期刊文献+

电感耦合等离子体质谱法测定人体尿液中24种元素

Determination of 24 elements in human urine by inductively coupled plasma mass spectrometry method
原文传递
导出
摘要 目的采用电感耦合等离子体质谱技术(inductively coupled plasma mass spectrometry,ICP-MS)开发一种同时测定人体尿液中24种元素的方法。方法采用内标法进行校正,探讨内标元素的选择和稳定性,优化后方法有效克服了基体效应和信号漂移所产生的影响。结果24种元素在校准曲线浓度范围内具有良好的线性关系,相关系数(r值)均≥0.9995。方法应用于实际样品加标回收,24种元素平均回收率为84.8%~108.0%,6次平行测定值的相对标准偏差在1.34%~6.77%。对标准尿样质控物质L-1和L-2进行测定,测定结果均在标准值范围内。结论该方法操作简便且灵敏度高,准确性好,为人群重金属监测等研究提供技术基础。 Objective To develop a method for the simultaneous determination of 24 elements in human urine using inductively coupled plasma mass spectrometry(ICP-MS).Methods The internal standard method was used to correct the errors,and the selection and stability of the internal standard elements were discussed.The optimized method effectively overcame the effects of matrix effects and signal drift.Results The 24 elements had good linear relationship in the concentration range of calibration curve,and the correlation coefficients(r)were all≥0.9995.The average recovery of 24 elements was 84.8%-108.0%,and the relative standard deviation of 6 parallel determinations was 1.34%-6.77%.The standard urine quality control substances L-1 and L-2 were determined and the results were within the standard value range.Conclusion The method is simple,sensitive and accurate,which provides a technical basis for the study of heavy metal monitoring in population.
作者 王超 阮莎莎 袁冠湘 林凯 姜杰 张毅 WANG Chao;RUAN Shasha;YUAN Guanxiang;LIN Kai;JIANG Jie;ZHANG Yi(Chemical Analysis&Physical Testing Institute,Shenzhen Center for Disease Control and Prevention,Shenzhen Guangzhou,518055,China;School of Materials and Environmental Engineering,Shenzhen Polytechnic University,Shenzhen Guangzhou,518055,China)
出处 《职业与健康》 CAS 2024年第7期874-879,共6页 Occupation and Health
基金 国家重点研发计划项目(2019YFC1605100) 深圳市医学重点学科建设(SZXK066)。
关键词 电感耦合等离子体质谱 尿液 元素 内标校正 Inductively coupled plasma mass spectrometry Urine Element Internal standard correction
  • 相关文献

参考文献15

二级参考文献103

共引文献138

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部