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As expected for diffusion, this rapid motion is energy-independent and non-directional.
However, the middle portion of the map (average behavior) shows diffusion at a rate close to 10 μm/s, which is about half of that expected for diffusion considering the local viscosity as measured by eGFP.
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However, both m l and m c are much lower than m = 0.5 expected for diffusion-controlled Coble creep, and m = 1 for GB sliding mechanism [28, 29].
In contrast to the non-directional type of vesicle mobility, the directional mobility failed to exhibit a linear relationship between the mean square displacement as a function of time, as is expected for diffusion-based processes, but was better described by a quadratic equation (Potokar et al., 2005).
The Deff,H+ estimate (≈1 × 10−10 m2/s) was about one order of magnitude lower than expected for proton diffusion in such porous structures, suggesting a role for co-diffusion of the proton and the corresponding DAAA anion in decreasing the proton diffusivity.
Several experiments are shown, demonstrating that mass transfer takes place at a velocity, which is more than one order of magnitude higher than expected for usual diffusion conditions.
The impedance response of the loaded film electrodes was consistent with the behavior expected for the diffusion of charge carriers through a layer of finite thickness.
Interestingly, protein nanoparticles are first localized in endosomes, but an early endosomal escape allows them to reach and accumulate in the nucleus (but not in the cytoplasm), with a migration speed of 0.0044 ± 0.0003 μm/s, ten-fold higher than that expected for passive diffusion.
The anodic and cathodic peak currents are linearly proportional to the square root of the scan rate which is expected for a diffusion controlled electrode process, Figs. 9b and 10b.
At this final stage, the different reaction kinetics (regarding rates of reactions of different orders of magnitude expected for the diffusion and binding of the template to the polymer) can be investigated by using the probability-weighted dynamic Monte Carlo method [38].
The variation law is similar with the one found for the peptide B-L12 as expected for a diffusion inside the same phase [39], [41].
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