Semantic Scholar Open Access 2025 3 sitasi

Metabolomic Nuclear Magnetic Resonance Insights into Wine and Grape Ale Maturation

D. Gerginova Plamen Chorbadzhiev Svetlana Simova

Abstrak

The chemical profiles of young and mature wines produced from three grape varieties Merlot, Mavrud, and Sauvignon blanc were analyzed using 1H nuclear magnetic resonance (NMR) spectroscopy and advanced statistical methods. Furthermore, grape ales―a hybrid of beer and wine—were subjected to analysis to facilitate a comparison of their composition with that of traditional wines. The analysis yielded a total of 37 compounds, which were identified and quantified. Orthogonal partial least squares discriminant analysis (OPLS-DA) models were employed to distinguish the chemical profiles of young and mature wines, as well as those of grape ales. The findings demonstrate that the fermentation and aging processes result in the formation of distinctive chemical signatures in wines, with key compounds such as shikimic acid and fructose contributing to this differentiation. The identified compounds comprise seven alcohols (2,3-butanediol, glycerol, 2-methylpropan-1-ol, 3-methyl-butan-1-ol, myo-inositol, 1-propanol, 2-phenylethanol), six organic acids (galacturonic, citric, lactic, malic, shikimic, succinic), three amino acids (alanine, proline, tyrosine), four sugars (arabinose, fructose, galactose, glucose), coutaric acid, and acetoin. The levels of these 22 components enabled the successful differentiation of young and mature wines among the three grape varieties. These findings underscore the substantial chemical distinctions between grape ales and wines, thereby emphasizing the potential of grape ales as an innovative fermented beverage.

Penulis (3)

D

D. Gerginova

P

Plamen Chorbadzhiev

S

Svetlana Simova

Format Sitasi

Gerginova, D., Chorbadzhiev, P., Simova, S. (2025). Metabolomic Nuclear Magnetic Resonance Insights into Wine and Grape Ale Maturation. https://doi.org/10.3390/beverages11010029

Akses Cepat

Lihat di Sumber doi.org/10.3390/beverages11010029
Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.3390/beverages11010029
Akses
Open Access ✓