Macrowine 2021
IVES 9 IVES Conference Series 9 Study of the colour and phenolic evolution of three different tannin/anthocyanin ratios over time in a model wine

Study of the colour and phenolic evolution of three different tannin/anthocyanin ratios over time in a model wine

Abstract

Phenolic compounds are important quality indicators in red wine. A large number of polyphenols play an important role in wine development, contributing to the colour and the sensory perception of the wines. Anthocyanins are the pigments responsible for the colour in young red wines while tannins are the principal contributors to the bitterness and the astringency of the wines. Wine polyphenols are considered more complex molecules than grape phenolics, due to the enormous number of chemical reactions which take place during the entire winemaking process and storage, forming more stable compounds. In theory, the tannin/anthocyanin ratio could affect the development of the phenolic profile of the wine. Oxygen also plays an essential part in wine’s colour and phenolic stabilization. The main aim of the study is to evaluate the colour and phenolic evolution over time of three different tannin/anthocyanin ratios in a model wine system as well as the impact that oxygen has on this. The three different tannin/anthocyanin ratios were selected according to a different volume of seeds: skins (Sk) with no seeds added, skins + seeds (SkS) and skins + 4 times seeds (Sk4S). The extractions took place in model wine solution. The three treatments were separated into two oxygen treatments and stored hermetically closed vials. Preliminary results show, as expected, a similar amount of anthocyanin in all the treatments and higher tannin concentration in the 4 time seeds treatment. Oxygen consumption also seemed to differ between the ratios. The colour and phenolic evolution will be reported at different sampling stages over time.

Publication date: May 17, 2024

Issue: Macrowine 2016

Type: Poster

Authors

Gonzalo Garrido Bañuelos*, André De Villiers, Astrid Buica, Wessel du Toit

*Stellenbosch University

Contact the author

Tags

IVES Conference Series | Macrowine | Macrowine 2016

Citation

Related articles…

Simultaneous monitoring of dissolved CO2 and collar from Rosé sparkling wine glasses: the impact of yeast macromolecules

Champagne or sparkling wines elaborated through the same traditional method, which consists in two major yeast-fermented steps, typically hold about 10 to 12 g/L of dissolved CO2 after the second fermentation in a closed bottle. Hundreds of molecules and macromolecules originating from grape and yeast cohabit with dissolved CO2; they are essential compounds contributing to many organoleptic characteristics (effervescence, foam, aroma, taste, colour…). Indeed, the second alcoholic fermentation and the maturation on lees (which may last from 12 months up to several years) both induce various quantitative and qualitative changes in the wine through the action of yeast, as listed hereafter: development of aromas during aging on lees, release of nitrogen compounds during autolysis and release of macromolecules (polysaccharides, lipids, nucleic acids) in wine.

Impact of industrial-scale serial filtration on macromolecules in red wines

Filtration is a critical step in ensuring the clarity and microbial stability of wine prior to bottling. However the process of filtering potentially reduces red wine quality by removing some of the macromolecules that contribute to the texture of the wine. Commercial red wines, Cabernet Sauvignon (CAS) and Shiraz (SHZ), of two vintages and two grades (premium grade wines from the older vintage: CAS13 and SHZ13; and standard grade wines from a younger vintage: CAS14 and SHZ14) were filtered through industrial-scale commercial filtration units prior to bottling. Samples were taken before and after cross-flow filtration, lenticular filters, 0.65 µm and 0.45 µm pore size nylon membrane filters. The concentration and composition of macromolecules, including tannins and polysaccharides, were measured in all samples as well as particle size distribution and wine colour.

Reduction of herbaceous aromas by wine lactic acid bacteria mediated degradation of volatile aldehydes

Consumers typically prefer wines with floral and fruity aromas over those presenting green-pepper, vegetal or herbaceous notes. Pyrazines have been identified as causatives for herbaceous notes in wines, especially Bordeaux reds. However, pyrazines are not universally responsible for herbaceousness, and several other wine volatile compounds are known to produce distinct vegetal/herbaceous aromas in wines. Specifically, volatile aldehydes elicit sensations of herbaceousness or grassiness and have been described in wines well above their perception thresholds.

Pesticide removal in wine with a physical treatment by molecular sieving

All along the winemaking process, conditioning and aging, wine is susceptible to be contaminated by different molecules. Contaminations can have various origins, related to wine microorganisms or as a result of an exogenous contamination. The aforementioned contamination of the wine can be caused by the migration of molecules from the materials in contact with the wine or by a contamination from exogenous molecules present in the air. Regardless of the source of the contamination, mainly two types of consequences can be observed.

South Africa’s top 10 Sauvignon blanc wines. How do the chemical and sensory profiles compare?

FNB Top 10 Sauvignon Blanc competition, presented by the Sauvignon Blanc Interest Group of South Africa and sponsored by First National Bank, is the country’s foremost platform for producers of this cultivar to showcase and benchmark their wines. Wines entered in the competition originated from all over the winegrowing regions of the country and the winning wines showed good representation of quality South African Sauvignon blanc wines. The ten selected wines were subjected to various chemical analyses including volatile thiol and methoxypyrazine determination, while the sensory profile of each wine was determined using projective mapping.