From Molecule Identification to Sensory Prediction: Approaches, Applications, and Perspectives of Sensomics and Flavoromics in Volatile Flavor Compound Research

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Authors: Haoying Han, Imre Blank, Yunhan Duan, Kunli Xu, Zirui Guo, Shuai Liu, Shan Ding, Luigi Lucini, Fang Zhong, Bei Wang
Cited by: 2
References: 123

Abstract

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.

Fields of Study & Subjects

Sensory Analysis and Statistical Methods Fermentation and Sensory Analysis Advanced Chemical Sensor Technologies

Publication details

Journal / source
Journal of Agricultural and Food Chemistry
Publisher
American Chemical Society (ACS)
Volume
74
Issue
4
Pages
3316–3331
Publication date
9 January 2026
Language
EN