All measurements have uncertainty and they are not absolute. Therefore, identification, determination and evaluation of critical influencing factors based on recent approaches are important and necessary. Laboratories shall identify and evaluate all components and contributions to measurement uncertainty. In this article, two different approaches for evaluation of measurement uncertainty of arsenic in rice are studied and compared. These different approaches are GUM approach and Monte Carlo approach. The results clarified, evaluated uncertainty for the measurand was the same in the GUM and MCA, statistically and it is clarified that evaluated uncertainty by these approaches have no significant difference.

所有测量均具有不确定性，并且不是绝对的。因此，基于最新方法的关键影响因素的识别，确定和评估非常重要和必要。实验室应识别和评估所有组件以及对测量不确定度的影响。在本文中，研究和比较了两种不同的评估水稻中砷测量不确定度的方法。这些不同的方法是GUM方法和Monte Carlo方法。从统计上看，结果明确了被测量物的不确定度在GUM和MCA中是相同的，并且澄清了通过这些方法评估的不确定度没有显着差异。