Monte Carlo bottom-up evaluation of the uncertainty of complex sample preparation: Elemental determination in sediments

Multivariate guard-bands and total risk assessment on multiparameter evaluations with correlated and uncorrelated measured values

“…Measurement uncertainty associated with ciprofloxacin and acyclovir content was evaluated using bottom-up and/or top-down approaches (Separovic et al, 2023;Ellison, 2005;Milde et al, 2020;Morgado et al, 2021;Morgado et al, 2022;Pluháček et al, 2023). For the top-down approach, two main sources of uncertainty were considered: 1) the trueness component assessed as the mean recovery of samples with known concentrations of ciprofloxacin and acyclovir; and 2) the precision component assessed as the standard deviation of samples analyzed in repeatability conditions (Separovic et al, 2018;Separovic et al, 2023;Milde et al, 2020).…”

Bottom-up evaluation of complex measurements in chemistry by the Monte Carlo simulation of sample preparation

“…For the analysis of unknown samples subsequent to measurement procedure validation, the model used to simulate measurement repeatability from all analytical steps except sample preparation is used to simulate values, y, affected by only those components. The simulated repeatability is subsequently combined with simulated 𝐸 b and 𝑅 ̅ , producing m simulations of the measured values with all uncertainty components and correction for the analyte recovery ((y+𝐸 b )/𝑅 ̅ ) [3].…”