DuPont Crop Protection, Stine-Haskell Research Center, Newark, Delaware, USA.
J Environ Sci Health B. 2009 Sep;44(7):640-8. doi: 10.1080/03601230903163566.
An assessment of the error associated with conventional pesticide residue analysis has been conducted based on computer simulations and inter-laboratory residue analysis. Computational simulations were conducted based on (i) typical performance and regulatory acceptance criteria of analytical methods, and (ii) field residue distributions. In addition, field samples with incurred residues were sent to different private laboratories and the results compared. The relative difference in pesticide residues obtained when samples from the same field or produce lot are analyzed at separate laboratories was used to quantify the uncertainty associated with residue analyses performed using common analytical technology, and methods that are in compliance with current regulatory requirements. The study showed that differences of > 100% are common and should be expected when samples from the same crop are analyzed at different laboratories. The results also suggest that the error within residue measurements can be particularly detrimental when a result is reported near the maximum residue limit (MRL).
基于计算机模拟和实验室间残留分析，对常规农药残留分析相关误差进行了评估。计算模拟基于以下两个方面：（i）分析方法的典型性能和监管接受标准，以及（ii）田间残留分布。此外，还将带有残留的田间样本送到不同的私营实验室进行比较。当在不同实验室分析来自同一田间或同一批产品的样本时，所获得的农药残留的相对差异用于量化使用常见分析技术和符合当前监管要求的方法进行残留分析的不确定性。研究表明，当在不同实验室分析来自同一作物的样本时，差异>100%是常见的，并且应该预期。研究结果还表明，当报告结果接近最大残留限量（MRL）时，残留测量中的误差可能特别有害。
