研究了按产地评估葡萄酒真实性的特征,根据葡萄酒的矿物成分之间的关系,葡萄,和赤霞珠葡萄生长地点的土壤剖面(0至160厘米)。土壤,葡萄,葡萄酒样本取自克拉斯诺达尔地区阿纳帕区的六个葡萄园,俄罗斯。使用ICP-OES的方法,热,和X射线相位分析,土壤分为三组,矿物学和矿物成分不同。第一组的土壤样品含有高达31%的石英,第二组高达25%的石英和19%的混合方解石,和第三组高达32%的方解石和15%的石英。研究了葡萄元素图像的形成,考虑到土壤中金属的总含量和移动形式。葡萄园的地域邻近并不影响从土壤中提取元素到葡萄浆果中,每个地区的金属迁移都是选择性的。根据生物吸收系数的值,估计了金属从土壤到浆果的过渡程度。对于K,Ti,Zn,Rb,Cu,所有浆果中都有铁,系数高于1.00,这意味着浆果提取物不仅含有流动形式,还有难以溶解的金属化合物。宏观组分从土壤到浆果的迁移量很低,钙占6-7%,Na为0.8-3.0%,和25-70%的Mg的浓度的他们的移动形式。对于所有领土,从0-40厘米的深度观察到葡萄和土壤中金属浓度之间的最大相关性。基于Rb浓度的判别模型,Al,K,Sr,Co,Na,Pb,Ca,Ni显示了葡萄园种植区域中集群的形成。开发的模型可以高精度地解决按地区识别葡萄酒的问题,使用他们的元素形象。
The features for assessing the authenticity of wines by region of origin are studied, based on the relationship between the mineral composition of the wine, the grapes, and the soil profile (0 to 160 cm) from the place of growth of Cabernet Sauvignon grapes. Soil, grape, and wine samples were taken from the territories of six vineyards in the Anapa district of Krasnodar Territory, Russia. Using the methods of ICP-OES, thermal, and X-ray phase analysis, the soils were differentiated into three groups, differing in mineralogical and mineral compositions. The soil samples of the first group contained up to 31% quartz, the second group up to 25% quartz and 19% mixed calcite, and the third group up to 32% calcite and 15% quartz. The formation of the elemental image of the grapes was studied, taking into account the total content and mobile forms of metals in the soil. The territorial proximity of the vineyards did not affect the extraction of elements from the soil into the grape berry, and the migration of metals for each territory was selective. According to the values of the biological absorption coefficient, the degree of transition of metals from the soil to a berry was estimated. For K, Ti, Zn, Rb, Cu, and Fe in all berries, the coefficient was higher than 1.00, which means that the berry extracts contained not only mobile-form, but also difficult-to-dissolve metal compounds. The migration of macro-components from the soil to the berry was low, and amounted to 6-7% for Ca, 0.8-3.0% for Na, and 25-70% for Mg of the concentration of their mobile forms. For all territories, the maximum correlation between metal concentrations in grapes and soil was observed for samples from a depth of 0-40 cm. The discriminant model based on concentrations of Rb, Al, K, Sr, Co, Na, Pb, Ca, and Ni showed the formation of clusters in the territories of vineyard cultivation. The developed model allow the problems of identifying wines by region to be solved with high accuracy, using their elemental image.