PaSOC, Kimswerd 8821 LV, The Netherlands.
Wageningen Environmental Research, Wageningen 6708 PB, The Netherlands.
Environ Sci Technol. 2024 Apr 16;58(15):6772-6780. doi: 10.1021/acs.est.3c10272. Epub 2024 Apr 5.
The quality of chemical analysis is an important aspect of passive sampling-based environmental assessments. The present study reports on a proficiency testing program for the chemical analysis of hydrophobic organic compounds in silicone and low-density polyethylene (LDPE) passive samplers and hydrophilic compounds in polar organic chemical integrative samplers. The median between-laboratory coefficients of variation (CVs) of hydrophobic compound concentrations in the polymer phase were 33% (silicone) and 38% (LDPE), similar to the CVs obtained in four earlier rounds of this program. The median CV over all rounds was 32%. Much higher variabilities were observed for hydrophilic compound concentrations in the sorbent: 50% for the untransformed data and a factor of 1.6 after log transformation. Limiting the data to the best performing laboratories did not result in less variability. Data quality for hydrophilic compounds was only weakly related to the use of structurally identical internal standards and was unrelated to the choice of extraction solvent and extraction time. Standard deviations of the aqueous concentration estimates for hydrophobic compound sampling by the best performing laboratories were 0.21 log units for silicone and 0.27 log units for LDPE (factors of 1.6 to 1.9). The implications are that proficiency testing programs may give more realistic estimates of uncertainties in chemical analysis than within-laboratory quality control programs and that these high uncertainties should be taken into account in environmental assessments.
化学分析质量是基于被动采样的环境评估的一个重要方面。本研究报告了一项针对疏水性有机化合物在硅树脂和低密度聚乙烯(LDPE)被动采样器中的化学分析以及亲水性化合物在极性有机化学综合采样器中的化学分析的能力验证计划。聚合物相中疏水性化合物浓度的实验室间变异系数(CV)的中位数为 33%(硅树脂)和 38%(LDPE),与该计划前四轮获得的 CV 相似。所有轮次的 CV 中位数为 32%。在吸附剂中亲水性化合物浓度的变异性更高:未转换数据的 50%,转换后为 1.6 倍。将数据限制在表现最好的实验室并没有降低变异性。亲水性化合物的数据质量与使用结构相同的内标物弱相关,与提取溶剂和提取时间的选择无关。表现最好的实验室对疏水性化合物采样的水相浓度估计的标准偏差为硅树脂的 0.21 个对数单位和 LDPE 的 0.27 个对数单位(1.6 到 1.9 倍)。这意味着能力验证计划可能比实验室内部质量控制计划更能真实地估计化学分析的不确定性,并且这些高不确定性应在环境评估中加以考虑。