1H NMR spectrum carries signatures of white wine aroma
Wine is an experiential product, with sensory characteristics playing a key role in its appreciation. Various chemical constituents, including non-volatile, semi-volatile and volatile compounds, contribute to its sensory profile. This study aims to evaluate the effectiveness of proton nuclear magnetic resonance ( 1 H NMR) metabolomics to assess the aroma profile and structure of white wines. Metabolites such as acetate and glycerol were positively correlated with wine body and the perception of caramelised (acetate: R = 0.48, q < 0.001; glycerol: R = 0.48, q < 0.001) and dried and candied fruits (acetate: R = 0.49, q < 0.001; glycerol: R = 0.48, q < 0.001). The dried and candied fruits attribute was associated also with glucose (R = 0.41, q < 0.001) and fructose (R = 0.46, q < 0.001), while tropical fruits notes were linked to proline (R = 0.42, q < 0.001) and acetate (R = 0.41, q < 0.001). Although acetate and glycerol levels were independent of grape variety, the concentrations of proline, glucose, and fructose exhibited variety-dependent differences. 1 H NMR metabolomics, though less complex than panels or volatile compound analysis, can uncover specific aroma-related features and maximise the information extracted from a single spectrum. Already applied in wine quality and authenticity assessments, this approach may support winemakers in estimating sensory profiles, offering a valuable tool for monitoring wine production and characterisation. • Proline and acetate associated with tropical fruit aroma (R ≈ 0.41–0.42). • 1 H NMR revealed sensory-relevant metabolites in a single spectrum analysis. • Acetate and glycerol linked to body and caramelised fruit notes (R = 0.48). • Glucose and fructose correlated with dried and candied fruits (R > 0.40). • Variety affected proline, glucose, fructose, but not acetate or glycerol levels.
Authors
- Isabella Taglieri (ORCID: https://orcid.org/0000-0001-6000-9371)
- Jaroslav Havlík (ORCID: https://orcid.org/0000-0003-1900-0951)
- Pavel Klouček (ORCID: https://orcid.org/0000-0001-8035-0542)
- Anna Mascellani (ORCID: https://orcid.org/0000-0003-3831-5983)
- Francesca Venturi (ORCID: https://orcid.org/0000-0002-7844-3253)
- Lubomir Matak
- Petr Gondas
Institutions
- University of Pisa (IT)
- Valve (United States) (US)
- Czech University of Life Sciences Prague (CZ)
Publication Details
- Journal
- LWT
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1016/j.lwt.2025.117786
- Citations
- 2
- Primary Topic
- Fermentation and Sensory Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.32