Department of Agricultural, Food and Forestry Sciences, University of Palermo, V.le delle Scienze 13, 90128 Palermo, Italy.
Advanced Technologies Network Center (ATeN Center), University of Palermo, via F. Marini 14, 90128 Palermo, Italy.
J Agric Food Chem. 2023 Apr 12;71(14):5823-5835. doi: 10.1021/acs.jafc.2c08654. Epub 2023 Mar 20.
In this study, the soil effect on the micro-component composition of wines obtained from different locations was investigated through H NMR-based metabolomics. Two different approaches were applied: the targeted (TA) and the non-targeted one (NTA). The former differentiated the wines by (i.e., by identifying and quantifying) a number of different metabolites. The latter provided wine by processing the entire spectra with multivariate statistical analysis. NTA also allowed investigation of the hydrogen bond network inside wines via the analysis of H 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 , i.e., the relationship between wine quality and soil characteristics.
本研究通过基于核磁共振的代谢组学方法，研究了土壤对不同产地葡萄酒微观成分组成的影响。采用了两种不同的方法：靶向分析（TA）和非靶向分析（NTA）。前者通过（即通过识别和定量）许多不同的代谢物来区分葡萄酒。后者通过对整个光谱进行多变量统计分析来提供葡萄酒指纹图谱。NTA 还允许通过分析核磁共振氢谱化学位移分散来研究葡萄酒内部的氢键网络。结果表明，葡萄酒之间的差异不仅归因于各种分析物的浓度，还归因于涉及不同溶质的氢键网络的特征。氢键网络通过调节溶质与人类感觉受体相互作用的方式，影响味觉和嗅觉感知。此外，上述氢键网络也与葡萄所生长的土壤特性有关。因此，本研究可以被认为是一种很好的尝试，用于研究葡萄酒质量和土壤特性之间的关系。
