Machine learning-assisted ratiometric Zr-MOF-based fluorescent probe for intelligent detection of uranyl ions

Qing Wang, Haixia Quan, Peipei Liao, Meifeng Li, Yonggang Lv

Open source

DOI
10.1016/j.jhazmat.2026.143787
Published
2026-10
Container
Journal of Hazardous Materials
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.jhazmat.2026.143787,
  title = {Machine learning-assisted ratiometric Zr-MOF-based fluorescent probe for intelligent detection of uranyl ions},
  author = {Qing Wang and Haixia Quan and Peipei Liao and Meifeng Li and Yonggang Lv},
  year = {2026},
  journal = {Journal of Hazardous Materials},
  doi = {10.1016/j.jhazmat.2026.143787},
  url = {https://doi.org/10.1016/j.jhazmat.2026.143787}
}

RIS

TY  - JOUR
TI  - Machine learning-assisted ratiometric Zr-MOF-based fluorescent probe for intelligent detection of uranyl ions
AU  - Qing Wang
AU  - Haixia Quan
AU  - Peipei Liao
AU  - Meifeng Li
AU  - Yonggang Lv
PY  - 2026
JO  - Journal of Hazardous Materials
DO  - 10.1016/j.jhazmat.2026.143787
UR  - https://doi.org/10.1016/j.jhazmat.2026.143787
ER  - 

APA

Wang, Q., Quan, H., Liao, P., Li, M., & Lv, Y. (2026). Machine learning-assisted ratiometric Zr-MOF-based fluorescent probe for intelligent detection of uranyl ions. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2026.143787

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