KFO-Atlas - A molecular atlas of key food odorants

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Authors: Jingzhi Zhang, Dachuan Zhang
Cited by: 0

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