韩世明,李 志,王月霞,杨小艳.电感耦合等离子体质谱法同时检测贵州省芸豆中13种元素含量[J].食品安全质量检测学报,2022,13(4):1185-1192
电感耦合等离子体质谱法同时检测贵州省芸豆中13种元素含量
Simultaneous determination of 13 kinds of elements in Phaseolus vulgaris in Guizhou Province by inductively coupled plasma mass spectrometry
投稿时间:2021-11-05  修订日期:2022-01-23
DOI:
中文关键词:  芸豆  电感耦合等离子体质谱法  元素  主成分分析  聚类分析
英文关键词:Phaseolus vulgaris  inductively coupled plasma mass spectrometry  element  principal component analysis  cluster analysis
基金项目:六盘水师范学院高层次人才科研启动基金项目(LPSSYKYJJ201601)、六盘水师范学院院级科技创新团队项目(LPSSYKJTD201602)
作者单位
韩世明 六盘水市师范学院生物科学与技术学院 
李 志 六盘水市师范学院生物科学与技术学院;六盘水市口岸服务中心 
王月霞 六盘水市师范学院生物科学与技术学院 
杨小艳 六盘水市师范学院生物科学与技术学院 
AuthorInstitution
HAN Shi-Ming School of Biological Science and Technology, Liupanshui Normal University 
LI Zhi School of Biological Science and Technology, Liupanshui Normal University;Liupanshui Port Service Center 
WANG Yue-Xia School of Biological Science and Technology, Liupanshui Normal University 
YANG Xiao-Yan School of Biological Science and Technology, Liupanshui Normal University 
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中文摘要:
      目的 建立电感耦合等离子体质谱法(inductively coupled plasma mass spectrometry, ICP-MS)同时测定贵州芸豆主产地28份芸豆样品中Na、Mg、P、Ca、Cr、Mn、Fe、Cu、Zn、As、Cd、Hg、Pb 13种元素的定量分析方法。方法 采用主成分分析和聚类分析方法分析贵州芸豆中元素含量值, 标准化处理后进行综合评价。结果 13种元素在相应的质量浓度范围内线性关系良好, 相关系数(r2)均大于0.999, 检出限为0.0259~1.0211 μg/kg。采用该方法对大米(GBW10010a)、小麦(GBW10011a)进行测定, 其测定值均在真实值范围内, 且相对标准偏差(relative standard deviations, RSDs)均小于7.0%。主成分分析结果显示前5个主成分的累计方差贡献率为81.324%, 得出芸豆中的特征元素是Cr、Cu、Zn、As、Cd、Hg、Pb; 聚类分析将芸豆中13种元素分为三大类, 元素P聚为一类; Ca、Mg聚为一类; Na、Cr、Mn、Fe、Cu、Zn、As、Cd、Hg、Pb聚为一类, 这种聚类结果与芸豆生长过程的需要或外部环境作用相关。结论 该方法的检出限低、准确度好、稳定性和精密度高, 可以用于芸豆样品中元素的测定。
英文摘要:
      Objective To establish a quantitative analysis method for simultaneous determination of 13 kinds of elements including Na, Mg, P, Ca, Cr, Mn, Fe, Cu, Zn, As, Cd, Hg and Pb in 28 Phaseolus vulgaris samples from Guizhou Province by inductively coupled plasma mass spectrometry (ICP-MS). Methods The element content values of Phaseolus vulgariss in Guizhou were analyzed by principal component analysis and clustering analysis, and comprehensive evaluation was conducted after standardized treatment. Results The linear relationships of the 13 kinds of elements were good within the corresponding mass concentrations, with correlation coefficients (r2) greater than 0.999, and the limits of detection was 0.0259?1.0211 μg/kg. This method was applied to the determination of rice (GBW10010a) and wheat (GBW10011a), the measured values were within the true value ranges, and the relative standard deviations (RSDs) were less than 7.0%. The results of principal component analysis showed that the cumulative variance contribution rate of the first 5 principal components was 81.324%, indicating that the characteristic elements in Phaseolus vulgariss were Cr, Cu, Zn, As, Cd, Hg and Pb; the 13 kinds of elements in Phaseolus vulgaris were divided into 3 categories by clustering analysis, and element P was grouped into one category, Ca and Mg were clustered into one class; Na, Cr, Mn, Fe, Cu, Zn, As, Cd, Hg and Pb were clustered into one class, and the clustering result was related to the requirement of Phaseolus vulgaris growth process or the action of external environment. Conclusion This method has the advantages of low detection limit, good accuracy, high stability and precision, and can be used for the determination of elements in Phaseolus vulgaris samples.
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