Department of Biotechnical and Clinical Laboratory Sciences, University at Buffalo, State University of New York, Buffalo, NY 14214, USA.
Epidemiology. 2010 Jul;21 Suppl 4:S4-9. doi: 10.1097/EDE.0b013e3181ce9a61.
Problems in the analysis of laboratory data commonly arise in epidemiologic studies in which biomarkers subject to lower detection thresholds are used. Various thresholds exist including limit of detection (LOD), limit of quantification (LOQ), and limit of blank (LOB). Choosing appropriate strategies for dealing with data affected by such limits relies on proper understanding of the nature of the detection limit and its determination. In this paper, we demonstrate experimental and statistical procedures generally used for estimating different detection limits according to standard procedures in the context of analysis of fat-soluble vitamins and micronutrients in human serum.
Fat-soluble vitamins and micronutrients were analyzed by high-performance liquid chromatography with diode array detection. A simulated serum matrix blank was repeatedly analyzed for determination of LOB parametrically by using the observed blank distribution as well as nonparametrically by using ranks. The LOD was determined by combining information regarding the LOB with data from repeated analysis of standard reference materials (SRMs), diluted to low levels; from LOB to 2-3 times LOB. The LOQ was determined experimentally by plotting the observed relative standard deviation (RSD) of SRM replicates compared with the concentration, where the LOQ is the concentration at an RSD of 20%.
Experimental approaches and example statistical procedures are given for determination of LOB, LOD, and LOQ. These quantities are reported for each measured analyte.
For many analyses, there is considerable information available below the LOQ. Epidemiologic studies must understand the nature of these detection limits and how they have been estimated for appropriate treatment of affected data.
在使用检测下限较低的生物标志物的流行病学研究中,实验室数据的分析通常会出现问题。存在各种阈值,包括检测下限 (LOD)、定量下限 (LOQ) 和空白下限 (LOB)。选择适当的策略来处理受此类限制影响的数据,依赖于对检测下限的性质及其确定的正确理解。本文展示了根据人血清中脂溶性维生素和微量营养素分析的标准程序,通常用于根据标准程序估计不同检测下限的实验和统计程序。
使用高效液相色谱法和二极管阵列检测分析脂溶性维生素和微量营养素。通过对模拟血清基质空白进行重复分析,使用观察到的空白分布通过参数确定 LOB,使用秩通过非参数确定 LOB。通过将 LOB 信息与重复分析标准参考物质 (SRM) 的数据相结合来确定 LOD,将 SRM 稀释至低水平;从 LOB 到 2-3 倍 LOB。通过绘制观察到的 SRM 重复品相对于浓度的相对标准偏差 (RSD) 实验确定 LOQ,LOQ 是 RSD 为 20%时的浓度。
给出了确定 LOB、LOD 和 LOQ 的实验方法和示例统计程序。这些数量报告给每个测量的分析物。
对于许多分析,在 LOQ 以下有相当多的信息。流行病学研究必须了解这些检测下限的性质以及如何为受影响数据的适当处理估计它们。