A machine learning-assisted colorimetric sensor array based on Fe-doped MnO₂/graphene composites for flavonoid identification and bioactivity prediction in vine tea.
- DOI
- 10.1016/j.foodchem.2026.151211
- Published
- 2026 Sep 19
- Container
- Food chemistry
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.foodchem.2026.151211,
title = {A machine learning-assisted colorimetric sensor array based on Fe-doped MnO₂/graphene composites for flavonoid identification and bioactivity prediction in vine tea.},
author = {Wang J and Xiang J and Hong Y and Su H and Yang B and Zheng Y},
year = {2026},
journal = {Food chemistry},
doi = {10.1016/j.foodchem.2026.151211},
url = {https://doi.org/10.1016/j.foodchem.2026.151211}
}RIS
TY - JOUR TI - A machine learning-assisted colorimetric sensor array based on Fe-doped MnO₂/graphene composites for flavonoid identification and bioactivity prediction in vine tea. AU - Wang J AU - Xiang J AU - Hong Y AU - Su H AU - Yang B AU - Zheng Y PY - 2026 JO - Food chemistry DO - 10.1016/j.foodchem.2026.151211 UR - https://doi.org/10.1016/j.foodchem.2026.151211 ER -
APA
J, W., J, X., Y, H., H, S., B, Y., & Y, Z. (2026). A machine learning-assisted colorimetric sensor array based on Fe-doped MnO₂/graphene composites for flavonoid identification and bioactivity prediction in vine tea.. Food chemistry. https://doi.org/10.1016/j.foodchem.2026.151211
Source records
- pubmed · retrieved 2026-09-26T09:05:49.359Z