Huang Lina, Hu Yi, Li Guanwei, Ouyang Caiding, Yi Lezhou, Wu Shanshan, Zhu Zhenhai, Ma Tongmei
Quality and Standards Academy, Shenzhen Technology University, Shenzhen, China.
Institute for Advanced Study, Shenzhen University, Shenzhen, China.
Front Chem. 2023 Sep 18;11:1191669. doi: 10.3389/fchem.2023.1191669. eCollection 2023.
To improve the quantitative detection efficiency of chemical analysis and reduce the detection cost, the sample pass rate was estimated and mathematical statistics were used to calculate the optimal group size ( ) of the composite testing to save on the maximum workload. A quantitative composite testing model was developed based on chemical analysis measurement uncertainty. Using this model, the maximum allowable number of composited samples ( ) is first calculated using parameters of regulated limits (), limit of quantification (), and method measured uncertainty ( ) to ensure that the sensitivity of the composite testing can meet the limit requirements. Finally, the appropriate composite group size ( ) can be obtained by creating a balance between , , and the practical information used for that particular test. Furthermore, based on a constructed model, a practical quantitative composite testing method of 3-10 samples was established for the routine detection of toy phthalates (PAEs). The experimental results showed that the quantitative limits of 7 PAEs were 9.1-41.8 mg/kg, the relative expansion uncertainties were 16.6%-23.2%, and the recovery rates were 91.0%-112.3%, with a relative deviation of less than 10%. All these meet international PAEs standards. Compared with the traditional individual and qualitative composite testing, this model will not decrease the detection sensitivity, but can save up to 17.9%-80.4% of the workload when it is employed in toy PAEs testing with the pass rate of 80%-99%. This quantitative composite testing method will be implemented in the coming revision of ISO 8124-6 toy PAEs standards.
为提高化学分析的定量检测效率并降低检测成本，估算了样品通过率，并采用数理统计方法计算复合检测的最佳组群大小（ ），以最大程度节省工作量。基于化学分析测量不确定度建立了定量复合检测模型。利用该模型，首先根据规定限值（ ）、定量限（ ）和方法测量不确定度（ ）的参数计算复合样品的最大允许数量（ ），以确保复合检测的灵敏度能够满足限值要求。最后，通过在 、 和该特定检测所使用的实际信息之间建立平衡，可获得合适的复合组群大小（ ）。此外，基于构建的模型，针对玩具邻苯二甲酸酯（PAEs）的常规检测建立了一种实用的3至10个样品的定量复合检测方法。实验结果表明，7种PAEs的定量限为9.1至41.8 mg/kg，相对扩展不确定度为16.6%至23.2%，回收率为91.0%至112.3%，相对偏差小于10%。所有这些均符合国际PAEs标准。与传统的单独检测和定性复合检测相比，该模型不会降低检测灵敏度，在玩具PAEs检测中，当样品通过率为80%至99%时，采用该模型可节省高达17.9%至80.4%的工作量。这种定量复合检测方法将在即将修订的ISO 8124-6玩具PAEs标准中实施。
