为了研究从灌溉水到土壤的稳定同位素的变化和分馏,葡萄,酒,δ2H,δ18O,使用水同位素分析仪测定了中国10个地区不同样品中的δ17O和δ17O。根据化学计量学分析,这些值在地区之间存在显着差异。所有同位素与灌溉水-土壤和葡萄酒均呈显着正相关。从灌溉水到土壤都观察到了显著的水同位素分馏效应,葡萄,和酒。与经度相关的稳定同位素分布特征,纬度,高度,温度,降水,站压力和风速。线性判别分析(LDA),随机森林(RF),支持向量机(SVM),和前馈神经网络(FNN)模型58.33-100%,80-100%,53.33-100%,和73.33-100%准确区分所有样本的地理来源的训练和测试数据,分别。这些发现为使用稳定同位素分析鉴定中国葡萄酒的地理起源提供了理论依据。
To investigate the variation and fractionation of stable isotopes from irrigation water to soil, grapes, and wine, δ2H, δ18O, and δ17O in different samples from 10 regions in China were determined using a water isotope analyser. The values were significantly different among regions according to the chemometric analysis. All isotopes were significantly and positively correlated with irrigation water-soil and grape-wine. A significant water isotopic fractionation effect was observed from the irrigation water to the soil, grapes, and wine. Stable isotope distribution characteristics correlated with longitude, latitude, altitude, temperature, precipitation, station pressure and wind speed. The linear discriminant analysis (LDA), random forest (RF), support vector machine (SVM), and feed-forward neural network (FNN) models 58.33-100 %, 80-100 %, 53.33-100 %, and 73.33-100 % accurate for distinguishing the geographical origins of all samples from training and test data, respectively. These findings provide a theoretical basis for authenticating the geographic origin of Chinese wines using stable isotope analysis.