Fuentes-Espinosa José Miguel, Muñoz-Castells Raquel, Moreno-García Jaime, García-Martínez Teresa, Mauricio Juan Carlos, Moreno Juan
Department of Agricultural Chemistry, Edaphology and Microbiology, Agrifood Campus of International Excellence CeiA3, University of Córdoba, 14014 Córdoba, Spain.
Molecules. 2025 Jan 9;30(2):238. doi: 10.3390/molecules30020238.
This research aims to identify aroma compounds, their combinations, and statistical relationships to classify and characterize wines produced in small, defined areas known as "terroirs", which share edaphoclimatic characteristics grape varieties, viticultural practices, harvest timing, and winemaking processes. The goal is to deepen the understanding of the relationship between the terroir and wine typicity. This study analyzed the contents based on enological parameters, the major and minor volatile compounds of the young wines produced in three wineries across two vintages, using the Pedro Ximenez white grape variety cultivated in different terroirs within the same quality zone. Statistical tools, such as Multiple Variable Analysis (MVA) and Principal Component Analysis (PCA), were employed to identify significant differences in the volatilomes of wines. PCA effectively differentiated wines from each terroir and vintage using scores from the first two principal components, calculated based on the absolute concentrations of 12 major volatile compounds and 3 polyols. Conversely, PCA based on the concentrations of 52 minor volatile compounds showed a strong ability to classify wines by vintage year. The minor volatile contents of wines from 2 vintages, grouped into 9 chemical families, provide distinct fingerprints that enable wines to be distinguished by terroir. The results underscore the chemical basis underlying terroir typicity in a production zone within a warm Protected Denomination of Origin (PDO).
本研究旨在识别香气化合物、它们的组合以及统计关系,以对产自被称为“风土”的特定小区域的葡萄酒进行分类和特征描述,这些区域具有土壤气候特征、葡萄品种、葡萄栽培方式、收获时间和酿酒工艺方面的共性。目标是加深对风土与葡萄酒典型性之间关系的理解。本研究基于葡萄酒酿造参数,分析了两个年份中三个酒庄使用佩德罗·希门尼斯白葡萄品种在同一质量区内不同风土种植的年轻葡萄酒的主要和次要挥发性化合物含量。运用多元变量分析(MVA)和主成分分析(PCA)等统计工具来识别葡萄酒挥发物组中的显著差异。PCA利用基于12种主要挥发性化合物和3种多元醇的绝对浓度计算出的前两个主成分的得分,有效地区分了来自每个风土和年份的葡萄酒。相反,基于52种次要挥发性化合物浓度的PCA显示出按年份对葡萄酒进行分类的强大能力。将两个年份葡萄酒的次要挥发性成分分为9个化学家族,这些成分提供了独特的指纹图谱,能够按风土区分葡萄酒。结果强调了温暖的原产地保护(PDO)产区内风土典型性的化学基础。