Jansen R T, Bonants P J
Ann Clin Biochem. 1983 May;20(Pt 3):174-81. doi: 10.1177/000456328302000310.
A model is postulated describing the fluctuations in analytical chemical processes in the clinical laboratory. In this model the process variations are described by a non-stationary stochastic process with a significant time-varying mean value. Experiments short-term variance within a run and a long-term variance between runs determined by the time-varying mean value. For four different analytical systems used for determining six serum analytes between-run variance was demonstrated to be significantly greater than within-run variance. Based on the model a digital filtering procedure is presented which in each run estimates the process mean and subsequently corrects serum samples for its deviation. Thus significant variance reductions are obtained. The filtering procedure was tested for the determination in inorganic phosphate with a continuous-flow system in an experimental environment.
提出了一个描述临床实验室分析化学过程波动的模型。在该模型中，过程变化由具有显著时变均值的非平稳随机过程描述。实验通过时变均值确定了批内短期方差和批间长期方差。对于用于测定六种血清分析物的四种不同分析系统，批间方差被证明显著大于批内方差。基于该模型，提出了一种数字滤波程序，该程序在每次运行中估计过程均值，随后对血清样本的偏差进行校正。从而显著降低了方差。在实验环境中，对使用连续流动系统测定无机磷酸盐的滤波程序进行了测试。
