首页> 外文期刊>Journal of Environmental Science and Health, Part B: Pesticides, Food Contaminants, and Agricultural Wastes >Error propagation in pesticide residue measurements estimated by computational simulations and inter-laboratory sample analysis
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Error propagation in pesticide residue measurements estimated by computational simulations and inter-laboratory sample analysis

机译:通过计算模拟和实验室间样品分析估算农药残留量中的误差传播

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摘要

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).
机译: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的误差进行了评估。基于(i)分析方法的典型性能和法规接受标准以及(ii)现场残留物分布进行了计算模拟。此外,将带有残留物的田间样品发送到不同的私人实验室,并对结果进行比较。在同一实验室或同一批次的样品在不同的实验室进行分析时所获得的农药残留量的相对差异用于量化与使用常规分析技术和符合当前法规要求的方法进行的残留物分析相关的不确定性。研究表明,差异> 100%是常见的,并且在不同实验室对同一农作物的样品进行分析时,应该可以预期到差异。结果还表明,当报告的结果接近最大残留限量(MRL)时,残留量测量中的误差可能特别有害。

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