Machine learning reveals structural determinants of odor detection thresholds and identifies high-potency food odorants.

Hou X, Zhou Z, Shi P, Wang Y, Liu S, Ji Z, Zhang D, Mao J

Open source

DOI: 10.1038/s41538-026-01125-7
Published: 2026 Sep 3
Container: NPJ science of food
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41538-026-01125-7,
  title = {Machine learning reveals structural determinants of odor detection thresholds and identifies high-potency food odorants.},
  author = {Hou X and Zhou Z and Shi P and Wang Y and Liu S and Ji Z and Zhang D and Mao J},
  year = {2026},
  journal = {NPJ science of food},
  doi = {10.1038/s41538-026-01125-7},
  url = {https://doi.org/10.1038/s41538-026-01125-7}
}

RIS

TY  - JOUR
TI  - Machine learning reveals structural determinants of odor detection thresholds and identifies high-potency food odorants.
AU  - Hou X
AU  - Zhou Z
AU  - Shi P
AU  - Wang Y
AU  - Liu S
AU  - Ji Z
AU  - Zhang D
AU  - Mao J
PY  - 2026
JO  - NPJ science of food
DO  - 10.1038/s41538-026-01125-7
UR  - https://doi.org/10.1038/s41538-026-01125-7
ER  -

APA

X, H., Z, Z., P, S., Y, W., S, L., Z, J., D, Z., & J, M. (2026). Machine learning reveals structural determinants of odor detection thresholds and identifies high-potency food odorants.. NPJ science of food. https://doi.org/10.1038/s41538-026-01125-7

Source records

pubmed · retrieved 2026-09-25T23:24:09.134Z
europe-pmc · retrieved 2026-09-25T23:24:09.164Z
doaj · retrieved 2026-09-25T23:24:09.154Z