三种基质中15种农药及其代谢物的不确定度评估

依据GB 23200.113—2018《食品安全国家标准 植物源性食品中208种农药及其代谢物残留量的测定 气相色谱-质谱联用法》中的QuEChERS方法，建立了一种气相色谱-串联质谱法 (GC-MS/MS) 测定茶叶、普通白菜和苹果3种基质中15种农药及其代谢物残留量的数学模型，通过分析测定过程的主要不确定度来源，对各个分量进行评估。结果表明:工作曲线拟合和回收率所引入的不确定度较大，其次为标准溶液配制和样品制备，而测量重复性和仪器引入的不确定度相对较小；不同基质对工作曲线拟合、回收率和测量重复性所引入的不确定度存在一定差异；不匹配基质校正曲线会对部分农药造成一定程度的基质增强或抑制效应。该方法适用于GC-MS/MS法测定植物源性食品中农药残留量的不确定度评估，可为农药残留测量结果的准确性提供科学可靠的依据。

Uncertainty evaluation for determination of 15 pesticides and metabolites residues in 3 matrices

According to the QuEChERS pretreatment in GB 23200.113—2018 national food safety standard-Determination of 208 pesticides and metabolites residues in foods of plant origin-Gas chromatography-tandem mass spectrometry method, a mathematical model was established for the determination of 15 pesticides and metabolites residues in tea, cabbage and apple by gas chromatography-tandem mass spectrometry (GC-MS/MS), and the uncertainty was evaluated by analyzing the main sources of uncertainty. The results indicate that the values of expanded uncertainty caused by working curve and recovery are larger than the preparation process of standard solution and sample, however, repeatability and instrument caused minimum expanded uncertainty, and there are differences among the uncertainty caused by working curve, recovery and repeatability for different matrix. Mismatched matrix working curves could enhance or inhibit the matrix effects of some pesticides. This study not only applies to the uncertainty evaluation of pesticides and metabolites residues in foods of plant origin by GC-MS/MS but also provides a scientific and reliable reference for the accuracy of pesticide residue data.