Foreman William T, Williams Teresa L, Furlong Edward T, Hemmerle Dawn M, Stetson Sarah J, Jha Virendra K, Noriega Mary C, Decess Jessica A, Reed-Parker Carmen, Sandstrom Mark W
U.S. Geological Survey, Strategic Laboratory Science Branch, PO Box 25585, Denver, CO, USA.
U.S. Geological Survey, National Water Quality Laboratory, PO Box 25585, Denver, CO, USA.
Talanta. 2021 Jun 1;228:122139. doi: 10.1016/j.talanta.2021.122139. Epub 2021 Jan 29.
Spike- and blank-based procedures were applied to estimate the detection limits (DLs) for example analytes from inorganic and organic methods for water samples to compare with the U.S. Environmental Protection Agency's (EPA) Method Detection Limit (MDL) procedures (revisions 1.11 and 2.0). The multi-concentration spike-based procedures ASTM Within-laboratory Critical Level (DQCALC) and EPA's Lowest Concentration Minimum Reporting Level were compared in one application, with DQCALC further applied to many methods. The blank-based DLs, MDL (99th percentile) or MDL (= mean blank concentration + s × t), estimated using large numbers (>100) of blank samples often provide DLs that better approach or achieve the desired ≤1% false positive risk level compared to spike-based DLs. For primarily organic methods that do not provide many uncensored blank results, spike-based DQCALC or MDL rev. 2.0 are needed to simulate the blank distribution and estimate the DL. DQCALC is especially useful for estimating DLs for multi-analyte methods having very different analyte response characteristics. Time series plots of DLs estimated using different procedures reveal that DLs are dependent on the applied procedure, should not be expected to be static over time, and seem best viewed as falling over a range versus being a single value. Use of both blank- and spike-based DL procedures help inform this DL range. Data reporting conventions that censor data at a threshold and report "less than" that threshold concentration as the reporting level have unknown and potentially high false negative risk. The U.S. Geological Survey National Water Quality Laboratory's Laboratory Reporting Level (LRL) convention (applied primarily to organic methods) attempts to simultaneously minimize both the false positive and false negative risk when <LRL is reported and data between DL and the higher LRL are allowed to be reported.
采用基于加标和空白的方法来估算水样中无机和有机分析方法的示例分析物的检测限(DL),以便与美国环境保护局(EPA)的方法检测限(MDL)程序(修订版1.11和2.0)进行比较。在一次应用中,对基于多浓度加标的ASTM实验室内部临界水平(DQCALC)程序和EPA的最低浓度最低报告水平进行了比较,DQCALC进一步应用于多种方法。使用大量(>100)空白样品估算的基于空白的DL、MDL(第99百分位数)或MDL(=平均空白浓度 + s×t),与基于加标的DL相比,通常能提供更接近或达到所需的≤1%假阳性风险水平的DL。对于未提供许多未删失空白结果的主要有机方法,需要基于加标的DQCALC或MDL修订版2.0来模拟空白分布并估算DL。DQCALC对于估算具有非常不同分析物响应特征的多分析物方法的DL特别有用。使用不同程序估算的DL的时间序列图表明,DL取决于所应用的程序,不应期望其随时间保持不变,并且最好将其视为落在一个范围内,而不是一个单一值。同时使用基于空白和加标的DL程序有助于了解这个DL范围。在阈值处对数据进行删失并将“低于”该阈值浓度报告为报告水平的数据报告惯例具有未知且潜在的高假阴性风险。美国地质调查局国家水质实验室的实验室报告水平(LRL)惯例(主要应用于有机方法)试图在报告<LRL时同时将假阳性和假阴性风险降至最低,并允许报告DL与较高LRL之间的数据。