The Science behind Wine and Food Pairing

wine and food pairing sensory science artificial intelligence content-based recommendation machine learning sensory attributes

ავტორები

ტომ. 8 No. 2 (2026)
სტატიები
June 9, 2026

ჩამოტვირთვები

Wine and food pairing is usually associated with culinary experience, cultural traditions, and sommelier expertise. However, a successful pairing is not determined only by personal preference. It also depends on the interaction between the sensory and physicochemical characteristics of wine and food. Acidity, sweetness, tannins, alcohol level, body, fat content, saltiness, spiciness, texture, and flavor intensity can all influence whether a wine and a dish create a balanced and pleasant tasting experience.

This paper examines the scientific principles behind wine and food pairing, with particular attention to the main characteristics of wine and food and the way they interact. The discussion focuses on common pairing mechanisms such as balance, contrast, complementarity, flavor intensity matching, acidity-fat interaction, sweetness-spiciness balance, and tannin-protein interaction. The paper also considers wine-food pairing as a structured decision-making task that may support the development of AI-based recommendation systems in the wine industry. From an informatics perspective, sensory and physicochemical characteristics can be treated as input features for models that evaluate the compatibility between wines and dishes. The paper contributes a structured synthesis of expert-based pairing principles and a conceptual mapping of these principles to content-based recommendation logic, providing a foundation for future AI-supported wine recommendation research.