332456 What Really Happens in Diffusion With Reversible Trapping, and What Are the Implications for Biological Diffusion Models?
A classical question in homogenization/coarse graining is, what are the effective (average) diffusion coefficient Deff and rate coefficient keff characterizing the macroscopically observable transport and reaction of a solute molecules/particle that diffuse through an array (periodic or random) of perfectly or partially absorbing traps (reactive or sticky grains)? Most analyses to date have addressed the irreversible case where—once trapped—the diffusing solute is effectively destroyed or bound forever (see representative references1-12). This case is directly relevant to such technological applications as aerosol deposition. In biological systems, however, reversibility of binding/trapping is the rule rather than the exception. Indeed, any irreversibly bound species would necessarily accumulate without bound, and spell disease or death in the absence of a mechanism for removal/clearance. Interestingly, there is a dearth of homogenization theory for the reversible case.
This talk develops a comprehensive answer to the following question. Suppose a solute diffuses through a medium with two-phase microstructure, so that its free concentration C(x,y,z,t) and bound concentration B(x,y,z,t) are governed by the equations
∂ C / ∂ t = Da ∇2C – [(kon)a C – (koff)a B]
∂ B / ∂ t = (kon)a C – (koff)a B (1a)
in phase a, and
∂ C / ∂ t = Db ∇2C – [(kon)b C – (koff)b B]
∂ B / ∂ t = (kon)b C – (koff)b B (1b)
in phase b at the microscopic scale. What is the equation governing the macroscopically observable behavior? The answer turns out not to be of the same form with homogenized coefficients, namely
∂ C / ∂ t = Deff ∇2C – [(kon)eff C – (koff)eff B]
∂ B / ∂ t = (kon)eff C – (koff)eff B, (2)
as might be expected. Rather, the correct macroscopic description generally involves a free concentration C(x,y,z,t) and two effective bound concentrations B[1](x,y,z,t) and B[2](x,y,z,t) that evolve collectively according to the more complex system of transport equations
∂ C / ∂ t = Deff ∇2C – [(kon[1])eff C – (koff[1])eff B[1]] – [(kon[2])eff C – (koff[2])eff B[2]]
∂ B[1] / ∂ t = (kon[1])eff C – (koff[1])eff B[1]
∂ B[2] / ∂ t = (kon[2])eff C – (koff[2])eff B[2]. (3)
A general prescription is derived to calculate the effective coefficients (kon[1])eff, (koff[1])eff, (kon[2])eff and (koff[2])eff, involving an eigenvalue problem posed in a unit cell of the microstructure. Asymptotic analysis yields an explicit formula that approximates the requisite eigenvalue very accurately, thereby allowing the effective binding rate constants to be determined without solving a diffusion problem. Although the analysis is originally carried out for spatially periodic microstructures, the asymptotic reveals a broader applicability of the results, which are verified vis-à-vis a brute-force numerical calculation. The analysis is generalized to an N-phase microstructure for any N ≥ 2.
The homogenization paradigm has important implications for diffusion models of biological tissues, for which: (ii) multiphase microstructure invariable produces two or more microscopic sets of on- and off binding rate constants [(kon)a, (koff)a], [(kon)b, (koff)b], …; and (ii) Eq. (2) is invariably assumed to apply at the macroscopic scale. Practical application of the analysis is demonstrated within the context of drug/chemical diffusion through the surface (barrier) layer of skin, the stratum corneum, in which reversible binding to keratin protein is known to occur.13-16
1. Ochoa JA, Stroeve P, Whitaker S. 1986. Diffusion and reaction in cellular media. Chem Eng Sci 41(12):2999-3013.
2. Shapiro M, Brenner H. 1988. Dispersion of a chemically reactive solute in a spatially periodic model of a porous medium. Chem Eng Sci 43(3):551-571.
3. Dungan SR, Shapiro M, Brenner H. 1990. Convective-diffusive-reactive Taylor dispersion processes in particulate multiphase systems. Proc R Soc London Ser A - Math Phys Eng Sci 429(1877):639-671.
4. Torquato S. 1991. Diffusion and reaction among traps: some theoretical and simulation results. J Stat Phys 65(5-6):1173-1206.
5. Torquato S, Avellaneda M. 1991. Diffusion and reaction in heterogeneous media: pore size distribution, relaxation times, and mean survival time. Journal of Chemical Physics 95(9):6477-6489.
6. Mauri R. 1991. Dispersion, convection and reaction in porous media. Phys Fluids A – Fluid Dynam 3(5):743-756.
7. Brenner H, Edwards DA. 1993. Macrotransport Processes. Boston: Butterworth-Heinemann.
8. Lu SY. 1998. Diffusion and reaction in regular arrays of spheres. J Chem Phys 109(12):4985-4989.
9. Lu SY, Yen YM. 2002. A first-passage scheme for determination of overall rate constants for non-diffusion-limited suspensions. J Chem Phys 116(7):3128-3133.
10. Kansal AR, Torquato S. 2002. Prediction of trapping rates in mixtures of partially absorbing spheres. J Chem Phys 116(24):10589-10597.
11. Vaughn MW. 2004. Diffusion and trapping in a suspension of spheres with simultaneous reaction in the continuous phase. J Chem Phys 120(19):9351-9358.
12. Vaughn MW. 2005. First-passage approach for permeable traps. J Chem Phys 123(13):134905 (7 pp.).
13. Anissimov YG, Roberts MS. 2009. Diffusion modelling of percutaneous absorption kinetics: 4. Effects of a slow equilibration process within stratum corneum on absorption and desorption kinetics. J Pharm Sci 98(2):772-781.
14. Frasch HF, Barbero AM, Hettick JM, Nitsche JM. 2011. Tissue binding affects the kinetics of theophylline diffusion through the stratum corneum barrier layer of skin. J Pharm Sci 100(7):2989-2995.
15. Hansen S, Selzer D, Schaefer UF, Kasting GB. 2011. An extended database of keratin binding. J Pharm Sci 100(5):1712-1726.
16. Seif S and Hansen S. 2012. Measuring the stratum corneum reservoir: desorption kinetics from keratin. J Pharm Sci 101(10):3718-3728.
See more of this Group/Topical: Engineering Sciences and Fundamentals

Google
Yelp
Facebook
Twitter
ChEnected