ArticleFoods (Basel, Switzerland)2026
Construction of a Comprehensive Contribution Ranking Model for Baijiu Aroma Compounds Based on Multi-Source Molecular Feature Fusion and Validation by Aroma Recombination.
Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Baijiu aroma arises from the combined effects of diverse volatile and semivolatile trace components within the Baijiu matrix. A single concentration value or odor activity value (OAV) cannot fully characterize the relative importance of a compound in a specific sample. A knowledge base containing 5572 Baijiu aroma-related compounds was used to develop a comprehensive contribution ranking model and a sample-level intensity prediction model. Odor evidence, molecular structure, physicochemical properties, volatility and partitioning characteristics, matrix information, and evidence quality were integrated. Comprehensive contribution is defined here as a within-sample relative ranking index obtained from multi-source molecular features, concentration information, and matrix conditions under a specified model setting. It is not a direct measurement of the true sensory contribution of a compound. After data standardization and screening for feature computability, 5568 compounds were included in the scorer. The R
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