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从土壤到葡萄与葡萄酒:中国不同地区元素分布的地理差异

From Soil to Grape and Wine: Geographical Variations in Elemental Profiles in Different Chinese Regions.

作者信息

Hao Xiaoyun, Gao Feifei, Wu Hao, Song Yangbo, Zhang Liang, Li Hua, Wang Hua

机构信息

College of Enology, Northwest A&F University, Yangling, Xianyang 712100, China.

Food Inspection and Quarantine Center, Shenzhen Customs, Shenzhen 518033, China.

出版信息

Foods. 2021 Dec 15;10(12):3108. doi: 10.3390/foods10123108.

Abstract

Elemental profiles are frequently applied to identify the geographical origin and authenticity of food products, to guarantee quality. The concentrations of fifteen major, minor, and trace elements (Na, Mg, K, Ca, Al, Fe, Mn, Cu, Zn, Rb, Sr, Li, Cd, Cs, and Ba) were determined in soils, "Meili" grapes, and wines from six regions in China by inductively coupled plasma mass spectrometry (ICP-MS). The elemental concentrations in these samples, according to the geographical origins, were analyzed by one-way analysis of variance (ANOVA) with Duncan's multiple comparisons. The bioconcentration factor (BCF) from soil to grape and the transfer factor (TF) from grape to wine were calculated. Mg, K, Ca, Cu, Zn, Rb, Sr, and Ba presented higher BCF values than the other seven elements. The TF values of six elements (Na, Mg, K, Zn, Li, and Cs) were found to be greater than one. Moreover, the correlation of element content between the pairs of soil-grape, grape-wine, and bioconcentration factor (BCF)-environmental factor were analyzed. Significant correspondences among soil, grape, and wine were observed for K and Li. Two elements (Sr and Li) showed significant correlations between BCF and environmental factor (relative humidity, temperature, and latitude). A linear discriminant analysis (LDA) with three variables (K, Sr, Li) revealed a high accuracy (>90%) to determine the geographical origin for different Chinese regions.

摘要

元素剖析经常被用于识别食品的地理来源和真伪,以保证质量。采用电感耦合等离子体质谱法(ICP-MS)测定了中国六个地区土壤、“梅里”葡萄和葡萄酒中15种主要、次要和微量元素(钠、镁、钾、钙、铝、铁、锰、铜、锌、铷、锶、锂、镉、铯和钡)的浓度。根据地理来源,对这些样品中的元素浓度进行单因素方差分析(ANOVA)和邓肯多重比较。计算了从土壤到葡萄的生物富集系数(BCF)和从葡萄到葡萄酒的转移系数(TF)。镁、钾、钙、铜、锌、铷、锶和钡的BCF值高于其他七种元素。发现六种元素(钠、镁、钾、锌、锂和铯)的TF值大于1。此外,还分析了土壤-葡萄、葡萄-葡萄酒以及生物富集系数(BCF)-环境因素之间元素含量的相关性。观察到钾和锂在土壤、葡萄和葡萄酒之间存在显著对应关系。两种元素(锶和锂)在BCF与环境因素(相对湿度、温度和纬度)之间显示出显著相关性。基于三个变量(钾、锶、锂)的线性判别分析(LDA)显示,确定中国不同地区地理来源的准确率较高(>90%)。

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