Wine aroma descriptors are important tools for wine evaluation. The present well-known wine aroma descriptor system was created and based on Western culture, which makes difficult for Chinese consumers to recognize and learn wine. AIM: The aim of this study was to update the wine aroma descriptor system for Chinese.

Methods: Fifty-four wine aroma descriptors of ‘Le nez du vin’ was used as substitution candidates. Firstly, a survey on unfamiliar aromas was distributed to 150 untrained Chinese wine consumers. Twenty attributors, such as blackcurrent buds, quince, linden, were selected as the most 17 unfamiliar. Then, a descriptive analysis was performed by trained tasting panel to substitute the targeted twenty aromas perfume. Furthermore, reference standards were looked and new le nez du vin were made. Finally, a substitution analysis was performed to replace the unknown wine aroma to the Chinese local aromas.

Xinomavro is a red grape variety from Northern Greece (Protected Designation of Origin), known for the nice acidities, perfectly appropriate for sparkling wine production (Rosé and Blanc de Noir). The elabo- ration of sparkling wine requires technical as well as scientific skills. Although the impact of the yeast strains and their metabolites on the final product quality is well documented, the action of bacteria still remains unknown.
The present work focuses (i) on the population diversity of lactic acid bacteria isolated from sparkling wines and (ii) on the technological effect of the species during sparkling wine elaboration.

Understanding vineyard site contribution to elemental composition of wines has, historically, been limited due to lack of continuity across multiple vintages, as well as lack of uniformity in scion clone and lack of controlled pilot-scale winemaking conditions.  We recently completed our fifth vintage, and have elemental composition characterizing wines from four vintages (2015–2018)

Vineyard yield forecasting is a key issue for vintage scheduling and optimization of winemaking operations. High errors in yield forecasting can be found in the wine industry, mainly due to the high spatial variability in vineyards, strong dependency on historical yield data, insufficient use of agroclimatic data and inadequate sampling methods

Wineries can increase their economic and environmental sustainability by optimizing the winemaking procedures, from harvest to wine maturation and conservation. Based on analytical data of the chemical composition and wine sensory evaluation, the enologist makes his own decision regarding the enological interventions at the harvest date selection, winemaking and post-winemaking.