Multi-Element Analysis and Origin Discrimination of Panax notoginseng Based on Inductively Coupled Plasma Tandem Mass Spectrometry (ICP-MS/MS)

Molecules

Jiangchao Zhao¹  Mohammad Rizwan Khan²  Rui Shi³  Qin Zhang⁴  Zhiqiang Wu⁴  Juan Li⁴  Xingyu Wang⁴  Yuxin Xie⁴  Rosa Busquets⁵  Shusheng Zhu⁶  Youyong Zhu⁶  Chao Ji⁶  Jinyu Liu⁶  Wenjie Zheng⁶  Xiahong He⁶  Xing Ma⁷ 

[1] Department of Animal Science, Division of Agriculture, University of Arkansas, Fayetteville, AR 72701, USA;Department of Chemistry, College of Science, King Saud University, Riyadh 11451, Saudi Arabia;Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Landscape Architecture Engineering Research Center of National Forestry and Grassland Administration, Southwest Forestry University, Kunming 650224, China;Laboratory for Quality Control and Traceability of Food and Agricultural Products, Tianjin Normal University, Tianjin 300387, China;School of Life Sciences, Pharmacy and Chemistry, Kingston University London, Penrhyn Road, Kingston upon Thames KT1 2EE, UK;State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, National Engineering Research Center for Applied Technology of Agricultural Biodiversity, College of Plant Protection, Yunnan Agricultural University, Kunming 650201, China;The Animal, Plant & Foodstuff Inspection Center, Tianjin Customs, Tianjin 300387, China;

关键词: Panax notoginseng;    ICP-MS/MS;    multi-element;    origin discrimination;    cultivation model discrimination;   

DOI  :  10.3390/molecules27092982

来源: DOAJ

【 摘 要 】

Panax notoginseng is an important functional health product, and has been used worldwide because of a wide range of pharmacological activities, of which the taproot is the main edible or medicinal part. However, the technologies for origin discrimination still need to be further studied. In this study, an ICP-MS/MS method for the accurate determination of 49 elements was established, whereby the instrumental detection limits (LODs) were between 0.0003 and 7.716 mg/kg, whereas the quantification limits (LOQs) were between 0.0011 and 25.7202 mg/kg, recovery of the method was in the range of 85.82% to 104.98%, and the relative standard deviations (RSDs) were lower than 10%. Based on the content of multi-element in P. notoginseng (total of 89 mixed samples), the discriminant models of origins and cultivation models were accurately determined by the neural networks (prediction accuracy was 0.9259 and area under ROC curve was 0.9750) and the support vector machine algorithm (both 1.0000), respectively. The discriminant models established in this study could be used to support transparency and traceability of supply chains of P. notoginseng and thus avoid the fraud of geographic identification.

【 授权许可】

Unknown