Chemical and sensory influences of the UV-C light of 254 nm in combination with the antioxidant substances in wine

Despite the extensive research performed during the last decades, the multifactorial mechanism responsible for the white wine protein haze formation is not fully characterized. Herein, a new model is proposed, which is based on the experimental identification of sulfur dioxide as a major modulating factor inducing wine protein haze upon heating. As opposed to other reducing agents, such as 2-mercaptoethanol, dithiothreitol and tris(2-carboxyethyl)phosphine hydrochloride (TCEP), the addition of SO2 to must/wine upon heating cleaves intraprotein disulfide bonds, hinders thiol-disulfide exchange during protein interactions and can lead to the formation of novel inter/intraprotein disulfide bonds. Those are eventually responsible for wine protein aggregation which follows a nucleation-growth kinetic model as shown by dynamic light scattering [1].

Postharvest dehydration is a widely employed technique in winemaking to enhance sugar concentration and secondary metabolites from grapes. Different grape varieties exhibit varying responses in terms of dehydration rate and the resulting chemical composition.

Wine aroma is influenced by several viticultural and oenological factors. In this study we used experimental wine making in a full factorial design to determine the impact of grapevine age, must turbidity, and yeast strain on the aroma of Vitis vinifera L. cv. Riesling wines. A recently developed, non-targeted SPME-GC-MS fingerprinting approach for wine volatiles was used. This approach includes the segmentation and mathematical transformation of chromatograms in combination with Parallel Factor Analysis (PARAFAC) and subsequent deconvolution of important chromatogram segments.

Genetic diversity within grapevine cultivars is a fundamental resource for varietal improvement and adaptation to cultivation requirements.

Climate plays a predominant role in vines’ growth and productivity and several environmental variables are already known to pose challenges to grapevine production and the horticultural industry as a whole. In this context, a number of extreme weather events already occurring and expected to occur in the next decades even more frequently and with higher magnitude results from current climate change scenario. The aim of this study was to examine the physiological responses of roots, leaves, and berries of Vitis vinifera cv. Sauvignon blanc to consecutive and combined stressors simulated in a semi-controlled environment.