Figure 5
Figure 5. Global sensitivity analysis. We implemented global sensitivity analysis performing 200 simulations, each with a different combination of parameters, and evaluated the fit (RMSE value) to the experimental data describing the transport of caged fluorescent albumin. We plot the values sampled for the effective diffusion coefficient in the shell (A) and in the core (B) with the corresponding RMSE value. The effective diffusion coefficient values show a robust signal with respect to the fit, independently of the choice of the other parameter values. From this, we estimate the effective diffusion coefficient to be 1 × 10−11 and 4 × 10−12 m2/s for shell and core, respectively.

Global sensitivity analysis. We implemented global sensitivity analysis performing 200 simulations, each with a different combination of parameters, and evaluated the fit (RMSE value) to the experimental data describing the transport of caged fluorescent albumin. We plot the values sampled for the effective diffusion coefficient in the shell (A) and in the core (B) with the corresponding RMSE value. The effective diffusion coefficient values show a robust signal with respect to the fit, independently of the choice of the other parameter values. From this, we estimate the effective diffusion coefficient to be 1 × 10−11 and 4 × 10−12 m2/s for shell and core, respectively.

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