Chemistry-informed AI for food toxicant and adulterant detection: matrix-aware validation and auditable decision support.

Sahu CK, Arora A

DOI: 10.1016/j.foodchem.2026.151875
Published: 2026 Oct 31
Container: Food chemistry
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1016/j.foodchem.2026.151875,
  title = {Chemistry-informed AI for food toxicant and adulterant detection: matrix-aware validation and auditable decision support.},
  author = {Sahu CK and Arora A},
  year = {2026},
  journal = {Food chemistry},
  doi = {10.1016/j.foodchem.2026.151875},
  url = {https://doi.org/10.1016/j.foodchem.2026.151875}
}

RIS

TY  - JOUR
TI  - Chemistry-informed AI for food toxicant and adulterant detection: matrix-aware validation and auditable decision support.
AU  - Sahu CK
AU  - Arora A
PY  - 2026
JO  - Food chemistry
DO  - 10.1016/j.foodchem.2026.151875
UR  - https://doi.org/10.1016/j.foodchem.2026.151875
ER  -

APA

CK, S., & A, A. (2026). Chemistry-informed AI for food toxicant and adulterant detection: matrix-aware validation and auditable decision support.. Food chemistry. https://doi.org/10.1016/j.foodchem.2026.151875

Source records

pubmed · retrieved 2026-11-10T20:02:14.895Z
europe-pmc · retrieved 2026-11-10T20:02:14.908Z