摘要
目的对微波消解-电感耦合等离子体质谱法(inductively coupled plasma mass spectrometry, ICP-MS)测定豆制品铝含量中可能引入的不确定度进行分析和评定。方法根据CNAS-CL01-G003:2019对测定不确定度的相关要求,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。结果当铝含量为39.56 mg/kg时,扩展不确定度为2.02 mg/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0.019662、0.002046、0.00274下降为0.010085、0.001520、0.00166。结论改进方法效果显著,达到了降低影响结果准确性因素的目的。
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.
作者
黄姗
刘越
HUANG Shan;LIU Yue(Henan Port Food Inspection and Testing Institute,Zhengzhou 450002,China)
出处
《食品安全质量检测学报》
CAS
2020年第18期6334-6339,共6页
Journal of Food Safety and Quality
基金
国家自然科学基金项目(21577042)。
关键词
不确定度
电感耦合等离子体质谱法
豆制品
铝
方法改进
uncertainty
inductively coupled plasma mass spectrometry
soybean products
aluminum
method improvement
