Fick's laws of diffusion

For the technique of measuring cardiac output, see Fick principle.
Fick's laws of diffusion describe diffusion and can be used to solve for the diffusion coefficient, D. They were derived by Adolf Fick in the year 1855.
Contents
Fick's first law
Fick's first law relates the diffusive flux to the concentration, by postulating that the flux goes from regions of high concentration to regions of low concentration, with a magnitude that is proportional to the concentration gradient (spatial derivative). In one (spatial) dimension, this is
where
 J is the "diffusion flux" [(amount of substance) per unit area per unit time], example . J measures the amount of substance that will flow through a small area during a small time interval.
 is the diffusion coefficient or diffusivity in dimensions of [length^{2} time^{−1}], example
 (for ideal mixtures) is the concentration in dimensions of [(amount of substance) length^{−3}], example
 is the position [length], example
is proportional to the squared velocity of the diffusing particles, which depends on the temperature, viscosity of the fluid and the size of the particles according to the StokesEinstein relation. In dilute aqueous solutions the diffusion coefficients of most ions are similar and have values that at room temperature are in the range of 0.6x10^{−9} to 2x10^{−9} m^{2}/s. For biological molecules the diffusion coefficients normally range from 10^{−11} to 10^{−10} m^{2}/s.
In two or more dimensions we must use , the del or gradient operator, which generalises the first derivative, obtaining
 .
The driving force for the onedimensional diffusion is the quantity
which for ideal mixtures is the concentration gradient. In chemical systems other than ideal solutions or mixtures, the driving force for diffusion of each species is the gradient of chemical potential of this species. Then Fick's first law (onedimensional case) can be written as:
where the index i denotes the ith species, c is the concentration (mol/m^{3}), R is the universal gas constant (J/(K mol)), T is the absolute temperature (K), and μ is the chemical potential (J/mol).
If the primary variable is mass fraction (y_{i}, given, for example, in ), then the equation changes to:
where ρ is the fluid density (for example, in ). Note that the density is outside the gradient operator.
Fick's second law
Fick's second law predicts how diffusion causes the concentration to change with time:
Where
 is the concentration in dimensions of [(amount of substance) length^{−3}], example
 is time [s]
 is the diffusion coefficient in dimensions of [length^{2} time^{−1}], example
 is the position [length], example
It can be derived from Fick's First law and the mass balance:
Assuming the diffusion coefficient D to be a constant we can exchange the orders of the differentiating and multiplying by the constant:
and, thus, receive the form of the Fick's equations as was stated above.
For the case of diffusion in two or more dimensions Fick's Second Law becomes
,
which is analogous to the heat equation.
If the diffusion coefficient is not a constant, but depends upon the coordinate and/or concentration, Fick's Second Law yields
An important example is the case where is at a steady state, i.e. the concentration does not change by time, so that the left part of the above equation is identically zero. In one dimension with constant , the solution for the concentration will be a linear change of concentrations along . In two or more dimensions we obtain
which is Laplace's equation, the solutions to which are called harmonic functions by mathematicians.
Example solution in one dimension: diffusion length
A simple case of diffusion with time t in one dimension (taken as the xaxis) from a boundary located at position x = 0, where the concentration is maintained at a value n(0) is

 .
where erfc is the complementary error function. The length is called the diffusion length and provides a measure of how far the concentration has propagated in the xdirection by diffusion in time t.
As a quick approximation of the error function, the first 2 terms of the Taylor series can be used:
For more detail on diffusion length, see these examples.
History
In 1855, physiologist Adolf Fick first reported^{[1]}^{[2]} his nowwellknown laws governing the transport of mass through diffusive means. Fick's work was inspired by the earlier experiments of Thomas Graham, but which fell short of proposing the fundamental laws for which Fick would become famous. The Fick's law is analogous to the relationships discovered at the same epoch by other eminent scientists: Darcy's law (hydraulic flow), Ohm's law (charge transport), and Fourier's Law (heat transport).
Fick's experiments (modeled on Graham's) dealt with measuring the concentrations and fluxes of salt, diffusing between two reservoirs through tubes of water. It is notable that Fick's work primarily concerned diffusion in fluids, because at the time, diffusion in solids was not considered generally possible.^{[3]} Today, Fick's Laws form the core of our understanding of diffusion in solids, liquids, and gases (in the absence of bulk fluid motion in the latter two cases). When a diffusion process does not follow Fick's laws (which does happen), we refer to such processes as nonFickian, in that they are exceptions that "prove" the importance of the general rules that Fick outlined in 1855.
Applications
Equations based on Fick's law have been commonly used to model transport processes in foods, neurons, biopolymers, pharmaceuticals, porous soils, population dynamics, semiconductor doping process, etc. Theory of all voltammetric methods is based on solutions of Fick's equation. A large amount of experimental research in polymer science and food science has shown that a more general approach is required to describe transport of components in materials undergoing glass transition. In the vicinity of glass transition the flow behavior becomes "nonFickian". See also nondiagonal coupled transport processes (Onsager relationship).
Biological perspective
The first law gives rise to the following formula:^{[4]}
in which,
 is the permeability, an experimentally determined membrane "conductance" for a given gas at a given temperature.
 is the surface area over which diffusion is taking place.
 is the difference in concentration of the gas across the membrane for the direction of flow (from c_{1} to c_{2}).
Fick's first law is also important in radiation transfer equations. However, in this context it becomes inaccurate when the diffusion constant is low and the radiation becomes limited by the speed of light rather than by the resistance of the material the radiation is flowing through. In this situation, one can use a flux limiter.
The exchange rate of a gas across a fluid membrane can be determined by using this law together with Graham's law.
Fick's flow in liquids
When two miscible liquids are brought into contact, and diffusion takes place, the macroscopic (or average) concentration evolves following Fick's law. On a mesoscopic scale, that is, between the macroscopic scale described by Fick's law and molecular scale, where molecular random walks take place, fluctuations cannot be neglected. Such situations can be successfully modeled with LandauLifshitz fluctuating hydrodynamics. In this theoretical framework, diffusion is due to fluctuations whose dimensions range from the molecular scale to the macroscopic scale. ^{[5]}
In particular, fluctuating hydrodynamic equations include a Fick's flow term, with a given diffusion coefficient, along with hydrodynamics equations and stochastic terms describing fluctuations. When calculating the fluctuations with a perturbative approach, the zero order approximation is Fick's law. The first order gives the fluctuations, and it comes out that fluctuations contribute to diffusion. This represents somehow a tautology, since the phenomena described by a lower order approximation is the result of a higher approximation: this problem is solved only by renormalizing fluctuating hydrodynamics equations.
Semiconductor fabrication applications
IC Fabrication technologies, model processes like CVD, Thermal Oxidation, and Wet Oxidation, doping, etc. use diffusion equations obtained from Fick's law.
In certain cases, the solutions are obtained for boundary conditions such as constant source concentration diffusion, limited source concentration, or moving boundary diffusion (where junction depth keeps moving into the substrate).
See also
 Diffusion
 Osmosis
 Mass flux
 MaxwellStefan diffusion
 ChurchillBernstein Equation
 NernstPlanck equation
 Gas exchange
Notes
 ^ A. Fick, Pogg. Ann. (1855), 94, 59, doi:10.1002/andp.18551700105 (in German).
 ^ A. Fick, Phil. Mag. (1855), 10, 30. (in English)
 ^ Jean Philibert, One and a Half Century of Diffusion: Fick, Einstein, before and beyond, Diffusion Fundamentals 2, 2005 1.1–1.10
 ^ Physiology at MCG 3/3ch9/s3ch9_2
 ^ D. Brogioli and A. Vailati, Diffusive mass transfer by nonequilibrium fluctuations: Fick's law revisited, Phys. Rev. E 63, 012105/14 (2001) [1]
References
 W.F. Smith, Foundations of Materials Science and Engineering 3rd ed., McGrawHill (2004)
 H.C. Berg, Random Walks in Biology, Princeton (1977)
External links
Categories: Diffusion
 Statistical mechanics
 Physical chemistry
 Mathematics in medicine
Wikimedia Foundation. 2010.
Look at other dictionaries:
Fick's law of diffusion — Fick s laws of diffusion describe diffusion and can be used to solve for the diffusion coefficient D . They were derived by Adolf Fick in the year 1855. First law Fick s first law relates the diffusive flux to the concentration field, by… … Wikipedia
Diffusion capacitance — is the capacitance due to transport of charge carriers between two terminals of a device, for example, the diffusion of carriers from anode to cathode in forward bias mode of a diode or from emitter to base (forward biased junction in active… … Wikipedia
Fick principle — fik n a generalization in physiology which states that blood flow is proportional to the difference in concentration of a substance in the blood as it enters and leaves an organ and which is used to determine cardiac output from the difference in … Medical dictionary
Diffusion creep — refers to the deformation of crystalline solids by the diffusion of vacancies through their crystal lattice.[1] Diffusion creep results in plastic deformation rather than brittle failure of the material. Diffusion creep is more sensitive to… … Wikipedia
Molecular diffusion — This article is about spontaneous dispersion of mass. For a more generic treatment of diffusion, see Diffusion. Diffusion from a microscopic and macroscopic point of view. Initially, there are solute molecules on the left side of a barrier… … Wikipedia
List of eponymous laws — This list of eponymous laws provides links to articles on laws, adages, and other succinct observations or predictions named after a person. In some cases the person named has coined the law – such as Parkinson s law. In others, the work or… … Wikipedia
Membraneless Fuel Cells — convert stored chemical energy into electrical energy without the use of a conducting membrane as with other types of fuel cells. In Laminar Flow Fuel Cells (LFFC) this is achieved by exploiting the phenomenon of non mixing laminar flows where… … Wikipedia
Heat transfer — is a discipline of thermal engineering that concerns the exchange of thermal energy from one physical system to another. Heat transfer is classified into various mechanisms, such as heat conduction, convection, thermal radiation, and phase change … Wikipedia
Annealing (metallurgy) — Annealing, in metallurgy and materials science, is a heat treatment wherein a material is altered, causing changes in its properties such as strength and hardness. It is a process that produces conditions by heating to above the recrystallization … Wikipedia
Mass transfer — Part of Chemical engineering History Concepts Unit operations Unit processes Chemical engineer Chemical process Process integration Unit operation … Wikipedia