y, Z., Y, T., W, Z., Y, J., & X, Z. (2026). Machine Learning-Assisted Multiplexed and Ultrasensitive Biosensing of Pathogenic Bacteria based on a TtAgo-Powered Autocatalytic Nucleic Acid Circuit and Encoded SERS Tags.. Analytical chemistry. https://doi.org/10.1021/acs.analchem.6c03958
Source records
- pubmed · retrieved 2026-11-10T16:40:54.617Z