电感耦合等离子体质谱仪工作参数对测定生物样品中汞的影响研究

    Impacts of inductively coupled plasma mass spectrometry operating parameters on mercury determination in biological samples

    • 摘要: 电感耦合等离子体质谱法(ICP-MS)作为生物样品中微量元素测定使用最广泛的技术之一,已广泛应用于测定生物样品中汞的研究中。生物样品中汞含量一般较低且ICP-MS测定过程中会受到钨的氧化物的干扰,因此仪器工作参数的选择直接影响测定的灵敏度和氧化物干扰程度,一定程度上还影响分析结果的质量。本文对ICP-MS射频功率、雾化气流量、辅助气流量、采样深度、氦气流量等仪器工作参数进行优化实验,以汞的灵敏度、钨的氧化物产率为主要参考指标,优选出仪器最佳的工作参数:射频功率1500 W、雾化气流量1.00 L/min、辅助气流量0.7 L/min、采样深度5 mm、氦气流量5 mL/min,对比发现雾化气流量和氦气流量对分析结果影响较大。基于此工作参数,汞的方法检出限为0.50×10-9,经多个生物成分分析标准物质验证,测定结果与标准值一致,相对标准偏差(RSDn=10)为1.03%~3.14%,说明本次优化结果测试数据质量可靠,该方法可用于实验室分析测试中。

       

      Abstract: Inductively coupled plasma mass spectrometry (ICP-MS), representing one of the most widely used techniques for measuring trace elements in biological samples, has been extensively applied in research on mercury determination. The mercury content in biological samples is generally low, and its determination by ICP-MS is susceptible to tungsten oxides. Consequently, selecting ICP-MS operating parameters directly affects the determination sensitivity, the degree of oxide interference, and, by extension, the quality of analysis results. This study conducted optimization experiments on key ICP-MS operating parameters, including RF power, nebulizer flow, auxiliary flow, sampling depth, and helium flow. Taking the mercury sensitivity and the productivity of tungsten oxides as the main reference indicators, the optimized parameters were determined as follows: RF power of 1 500 W, nebulizer flow of 1.00 L/min, auxiliary flow of 0.7 L/min, sampling depth of 5 mm, and helium flow of 5 mL/min. Comparative analysis revealed that the nebulizer and helium flow had the most significant influence on the analysis results. Based on the determined optimal operating parameters, the method detection limit for mercury was determined to be 0.50×10-9. The results were consistent with the results verified by several certified reference materials for the biological composition, with the relative standard deviation (RSD, n=10) ranging from 1.03% to 3.14%. This confirms the robustness of the optimized parameters and the applicability of the proposed method in laboratory analysis.

       

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