Hplc-ms analysis of carotenoids as potential precursors for 1,1,6-trimethyl-1,2-dihydronaphthalene (TDN) in riesling grapes

Conventional viticulture improved the quality of production, but the economic costs can be unsustainable. Today, producers need to consider consumers’ demands for healthy, eco-friendly products. Institutions promote sustainable agriculture, with regenerative agriculture being the latest generation of methodologies focused on recovering losses and ensuring future sustainability. The revine project studies regenerative agricultural technology applied in mediterranean countries to provide precise indications for soil processing and effective vineyard treatments.

Context and purpose of the study ‐ Crop load management by cluster thinning can improve ripening and the concentration of key metabolites for grape and wine quality. However, little work has been done on testing the impact of crop load management on terpene content of white grapes. The goal of the study was to assess if by reducing crop load via cluster thinning growers can increase terpene concentration of grapes, as well as to test if the timing of thinning application affects terpene concentration.

Consumers typically prefer wines with floral and fruity aromas over those presenting green-pepper, vegetal or herbaceous notes. Pyrazines have been identified as causatives for herbaceous notes in wines, especially Bordeaux reds. However, pyrazines are not universally responsible for herbaceousness, and several other wine volatile compounds are known to produce distinct vegetal/herbaceous aromas in wines. Specifically, volatile aldehydes elicit sensations of herbaceousness or grassiness and have been described in wines well above their perception thresholds.

Regenerative agriculture is a set of agricultural practices that focus on improving the health of the soil, increasing biodiversity, and enhancing ecosystem services.

AIM: Metabolomics in food science has been increasingly used over the last twenty years. Among the tools used for wine, qNMR has emerged as a powerful tool to discern wines based on environmental factors such as geographical origin, grape variety and vintage (Gougeon et al., 2019a).