Machine learning - optimized molecularly imprinted electrochemical sensor based on Bi-rich BiOBr/BC@AuNPs for trace determination of sulfachlorpyrazine sodium in food.
- DOI
- 10.1016/j.foodchem.2026.149506
- Published
- 2026 Aug 1
- Container
- Food chemistry
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.foodchem.2026.149506,
title = {Machine learning - optimized molecularly imprinted electrochemical sensor based on Bi-rich BiOBr/BC@AuNPs for trace determination of sulfachlorpyrazine sodium in food.},
author = {Zeng Q and Liu P and Chen Y and Li Y and Xiao H and Li Q and Li A and Liang J and Li W and Wen Y and Tang K},
year = {2026},
journal = {Food chemistry},
doi = {10.1016/j.foodchem.2026.149506},
url = {https://doi.org/10.1016/j.foodchem.2026.149506}
}RIS
TY - JOUR TI - Machine learning - optimized molecularly imprinted electrochemical sensor based on Bi-rich BiOBr/BC@AuNPs for trace determination of sulfachlorpyrazine sodium in food. AU - Zeng Q AU - Liu P AU - Chen Y AU - Li Y AU - Xiao H AU - Li Q AU - Li A AU - Liang J AU - Li W AU - Wen Y AU - Tang K PY - 2026 JO - Food chemistry DO - 10.1016/j.foodchem.2026.149506 UR - https://doi.org/10.1016/j.foodchem.2026.149506 ER -
APA
Q, Z., P, L., Y, C., Y, L., H, X., Q, L., A, L., J, L., W, L., Y, W., & K, T. (2026). Machine learning - optimized molecularly imprinted electrochemical sensor based on Bi-rich BiOBr/BC@AuNPs for trace determination of sulfachlorpyrazine sodium in food.. Food chemistry. https://doi.org/10.1016/j.foodchem.2026.149506
Source records
- pubmed · retrieved 2026-09-26T08:07:19.845Z
- europe-pmc · retrieved 2026-09-26T08:07:19.864Z