Chemistry, Mouthfeel, and Consumer: Understanding Red Wine Astringency via Sensory and Analytical Approaches (Year 1). AVF Project #2025-2954.
Summary of Progress:
Wine astringency is a major driver of red wine style and consumer experience, yet it remains hard to predict when wines appear similar by routine tests. Phenolic compounds are chemically diverse, and their effects depend on molecular structure and interactions with the wine matrix and saliva, so wines with similar pH, ethanol, and conventional total phenolic measurements can still feel meaningfully different.
During the first 6 to 7 months of Year 1, we advanced and applied our structure-informed phenolic fingerprinting approach to a targeted set of commercial California Cabernet Sauvignon wines selected to be chemically narrow by traditional metrics. Key components of the analytical workflow have progressed rapidly, resulting in two peer-reviewed publications (Lin et al., 2025; Lin et al., 2026). We also completed the first round of mouthfeel-focused sensory mapping with semi-trained wine consumers (n = 17) and collected paired saliva samples before and after wine consumption for planned Year 2 proteomics.
Early analyses indicate the structure-informed fingerprints explain the sensory space better than basic composition or conventional spectrophotometric phenolic assays. In multivariate models, basic chemistry provided little predictive value, bulk phenolic assays predicted the primary sensory dimension but performed poorly for the second, and TFF provided the strongest overall prediction (Q2 approximately 0.71 for Dimension 1 and 0.37 for Dimension 2). Within this chemically narrow wine set, Dimension 1 is most associated with condensed tannins and oxidation-derived features, while Dimension 2 is more associated with hydrolysable tannins and stilbenes. We also observe clear person-to-person variability that is not explained by wine chemistry alone, motivating the planned Year 2 focus on saliva characterization.
A second mapping study to validate predictive performance with an independent wine set has been approved and is scheduled to begin in late February, and results will feed directly into Year 2 saliva proteomics and targeted follow-up testing.
This work is advancing practical, structure-informed tools to better explain and predict astringency and mouthfeel differences among wines that appear similar by standard chemistry. Improved prediction in this chemically narrow space can reduce trial-and-error decision-making and help wineries more consistently achieve intended mouthfeel styles. By quantifying when person-to-person biology (saliva) contributes to sensory variability, the project also supports future translation to consumer preference and segmentation, strengthening the ability of growers and wineries to align production choices with desired product profiles.

