Monte Carlo simulation was used to investigate the effect of random errors in the concentration measurements.
The lack of knowledge about the line shape, influenced by the field inhomogeneity, introduces errors in the concentration profile.
Instead, concentration correction factors can be introduced to account for either errors in the concentration determination or for the presence of inactive fractions of material.
It is shown that deviations of real from assumed mixing behaviour in both phases as well as rather small errors in the concentration of the liquid phase may result in deviations up to a factor of 5 10.
Uncertainties in our data may arise from systematic errors in the concentration determination because the accuracy for compounds concentration has been estimated using calculated values for the collision rate constant which should equal the reaction rate constant within ±30%.
For an isothermal process, the error in the concentration profiles can be corrected by using a function which is only dependent on the geometrical structure of the monolith.
From the linear model shown in eqn. 4 it follows that any error
All LME models tended to have mildly negatively biased slope estimates, which was anticipated because of the incorporation of 20% measurement error in the concentration.
The computed elliptical joint confidence region (EJCR) further shows that the two models have no proportional and constant errors in the predicted concentrations.
A model's performance is limited by inherent uncertainties due to errors in the tracer concentrations and a model's inability to simulate sub-resolution variability.
