In the remaining part of this letter, we shall use the full Equation 3 for the ρ e (z e ) functionality. We may now obtain the fraction f e of impurities that flow, at given t and x values, near a collision distance from the impurity-dressed wall. For that, we assume that the fluid velocity profile is given by the Poiseuille law, [10] , where u is the fluid velocity and r the distance

to the channel’s axis (see [11] for an explicit discussion supporting that at least for channels of radius nm, the flows of water-like liquids driven by hydrostatic pressure are in fact in the Poiseuille regime). Then, f e is given by the fraction of the fluid mass that passes through the outer ring r e −ρ e ≤ r ≤ r e , i.e., . The result of those integrations is (4) In the considerations leading to Equation 4, we have implicitly taken the concentration of impurities NSC23766 clinical trial as constant along the radial

coordinate r. However, in principle, it could be expected that near the walls the electric potential will influence the distance between impurities. To test whether this effect may be of relevance, a Debye-like PND-1186 mw concentration profile was also considered. The corresponding f e is then given by , the explicit algebraic result being too cumbersome to be reproduced here. As it will be commented on in detail later in this letter, we have observed that both Equation 4 and the more complicated alternative are able to predict essentially the same filtering performances and time evolutions, and so in the following, we will employ the simpler Equation 4 unless Ribonucleotide reductase stated otherwise. The second influence played by z e in our model concerns the probability that an impurity gets actually bound to the inner wall of the channel once it actually is learn more within a collision distance from that wall. We express the probability that a given impurity entering a differential slice of the channel with thickness d x gets trapped in that slice as , where is then a trapping

probability per unit length for the impurities flowing near a collision distance from the surface. This will obviously depend on the chemistry of impurities and active centers of the nanostructure and also on the number density of active centers not yet saturated by existing bindings. The latter indicates that will grow with z e , and in particular, we may adopt the natural first-order approximation (Ω0corresponds then to the value in a conventional non-nanostructured filter and Ω0 ≪ Ω 1 z 0). Equation for ∂n(x,t)/∂t Let us now build, on the basis of the above relationships, equations for the evolution of the areal density of trapped impurities, n, as a function of time t and position x when an impure fluid flows through the channel due to hydrostatic pressure.