基于ICP-MS和ICP-OES矿质元素检测的中国马瑟兰葡萄酒产区和子产区鉴别

Identification of Chinese Marselan Wine Regions and Subregions Based on Detection of Mineral Elements by ICP-MS and ICP-OES

摘要:

本研究以采自中国不同葡萄酒产区和子产区的马瑟兰葡萄为原料酿造葡萄酒,通过矿质元素指纹图谱对葡萄酒进行产地溯源。采用电感耦合等离子体质谱法（Inductively coupled plasma-mass spectrometry,ICP-MS）和电感耦合等离子体光学发射光谱法（Inductively coupled plasma-optical emission spectrometry,ICP-OES）测定了 37 款马瑟兰葡萄酒中 29 种矿物元素含量。综合主成分分析、聚类分析和判别分析结果表明,不同产区的葡萄酒可很好地通过特征元素进行区分。通过主成分分析,各产区葡萄酒的聚合度较高,不同产区之间的分离明显（PC1和PC2的累计贡献率为59.8%）。通过聚类分析,葡萄酒可很好地聚类为3个主要产区。通过逐步判别分析筛选出12种特征元素（As、Sr、Mg、B、Li、U、Fe、Pb、Co、Be、Al、Ge）,其中Co、Sr、Tl和Pb对子产区的鉴别起着重要作用。

Abstract:

The quality characteristics of wine are not only determined by the grape variety but also closely related to the place of origin. The geographical origin and authenticity are also key factors affecting the commercial value of wine,which are of great importance to both producers and consumers. To identify the origin of wine,some rapid,accurate and cost-effective techniques have been developed,such as analyzing the mineral elements of wine. Using inductively coupled plasma-optical emission spectrometry (ICP-OES) and inductively coupled plasma-mass spectrometry (ICP-MS) for trace element analysis to identify the origin of wine has made multi-element detection more affordable and faster. Using Marselan grapes from different wine-growing regions and sub-regions in China to produce wines. The origin of the wines was identified through the fingerprinting of mineral elements. The content of 29 mineral elements in 37 Marselan wines was determined by using the ICP-MS and ICP-OES techniques. Combined principal component analysis (PCA),cluster analysis,and discriminant analysis revealed that different wine regions could be effectively discriminated based on characteristic elements. The wines from each region were highly aggregated,and the separation between different regions was distinct through PCA,with the cumulative contribution rate of PC1 and PC2 reaching 59.8%. Cluster analysis successfully grouped the wines into three major regions. Stepwise discriminant analysis identified 12 characteristic elements (As,Sr,Mg,B,Li,U,Fe,Pb,Co,Be,Al,Ge) that were crucial for origin tracing,among these,Co,Sr,Tl,and Pb played a vital role in the identification of subregions.