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macromolecular diversity of Italian red wines

Authors: M. Marangon; L. Moio; D. Perenzoni; L. Rolle; A. Versari; S. Vincenzi; M. Ugliano; +1 Authors

macromolecular diversity of Italian red wines

Abstract

Proteins and polysaccharides play a key role in red wine quality. Proteins interact with tannins to form insoluble complexes; this is exploited in fining treatments to remove excessive tannins. Conversely to a common belief, several studies have shown that red wines contain significant amounts of soluble proteins, but their role on wine quality is not clear. Polysaccharides can modulate astringency, but no specific data on Italian varieties are available. The Diversity of Italian Wines (D-Wines) project aims to collect and analyze a large compositional dataset of Italian wines, including data on their macromolecular composition, with the final aim to disclose its complex relationship with perceived astringency. The macromolecular fraction (proteins and polysaccharides) of 143 red wines from 11 varieties was measured, and characterized by SDS-PAGE and HPLC. Tannin reactivity to a standard protein (BSA) was assessed by turbidimetry. Results showed a great diversity: the protein content ranged between 0 and 150 mg/L, while the polysaccharides content ranged between 300 and 1000 mg/L. This latter correlated well with the turbidity formed upon BSA addition, confirming the role of these macromolecules in modulating astringency. The information collected by the D-Wines consortium will help elucidating the mechanism at the basis of astringency of important varieties, thus providing valuable information to winemakers for the improvement of mouth-feel properties of red wines.

Country
Italy
Keywords

tannins; red wines; D-Wine project;, red wine , proteins, polysaccharides, Wines, Macromolecules

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green