湖北农业科学 ›› 2026, Vol. 65 ›› Issue (10): 209-217.doi: 10.14088/j.cnki.issn0439-8114.2026.10.030

• 检测分析 • 上一篇    下一篇

ICP-MS法测定莪术中32种金属元素含量及其相关性分析和重金属污染评价

昝川南, 刘常凯, 莫东淑   

  1. 广西—东盟食品检验检测中心[国家市场监督管理总局技术创新中心(天然香料香精)],南宁 530021
  • 收稿日期:2026-03-10 出版日期:2026-10-25 发布日期:2026-10-23
  • 作者简介:昝川南(1985-),男,四川广元人,副主任技师,主要从事食品科学与加工及其标准化研究,(电话)13607710280(电子信箱)63751220@qq.com 通信作者:刘常凯(1986-),女,广西南宁人,高级工程师,主要从事食品质量安全与评价研究,(电话)17776678369(电子信箱)373719196 @qq.com。
  • 基金资助:
    广西壮族自治区科技厅项目(桂科AB24010026); 广西壮族自治区中医药局多学科交叉创新团队建设项目(GZKJ2307)

Determination of the contents of 32 metallic elements in Curcuma phaeocaulis by ICP-MS method,analysis of their correlations, and evaluation of heavy metal pollution

ZAN Chuan-nan, LIU Chang-kai, MO Dong-shu   

  1. Guangxi-ASEAN Food Inspection and Testing Center [Technology Innovation Center(Natural Flavors and Fragrances), State Administration for Market Regulation], Nanning 530021,China
  • Received:2026-03-10 Published:2026-10-25 Online:2026-10-23

摘要: 建立电感耦合等离子体质谱法(ICP-MS)测定莪术(Curcuma phaeocaulis Valeton)中32种金属元素含量及元素间相关性和污染情况的分析方法,为中药材重金属元素监管提供参考依据。采用微波消解法对样品进行前处理,电感耦合等离子体质谱法测定莪术中32种金属元素含量,同时运用SPSS 统计软件对结果进行主成分分析和相关性分析,并对金属污染进行评价。结果表明,32种元素线性关系良好,相关系数r2>0.994,检出限在0.000 1~1.195 9 mg/kg, 加标回收率为97.15%~108.24%,RSD为1.61%~10.72%。相关性分析结果表明元素之间多数呈极显著正相关。主成分分析表明常量元素Fe、Ge、Mn、Cu、Zn、Hg是莪术特征元素,可用于质量控制。根据重金属污染评价Cd污染指数,有2/3样品属于轻度及以上污染,表明Cd是该地区莪术重金属污染的主要贡献元素。

关键词: 莪术(Curcuma phaeocaulis Valeton), 电感耦合等离子体质谱(ICP-MS), 元素含量, 相关性分析, 重金属污染评价

Abstract: An inductively coupled plasma-mass spectrometry (ICP-MS) analytical method for determining the contents of 32 metallic elements, assessing their inter-element correlations, and evaluating contamination levels in Curcuma phaeocaulis was established, thereby providing a reference basis for the regulatory oversight of heavy metal elements in traditional Chinese medicinal materials. The samples were pre-treated using the microwave digestion method, and the contents of 32 metallic elements in Curcuma phaeocaulis were determined by inductively coupled plasma-mass spectrometry (ICP-MS); simultaneously, SPSS statistical software was employed to perform principal component analysis and correlation analysis on the results, and to evaluate the degree of metal contamination. The results showed that there were strong linear relationships among the 32 elements, with correlation coefficients r2>0.994, detection limits ranging from 0.000 1 mg/kg to 1.195 9 mg/kg, addition recovery rates ranging from 97.15% to 108.24%, and RSD values ranging from 1.61% to 10.72%. The correlation analysis results indicated that most of the elements exhibited highly significant positive correlations with one another. Principal component analysis indicated that the trace elements Fe, Ge, Mn, Cu, Zn, and Hg were characteristic elements of Curcuma phaeocaulis and could be utilized for quality control. According to the heavy metal pollution assessment using the Cd contamination index, 2/3 of the samples exhibited mild or more severe pollution, indicating that Cd was the primary contributing element to heavy metal pollution in this region.

Key words: Curcuma phaeocaulis, inductively coupled plasma-mass spectrometry (ICP-MS), element content, correlation analysis, heavy metal pollution assessment

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