Machine learning-assisted universal PGM sensing platform: Recognition-detection separation via DNAzyme-nanozyme triplex switch.
- DOI
- 10.1016/j.talanta.2026.130432
- Published
- 2026 Aug 11
- Container
- Talanta
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.talanta.2026.130432,
title = {Machine learning-assisted universal PGM sensing platform: Recognition-detection separation via DNAzyme-nanozyme triplex switch.},
author = {Dong G and Chai L and Jian M and Niu J and Feng Z and Liang J and Wang Y and Wang J and Ma M},
year = {2026},
journal = {Talanta},
doi = {10.1016/j.talanta.2026.130432},
url = {https://doi.org/10.1016/j.talanta.2026.130432}
}RIS
TY - JOUR TI - Machine learning-assisted universal PGM sensing platform: Recognition-detection separation via DNAzyme-nanozyme triplex switch. AU - Dong G AU - Chai L AU - Jian M AU - Niu J AU - Feng Z AU - Liang J AU - Wang Y AU - Wang J AU - Ma M PY - 2026 JO - Talanta DO - 10.1016/j.talanta.2026.130432 UR - https://doi.org/10.1016/j.talanta.2026.130432 ER -
APA
G, D., L, C., M, J., J, N., Z, F., J, L., Y, W., J, W., & M, M. (2026). Machine learning-assisted universal PGM sensing platform: Recognition-detection separation via DNAzyme-nanozyme triplex switch.. Talanta. https://doi.org/10.1016/j.talanta.2026.130432
Source records
- pubmed · retrieved 2026-09-26T09:42:53.421Z