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1H NMR-Based Metabolomics to Assess the Impact of Soil Type on the Chemical Composition of Nero d'Avola Red Wines.
Bambina, Paola; Spinella, Alberto; Lo Papa, Giuseppe; Chillura Martino, Delia Francesca; Lo Meo, Paolo; Corona, Onofrio; Cinquanta, Luciano; Conte, Pellegrino.
Afiliação
  • Bambina P; Department of Agricultural, Food and Forestry Sciences, University of Palermo, V.le delle Scienze 13, 90128 Palermo, Italy.
  • Spinella A; Advanced Technologies Network Center (ATeN Center), University of Palermo, via F. Marini 14, 90128 Palermo, Italy.
  • Lo Papa G; Department of Agricultural, Food and Forestry Sciences, University of Palermo, V.le delle Scienze 13, 90128 Palermo, Italy.
  • Chillura Martino DF; Department of Biological, Chemical and Pharmaceutical Sciences and Technologies, University of Palermo, V.le delle Scienze 16, 90128 Palermo, Italy.
  • Lo Meo P; Department of Biological, Chemical and Pharmaceutical Sciences and Technologies, University of Palermo, V.le delle Scienze 16, 90128 Palermo, Italy.
  • Corona O; Department of Agricultural, Food and Forestry Sciences, University of Palermo, V.le delle Scienze 13, 90128 Palermo, Italy.
  • Cinquanta L; Department of Agricultural, Food and Forestry Sciences, University of Palermo, V.le delle Scienze 13, 90128 Palermo, Italy.
  • Conte P; Department of Agricultural, Food and Forestry Sciences, University of Palermo, V.le delle Scienze 13, 90128 Palermo, Italy.
J Agric Food Chem ; 71(14): 5823-5835, 2023 Apr 12.
Article em En | MEDLINE | ID: mdl-36940311
ABSTRACT
In this study, the soil effect on the micro-component composition of Nero d'Avola wines obtained from different locations was investigated through 1H NMR-based metabolomics. Two different approaches were applied the targeted (TA) and the non-targeted one (NTA). The former differentiated the wines by profiling (i.e., by identifying and quantifying) a number of different metabolites. The latter provided wine fingerprinting by processing the entire spectra with multivariate statistical analysis. NTA also allowed investigation of the hydrogen bond network inside wines via the analysis of 1H NMR chemical shift dispersions. Results showed that the differences among wines were due not only to the concentrations of various analytes but also to the characteristics of the H-bond network where different solutes were involved. The H-bond network affects both gustatory and olfactory perceptions by modulating the way how solutes interact with the human sensorial receptors. Moreover, the aforementioned H-bond network is also related to the soil properties from which the grapes were taken. Therefore, the present study can be considered a good attempt to investigate terroir, i.e., the relationship between wine quality and soil characteristics.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vinho / Vitis Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Agric Food Chem Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vinho / Vitis Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Agric Food Chem Ano de publicação: 2023 Tipo de documento: Article