KFO-Atlas - A molecular atlas of key food odorants
Abstract
KFO-Atlas is a curated dataset of key food odorants (KFOs), comprising 896 unique odorants identified from 2,282 food aroma profiles. The dataset provides a structured resource for exploring the molecular composition and mixture-level organization of food aromas and for supporting computational aroma analysis and design. This dataset accompanies the publication “Molecular Atlas of Key Food Odorants Reveals Mixture-Level Organization and Enables Generative Aroma Design,” published in Advanced Science (2026). This dataset is licensed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License. It may be freely used for academic research and other non-commercial purposes with appropriate attribution. For commercial use, please contact the authors to obtain permission.
Fields of Study & Subjects
Fermentation and Sensory Analysis
Biochemical and biochemical processes
Sensory Analysis and Statistical Methods
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 20 January 2026
- Language
- EN
- Document type
- Dataset