OENO IVAS 2019 banner
IVES 9 IVES Conference Series 9 OENO IVAS 9 OENO IVAS 2019 9 Chemical and Biochemical reactions, including grape and wines microorganisms impact 9 Are dicysteinyl polysulfanes responsible for post-bottling release of hydrogen sulfide?

Are dicysteinyl polysulfanes responsible for post-bottling release of hydrogen sulfide?

Abstract

Hydrogen sulfide (H2S) has a significant impact on wine aroma attributes and wine quality when present at concentrations above its aroma threshold of 1.1 to 1.6 μg/L. Therefore, the management of H2S concentrations in wines, whether from fermentation or “other” origins, is an important consideration for winemakers. The main techniques used for H2S removal are oxidative handling and/or copper fining; however, the effectiveness of these treatments may be temporary, as H2S can often reappear post-bottling along with other volatile sulfur compounds (VSCs) when reductive conditions are re-established. Moreover, it is proposed that oxidative treatments applied in the presence of copper may produce compounds such as disulfides and diorganopolysulfanes, which might initially appear stable but are susceptible to reductive cleavage, thereby potentially acting as latent sources of H2S. 

The aim of this study was to determine whether putative polysulfanes could act as latent sources of H2S during post-bottling storage. Experiments conducted in model wine enabled identification of four dicysteinyl polysulfanes when H2S was oxidised in the presence of cysteine, copper and iron. The stability of the dicysteinyl polysulfanes formed in-situ was evaluated and conditions impacting the release of H2S from the polysulfanes were also determined, which provided some understanding of the possible mechanisms of release. 

The results of this study showed that the stability of the dicysteinyl polysulfanes decreased as sulfur chain length increased, which accorded with the relative proportions of polysulfanes initially formed. 

Notably, H2S was released over time, with the greatest decline in polysulfane relative abundance and largest release of H2S (up to 212 μg/L) being associated with the addition of commonly used reducing agents, especially sulfur dioxide, to the model wines containing the polysulfanes. Desulfurisation of cysteine could account for only minor quantities of H2S. In addition, Cysteine-S-sulfonates were tentatively identified by mass spectrometry after six months of storage, and similarly to the parent polysulfanes, their relative concentrations decreased with increasing number of linking sulfur atoms. These results shed light on the potential pathways for reformation of VSCs in bottled wine and demonstrate that dicysteinyl polysulfanes may have the potential to act as latent sources of H2S in wine post-bottling, potentially via a sulfitolysis mechanism.

DOI:

Publication date: June 11, 2020

Issue: OENO IVAS 2019

Type: Article

Authors

Marlize Bekker , David Jeffery, Gal Kreitman, John Danilewicz

The Australian Wine Research Institute PO Box 197 – Glen Osmond SA 5064 – Australia

Contact the author

Keywords

Polysulfanes, S-sulfonate, Copper, Sulfur dioxide 

Tags

IVES Conference Series | OENO IVAS 2019

Citation

Related articles…

Chemical systems behind wine aroma perception: overview, genesis and evolution

This talk presents a revision of our knowledge and understanding of the role played by the different aroma chemicals in the positive aroma attributes of wine. A systematic approach to classifying the different aroma chemicals of wine is presented .

Ripening behaviour and grape must quality of eleven white resistant varieties in Trentino

In a situation of uncertainty towards the overall effect of climate change and the reduction of pestice utilization on quality, the wine sector needs to maintain the profitability of producers, which inexorably depends on ensuring the quality of grapes and wines. Among the various alternatives that can be adopted, hybrid varieties carrying resistance genes are currently gaining the attention of researchers and producers. Some of them are already a reality and are included in the national catalogue of some countries, selected by research institutes all over Europe.

Challenges and opportunities for increasing organic carbon in vineyard soils: perspectives of extension specialists

Increasing soil organic carbon (SOC) in vineyards enhances soil health with associated benefits for climate change resilience and mitigation.

Phenolic composition and chromatic characteristics of blends of cv. Tempranillo wines from vines grown with different viticultural techniques in a semi-arid area

The quality and color stability of red wines are directly related to content and distribution of phenolic compounds. However, the climate change produces the asynchrony between the dates of technological and maturity of grapes. The crop-forcing technique (CF) restores the coupling between phenolic and technological ripeness while limits vineyard yields. Blending of wines is frequently used to equilibriate composition of wines and to increase their stability, color and quality. The aim of the present work is to study the phenolic composition and color of wine blends made with FW (wines from vines subjected to CF) and CW (wines for vines under the usual cultivation practices).

Prediction of sauvignon blanc quality gradings with static headspace−gas chromatography−ion mobility spectrometry (SHS−GC−IMS) and machine learning

The main goal of the current study is the development of a cost-effective and easy-to-use method suitable for use in the laboratory of commercial wineries to analyze wine aroma. Additionally, this study attempted to establish a prediction model for wine quality gradings based on their aroma, which could reveal the important aroma compounds that correlate well with different grades of perceived quality METHODS: Parameters of the SHS−GC−IMS instrument were first optimized to acquire the most desirable chromatographic resolution and signal intensities. Method stability was then exhibited by repeatability and reproducibility. Subsequently, compound identification was conducted. After method development, a total of 143 end-ferment wine samples of three different quality gradings from vintage 2020 were analyzed with the SHS−GC−IMS instrument. Six machine learning methods were employed to process the results and construct a quality prediction model. Techniques that aim to explain the model to extract useful insights were also applied.