AbstractThe reproducibility of measurement results is a core performance characteristic for quantitati'/> Efficient estimation of the limit of detection and the relative limit of detection along with their reproducibility in the validation of qualitative microbiological methods by means of generalized linear mixed models
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Efficient estimation of the limit of detection and the relative limit of detection along with their reproducibility in the validation of qualitative microbiological methods by means of generalized linear mixed models

机译:高效估计检测极限和检测相对极限以及通过广义线性混合模型的定性微生物方法验证的再现性

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AbstractThe reproducibility of measurement results is a core performance characteristic for quantitative methods. However, in the validation of qualitative methods it is not clear how to characterize a method’s reproducibility. One approach for determining a qualitative method’s reproducibility is presented for microbiological methods, where the distribution of colony forming units (CFU) follows a Poisson distribution. The method’s reproducibility is defined in terms of the variability of the limit of detection (LOD) values. For a better estimation of reproducibility precision, our proposed approach is using an orthogonal factorial plan. Since an exact determination of absolute contamination levels is often not possible, following the ISO 16140-2:2016 [Microbiology of food and animal feed—method validation—part 2: protocol for the validation of alternative (proprietary) methods against a reference method, 2016], an approach is proposed which is based on the ratio of the LOD values of a reference and an alternative method. This approach is illustrated on the basis of an example.]]>
机译:<![cdata [ <标题>抽象 ara id =“par1”>测量结果的再现性是核心性能特征定量方法。然而,在定性方法的验证中,目前尚不清楚如何表征方法的重现性。用于确定定性方法的再现性的一种方法是针对微生物学方法,其中菌落形成单元(CFU)的分布遵循泊松分布。该方法的再现性是根据检测限(LOD)值的变化而定义的。为了更好地估计再现性精度,我们的建议方法正在使用正交阶乘计划。由于遵循ISO 16140-2:2016 [食品和动物饲料方法的微生物学 - 第2部分:用于验证参考方法的替代(专有)方法的协议,因此通常不可能进行绝对污染水平的精确测定。提出了一种基于参考和替代方法的LOD值的比率的方法。该方法是在一个例子的基础上示出的。 ]]>

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