Wine, a sensitive and intricate agricultural product, is being affected by climate change, which accelerates grapevine phenological stages and alters grape composition and ripening. This influences the synthesis of key aroma compounds, shaping wine’s sensory attributes [1]. The complex aroma profile, resulting from compound interactions, presents a metabolomics challenge to identify these indicators and their environmental change responses, which is being addressed using diverse analytical techniques.

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.

Uno degli aspetti più importanti nel commercio internazionale dei vini a denominazione è quello del riconoscimento dei diritti di esclusiva garantiti sui e dal territorio geografico d’o­rigine. Al fine di cautelarsi nei confronti della sempre più agguerrita concorrenza mondiale, è opportuno adottare adeguate protezioni ufficiali e legali delle denominazioni che possono derivare sia dalla “naturalità” del prodotto stesso che dalla “originalità” più particolare.

Color is one of the main qualitative parameters of a wine. As a matter of fact, immediately after having opened a bottle of wine, color, even before aroma and taste, is the first sensorial parameter to be evaluated by the consumer It can change according to various factors depending on the characteristics of the grapes or on the different production and storage processes.

In a context of a sustainable viticulture, a new uprising strategy to improve grape and wine composition (or quality) is the exogenous application of plant activators(Gil-Muñoz et al., 2017)