Cascaded SDA-Exo III amplification with machine learning-driven multi-modal data fusion for self-powered biosensing
- DOI
- 10.1016/j.aca.2026.345979
- Published
- 2026-10
- Container
- Analytica Chimica Acta
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.aca.2026.345979,
title = {Cascaded SDA-Exo III amplification with machine learning-driven multi-modal data fusion for self-powered biosensing},
author = {Tao Wen and Qingnian Wu and Haiyan Chen and Chenchen Jin and Haibo Wang and Ke-Jing Huang and Kaisheng Diao and Shaogang Liu},
year = {2026},
journal = {Analytica Chimica Acta},
doi = {10.1016/j.aca.2026.345979},
url = {https://doi.org/10.1016/j.aca.2026.345979}
}RIS
TY - JOUR TI - Cascaded SDA-Exo III amplification with machine learning-driven multi-modal data fusion for self-powered biosensing AU - Tao Wen AU - Qingnian Wu AU - Haiyan Chen AU - Chenchen Jin AU - Haibo Wang AU - Ke-Jing Huang AU - Kaisheng Diao AU - Shaogang Liu PY - 2026 JO - Analytica Chimica Acta DO - 10.1016/j.aca.2026.345979 UR - https://doi.org/10.1016/j.aca.2026.345979 ER -
APA
Wen, T., Wu, Q., Chen, H., Jin, C., Wang, H., Huang, K., Diao, K., & Liu, S. (2026). Cascaded SDA-Exo III amplification with machine learning-driven multi-modal data fusion for self-powered biosensing. Analytica Chimica Acta. https://doi.org/10.1016/j.aca.2026.345979
Source records
- crossref · retrieved 2026-09-25T14:58:35.387Z