Machine learning-assisted CeO<sub>2</sub> nanorod sensor platform for visual detection of paraoxon
Here we report a machine learning-assisted CeO<sub>2</sub> nanorod sensor platform, which can achieve real-time colorimetric detection of the selectivity of paraoxon with an accuracy rate of 90%. Its high selectivity comes from the fact that CeO<sub>2</sub> nanorods selectively break the P-O bonds in paraoxon, and the product is yellow.
Authors
- Yanran Chen (ORCID: https://orcid.org/0000-0002-0475-2432)
- Hongmei Liu (ORCID: https://orcid.org/0000-0002-5118-9793)
- Baomin Yang
- Zaiyou Tao
- Shaoying He
Institutions
- Kunming University of Science and Technology (CN)
Publication Details
- Journal
- Chemical Communications
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5cc00982k
- Primary Topic
- Electrochemical Analysis and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Yunnan Provincial Science and Technology Department
- Applied Basic Research Key Project of Yunnan