电感耦合等离子质谱法测定豆制品中铝含量的不确定度评定及方法改进

本文采用微波消解-电感耦合等离子体质谱法（ICP-MS）测定豆制品中铝的含量，对测定过程中可能引入的不确定度进行分析和评定。根据CNAS-CL01-G003:2019对测定不确定度的有关要求，建立了不确定度评定的数学模型，分析不确定度的主要来源，并将各分量进行合成。当铝含量为39.56mg/kg时，扩展不确定度为2.51mg/kg(k=2)。针对引起测定不确定度的主要贡献者，通过几种改变测量方法的途径，使其中3 个主要分量分别从0. 019 662、0. 002 412、0.002 74下降为0. 010 085、 0. 001 520、0. 001 66，效果显著，达到了降低影响结果准确性因素的目的。

Evaluation and improvement of uncertainty in determination of aluminum in soy products by inductively coupled plasma mass spectrometry

Objective To analysis and evaluate the uncertainty in the determination of the aluminum content in soybean products by microwave digestion-inductively coupled plasma mass spectrometry (ICP-MS). Methods According to the relevant requirements of CNAS-CL01-G 003: 2019 for measuring uncertainty, a mathematical model for uncertainty assessment was established, the main sources of uncertainty were analyzed, and the components were synthesized. Results When the aluminum content was 39.56 mg/kg, the expanded uncertainty was 2.02 mg/kg (k=2). For the main contributors that caused measurement uncertainty, three of the main components were reduced from 0.019662, 0.002046, 0.00274 to 0.010085, 0.001520, 0.00166 through several ways to change the measurement method. Conclusion The effect of the improved method is significant, which achieves the purpose of reducing the factors that affect the accuracy of the results.