Nguyen-Quang Trung, Do-Hoang Giang, Truong-Ngoc Minh
Vietnam Academy of Science and Technology (VAST), Center for Research and Technology Transfer (CRETECH), 18 Hoang Quoc Viet Road, 100000 Hanoi, Vietnam.
Vietnam Academy of Science and Technology (VAST), Institute of Applied Mechanics and Informatics, 18 Hoang Quoc Viet Road, 100000 Hanoi, Vietnam.
J Anal Methods Chem. 2021 Feb 9;2021:8860852. doi: 10.1155/2021/8860852. eCollection 2021.
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 ( L. ssp. ) 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., Si; Fe; Co; Cu; Ga; As; Rb; Nb; Ag; Sn, and Ba, 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.
采用基于溶液的电感耦合等离子体质谱（ICP-MS）分析和多元统计方法（如主成分分析（PCA））对42种元素的浓度进行统计解释，以确定越南河内6个地区小白菜（L. ssp.）的产地。尽管小白菜广泛种植和加工，但尚无通用方法来鉴别这种蔬菜的产地。我们的研究首次引入了一种在小地理区域内对小白菜进行分类的方法。通过ICP-MS检测小白菜中的42种金属元素，并使用多元统计分析进一步分析，以根据地理位置进行聚类。确定了11种元素，即硅（Si）、铁（Fe）、钴（Co）、铜（Cu）、镓（Ga）、砷（As）、铷（Rb）、铌（Nb）、银（Ag）、锡（Sn）和钡（Ba），作为区分这些地区小白菜的判别因子。本研究结果提出了一种鉴别小白菜地理来源的新方法，该方法可应用于食品市场上的其他蔬菜类型。
