Statistical interpretation of the concentrations of 42 elements, determined using solution-based inductively coupled plasma mass spectrometry (ICP-MS) analysis and multivariate statistical methods, such as principal components analysis (PCA), was used to establish the provenance of pakchoi (Brassica rapa L. ssp. chinensis) from 6 areas in Ha Noi, Vietnam. Although pakchoi is widely cultivated and manufactured, no universal method is used to discriminate the origin of this vegetable. Our study introduced for the first time a method to classify pakchoi in small geographical areas. 42 metallic elements of pakchoi were detected by ICP-MS, which were further analyzed using multivariate statistical analysis to perform clusters based on the geographical locations. Eleven elements, i.e., ²⁸Si; ⁵⁶Fe; ⁵⁹Co; ⁶³Cu; ⁶⁹Ga; ⁷⁵As; ⁸⁵Rb; ⁹³Nb; ¹⁰⁷Ag; ¹¹⁸Sn, and ¹³⁷Ba, were identified as discriminators to distinguish pakchoi from those areas. Results from this study presented a new method to discriminant the geographical origins of pakchoi, which could apply to other types of vegetables on the food market.

中文翻译：

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ICP-MS对小白菜的多元素分析及其根据小地理起源的分类

42种元素的浓度的统计学解释，使用基于溶液的电感耦合等离子体质谱（ICP-MS）分析和多变量统计方法，如主成分分析（PCA）来确定，被用来建立小白菜种源（芜菁L. SSP。羊草在河内，越南6个区）。尽管小菜已被广泛种植和生产，但并未使用通用方法来区分这种蔬菜的来源。我们的研究首次引入了在小地理区域对小菜进行分类的方法。ICP-MS检测了42种小菜中的金属元素，并使用多元统计分析对它们进行了进一步分析，以根据地理位置进行聚类。十一要素，即²⁸ Si；⁵⁶铁; ⁵⁹ Co; ⁶³铜; ⁶⁹ Ga；⁷⁵ As; ⁸⁵ Rb; ⁹³ Nb；¹⁰⁷银；¹¹⁸ Sn和¹³⁷ Ba被认为是区分小菜与那些地区的鉴别剂。这项研究的结果提出了一种判别小菜地理起源的新方法，该方法可应用于食品市场上的其他类型的蔬菜。