Volatile Organic Compound-Based Predictive Modeling of Smoke Taint in Wine
Cheng-En Tan,
Bishnu Prasad Neupane,
Yan Wen
et al.
Abstract:Smoke taint in wine has become a critical issue in the
wine industry
due to its significant negative impact on wine quality. Data-driven
approaches including univariate analysis and predictive modeling are
applied to a data set containing concentrations of 20 VOCs in 48 grape
samples and 56 corresponding wine samples with a taster-evaluated
smoke taint index. The resulting models for predicting the smoke taint
index of wines are highly predictive when using as inputs VOC concentrations
after log conversion in … Show more
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