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生物样品中汞的电感耦合等离子体质谱分析与干扰校正方法

张灵火 马娜 陈海杰 张鹏鹏 胡梦颖 徐进力 白金峰

岩矿测试2025,Vol.44Issue(1):140-148,9.
岩矿测试2025,Vol.44Issue(1):140-148,9.DOI:10.15898/j.ykcs.202407020145

生物样品中汞的电感耦合等离子体质谱分析与干扰校正方法

Inductively Coupled Plasma-Mass Spectrometric Analysis of Mercury in Biological Samples and Interference Correction Methods

张灵火 1马娜 1陈海杰 1张鹏鹏 1胡梦颖 1徐进力 1白金峰1

作者信息

  • 1. 中国地质科学院地球物理地球化学勘查研究所,河北廊坊 065000||自然资源部地球化学探测重点实验室,河北廊坊 065000
  • 折叠

摘要

Abstract

It is difficult to directly and accurately determine Hg in biological samples using inductively coupled plasma-mass spectrometry(ICP-MS)due to polyatomic interferences,such as tungsten oxide,and matrix effects.We established an ICP-MS method for the determination of Hg in biological samples based on the kinetic energy discrimination(KED)mode combined with mathematical correction and internal standard correction.In this experiment,spectral interferences of Hg in standard(STD)mode and KED mode were investigated.202Hg was selected as the analyzed isotope in the KED mode,effectively reducing but not completely eliminating the interference.It was found that the interference amount of W with Hg was linearly related to the concentration of W(R2=0.9997).The matrix interference was eliminated with internal standard(Rh concentration of 50μg/L)and sample dilution(dilution of 100 times).The reliability of the method was tested with 9 reference materials,and the results were in agreement with certified values(or reference values).In particular,the accuracy of GBW10028(Astragalus membranaceus),GBW10025(spirulina)and GBW10015a(spinach)was significantly improved.The relative standard deviation(n=10)was 0.7%to 7.0%.The method is suitable for the analysis of Hg in biological samples.

关键词

生物样品//电感耦合等离子体质谱法/干扰校正

Key words

biological sample/mercury/inductively coupled plasma-mass spectrometry/interference correction

分类

化学化工

引用本文复制引用

张灵火,马娜,陈海杰,张鹏鹏,胡梦颖,徐进力,白金峰..生物样品中汞的电感耦合等离子体质谱分析与干扰校正方法[J].岩矿测试,2025,44(1):140-148,9.

基金项目

国家重点研发计划项目(2021YFC2903001) (2021YFC2903001)

中国地质调查局地质调查项目(DD20221770) (DD20221770)

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