基于聚类分析和主成分分析的黄精无机元素特征图谱研究

Study on specific spectrum of inorganic elements in Polygonati Rhizoma based on cluster analysis and principal component analysis

中文关键词:  黄精  电感耦合等离子体质谱法  特征图谱  主成分分析  聚类分析

英文关键词:Polygonati Rhizoma  inductively coupled plasma-mass spectrometry  specific spectrum  principal component analysis  cluster analysis

中文摘要:

      目的 研究不同产地黄精中15种元素的含量, 建立黄精无机元素特征图谱, 并对其质量进行综合评价。方法 样品经微波消解后, 采用电感耦合等离子体质谱法测定, 并采用OriginPro 2021和SPSS 26.0对数据- 进行皮尔逊相关性分析、主成分分析和聚类分析。结果 26批黄精样品中Fe、Mn、Zn、Sr含量相对较高, 其中Fe含量为23.4~583.8 mg/kg; Mn含量为8.2~258.8 mg/kg; Zn含量为7.5~81.4 mg/kg; Sr含量为10.0~47.8 mg/kg; 5种重金属元素Pb、Cd、As、Hg、Cu均未超标, Cu的含量相对较高, 平均含量为3.8 mg/kg, 5种重金属元素含量整体变化趋势具有一致性。结论 黄精药材中各元素具有相似的分布形态, 具有特征性。主成分分析筛选出Cr、Fe、V、Cd、Mn、Sr是黄精的特征无机元素。26批黄精药材的质量差异相对较大, 样品中得分最高、质量最好的是浙江江山的黄精(S5~S8), 得分比较低的是四川和贵州的黄精药材(S9~S18)。聚类分析结果与黄精的产地一致。该研究方法可为黄精的质量控制和鉴别工作提供技术支持和参考。

英文摘要:

      Objective To study the content of 15 kinds of elements in Polygonati Rhizoma, establish the specific spectrum of inorganic elements in Polygonati Rhizoma, and comprehensively evaluate its quality. Methods After microwave digestion, samples were determined by inductively coupled plasma-mass spectrometry. Pearson correlation analysis, principal component analysis and clustering analysis were performed using OriginPro 2021 and SPSS 26.0 software. Results The quantities of Fe, Mn, Zn, Sr were relatively high in the 26 batches of Polygonati Rhizoma samples, the content of Fe was 23.4-583.8 mg/kg, the content of Mn was 8.2-258.8 mg/kg, the content of Zn was between 7.5-81.4 mg/kg, the content of Sr ranged from 10.0 to 47.8 mg/kg. The amount of the heavy metals (Pb, Cd, As, Hg, Cu) were below standard, the content of Cu was higher than that of other elements, the average content of Cu was 3.8 mg/kg, the overall variation trend of the 5 kinds of heavy metal elements was consistent. Conclusion The inorganic elements in Polygonati Rhizoma show similar element spectrum and its spectrum display species variation. The principal component analysis results show that elements such as Cr, Fe, V, Cd, Mn and Sr are the characteristic elements. The quality difference of 26 batches of Polygonati Rhizoma herbs is relatively large, the comprehensive score and quality of S5-S8 Polygonati Rhizoma samples from Jiangshan, Zhejiang Province are highest and best, and the lower score are S9-S18 samples from Sichuan and Guizhou Province. The results of cluster analysis are consistent with the origin of Polygonati Rhizoma. This method can provide technical support and reference for Polygonati Rhizoma quality control and identification work.