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首页> 外文会议>IMEKOFOODS Conference >P39: UNCERTAINTY AT VERY LOW ANALYTICAL LEVELS - THE PROBABILISTIC APPROACH
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P39: UNCERTAINTY AT VERY LOW ANALYTICAL LEVELS - THE PROBABILISTIC APPROACH

机译：P39：在非常低的分析水平下的不确定性 - 概率方法

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摘要

Chemical metrology is a specific field where the process in order to achieve a traceable and comparable results is difficult to be standardized. Moreover, a more holistic approach is required for the evaluation of their reliability. On the other hand, a continuous increasing number of contaminants are intended to be determined in foods and for a high percentage of them e.g. the more toxic, at very low quantification levels. At these low levels, close to detection, the classical way of GUM using statistical techniques for the determination of uncertainty, as the range of values that could reasonably attributed to the measurand, becomes weak. Probabilities have been used for the determination of type B uncertainties. The probabilistic approach is regarded appropriate in order to determine the concentration level of the analyte and to estimate its uncertainty at the detection and quantification level of the method. More specifically Monte Carlo Simulation and Bayesians can be considered as useful approaches. Bayesians are very useful in case of detection methods where the measurement is not a deterministic procedure but it is based on the capability of the method to classify or identify the analyte from an indication which could lead to false positive or false negative observation. In the present work, Bayesians are applied in order to estimate the value of the analyte and its uncertainty in the determination of food contaminants at very low levels as well as in identification techniques.
机译：化学计量是一种特定领域，其中难以标准化难以标准化的过程。此外，评估其可靠性需要更全面的方法。另一方面，连续越来越多的污染物旨在在食物中和它们中的高百分比确定。在非常低的量化水平下毒性越多。在这些低水平下，接近检测，使用统计技术来确定不确定性的统计技术的古典方式，因为可以合理地归因于测量的值，变弱。概率已经用于确定B型不确定性。概率方法被认为是适当的，以确定分析物的浓度水平，并在该方法的检测和定量水平下估计其不确定性。更具体地说，Monte Carlo仿真和贝叶斯人可以被视为有用的方法。在检测方法的情况下，贝叶斯人非常有用，其中测量不是确定性过程，而是基于该方法的能力来分类或识别来自可能导致错误正或假阴性观察的分析物的分析物。在目前的工作中，贝叶斯人被应用，以估计分析物的价值及其在非常低的水平下测定食物污染物的不确定性以及鉴定技术。

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