Researchers devise a faster way to measure red wine polymerization
The new fluorescence-based method tracks phenolic structure with less sample preparation and could help wineries monitor texture and color stability
Friday, July 31, 2026

Researchers have reported a new way to estimate the degree of polymerization in red wine, a measurement tied to how wine feels in the mouth and how well its color holds over time. The work, published in Food Research International and indexed on PubMed, combines fluorescence anisotropy with parallel factor analysis, or PARAFAC, to measure phenolic structure more quickly and with less sample preparation than many standard methods.
The study focuses on phenolic compounds, a broad group of molecules that play a central role in red wine’s texture, bitterness, astringency and visual stability. As these compounds link together into longer chains, their degree of polymerization changes. That shift matters because it can influence sensory traits that producers and researchers track closely during fermentation, maturation and bottle aging.
According to the paper, conventional approaches used to estimate polymerization can be slow and often require complex preparation steps. Some also depend on chromatographic separation, which adds time and laboratory work. The authors said their method was designed as a more efficient alternative that could estimate polymer length without that separation step.
The approach relies first on fluorescence anisotropy, a technique that examines the intrinsic fluorescence of wine phenolics. In practical terms, the measurement gives information about molecular size and mobility. Those properties are linked to the length of phenolic polymers, making the signal useful for estimating how far polymerization has progressed.
The second part of the method uses PARAFAC, a multivariate analytical tool applied to fluorescence excitation-emission matrices. In the study, PARAFAC was used to break down those complex fluorescence data sets into components associated with polymer size distribution. By combining both techniques, the researchers built a model intended to estimate degree of polymerization in red wine more directly.
The paper reports that the model showed a strong correlation with results obtained through conventional methods. That finding, the authors said, supports the validity of the FA-PARAFAC approach as a rapid and non-destructive analytical tool. The study presents it as a way to monitor phenolic polymerization during winemaking and aging while reducing the need for more labor-intensive testing.
For wineries, the potential value is practical. Faster analytical tools can help producers follow structural changes in wine closer to real time as lots move through fermentation tanks, barrels or storage. Better visibility into phenolic development could support decisions on extraction, maceration length and aging strategy. It may also strengthen quality control by giving laboratories another option for characterizing wines without destroying samples or relying on lengthy workflows.
The implications could extend beyond wine research. Because the method is based on polyphenol fluorescence behavior, it may also prove useful in studying other beverages rich in polyphenols if future work confirms that broader application. That could matter for beverage makers looking for quicker ways to assess stability, composition and product evolution during processing or shelf life.
The authors said future research will test the methodology across a wider range of wine types and examine its possible use in quality control and in the characterization of other polyphenol-rich drinks. For now, the study adds a new analytical option for an industry that depends heavily on understanding how chemistry shapes taste, texture and longevity in the glass.