From Molecule Identification to Sensory Prediction: Approaches, Applications, and Perspectives of Sensomics and Flavoromics in Volatile Flavor Compound Research
Sensomics and flavoromics represent distinct paradigms for studying volatile flavor compounds, differing fundamentally in their underlying logic and research objectives. This review systematically compares both approaches, detailing their workflows while highlighting essential considerations at key stages. For sensomics, this includes obtaining a representative flavor sample, rigorous criteria for compound identification, quantitation, and appropriate matrix design in recombination and omission studies. For flavoromics, critical aspects encompass robust data collection and preprocessing methods alongside model development and validation strategies. We further elucidate the specific strengths, limitations, and complementary nature of each methodology for volatile flavor analysis, together with their respective application scopes and future research trajectories. By establishing clear guidelines and addressing common pitfalls, the current review would provide foundational reference or design robust experimental frameworks in flavor research.
Authors
- Zhong Fang (ORCID: https://orcid.org/0000-0002-7703-8686)
- Kunli Xu (ORCID: https://orcid.org/0000-0002-7206-1000)
- Shuai Liu (ORCID: https://orcid.org/0000-0003-4059-0730)
- Yunhan Duan
- Haoying Han
- Bei Wang
- Shan Ding
- Luigi Lucini
- Zirui Guo
- Imre Blank
Institutions
- Università Cattolica del Sacro Cuore (IT)
- Jiangnan University (CN)
- Beijing Technology and Business University (CN)
- Sustainable Food Center (US)
- Institute for Schools of the Future (US)
- Forum for the Future (GB)
- Institute for the Future (US)
- CSL (Switzerland) (CH)
Publication Details
- Journal
- Journal of Agricultural and Food Chemistry
- Published
- 2026-01-09
- DOI
- https://doi.org/10.1021/acs.jafc.5c13311
- Citations
- 1
- Primary Topic
- Sensory Analysis and Statistical Methods
- Type
- article
- Field-Weighted Citation Impact
- 30.02