Ministério da Agricultura, Pecuária e Abastecimento, Laboratório Nacional Agropecuário, Seção Laboratorial Avançada de São José (SLAV/SC/LANAGRO/RS), São José, SC 88102-600, Brazil; Instituto Catarinense de Sanidade Agropecuária (ICASA), Florianópolis, SC 88034-001, Brazil; Universidade Federal de Santa Catarina (UFSC), Programa de Pós-graduação em Ciência de Alimentos, Florianópolis, SC 88034-001, Brazil.
Ministério da Agricultura, Pecuária e Abastecimento, Laboratório Nacional Agropecuário, Seção Laboratorial Avançada de São José (SLAV/SC/LANAGRO/RS), São José, SC 88102-600, Brazil.
Food Chem. 2019 Jun 1;282:147-152. doi: 10.1016/j.foodchem.2018.12.115. Epub 2019 Jan 11.
The statistical method of random uncertainties has been adopted for the uncertainty calculation of chemical measurements, since it is a good estimator of the overall uncertainty. Type B (inherited) uncertainties are usually insignificant when compared to type A (experimental) uncertainties. In quantitative measures, the mean is the most probable value of the measurand and the standard deviation of the mean is the best estimate of its standard uncertainty. Measurement uncertainty of qualitative measures may be estimated by the probability of taking right or wrong decisions. Thus, performance data of analytical methods are the main source of uncertainties. However, uncertainties obtained from limited observations should be used with caution to represent the overall uncertainty. This study demonstrated the influence of random uncertainties on the results of experimental approaches to estimate the uncertainty in chemical assays. The different profiles of uncertainty were demonstrated depending on the analytical technique and food composition.
化学测量的不确定度计算采用了随机不确定度的统计方法，因为它是整体不确定度的良好估计值。与 A 类（实验）不确定度相比，B 类（遗传）不确定度通常可以忽略不计。在定量测量中，平均值是被测量最有可能的值，平均值的标准差是其标准不确定度的最佳估计值。定性测量的测量不确定度可以通过正确或错误决策的概率来估计。因此，分析方法的性能数据是不确定度的主要来源。然而，从有限的观测中获得的不确定度应谨慎使用，以代表整体不确定度。本研究表明，随机不确定度对实验方法估计化学分析不确定度结果的影响。根据分析技术和食品成分，展示了不同的不确定度分布。
