In this paper, we use inductively coupled plasma optical emission spectrometer (ICP-OES) to analyze 12 elements (Al, B, Ba, Ca, Cu, Fe, K, Li, Mg, Mn, Na and Sr) from 111 sparkling wine samples belonging to four countries (41 Brazilian, 42 Argentinean, 11 Spanish and 17 French). Element content was assessed through Linear Discriminant Analysis, Principal Component Analysis and Logistic Regression to determine the elements that better differentiate the samples according to their country of origin. B, K and Na provided 94% accurate classifications when samples from the four countries were categorized. Ca, K and Na perfectly stratified South American sparkling wines from the European ones. Brazilian and Argentinean samples were completely discriminated using a single element (Mn), whereas the B/K ratio provided a remarkable separation between Spanish and French samples. The identification of reduced subsets of elements contributes to prevent fraudulent practices in the sparkling wine industry.

本文使用电感耦合等离子体发射光谱仪（ICP-OES）分析了111种起泡酒中的12种元素（Al，B，Ba，Ca，Cu，Fe，K，Li，Mg，Mn，Na和Sr）样本来自四个国家（41个巴西，42个阿根廷，11个西班牙和17个法国）。通过线性判别分析，主成分分析和逻辑回归对元素含量进行评估，以确定根据样品原产国能够更好地区分样品的元素。当对来自四个国家的样本进行分类时，B，K和Na提供了94％的准确分类。钙，钾和钠完美地将欧洲起泡葡萄酒分层。巴西和阿根廷样品使用单一元素（Mn）进行了完全区分，而B / K比则使西班牙和法国的样本之间有明显的区别。对减少的元素子集的识别有助于防止起泡酒行业中的欺诈行为。