Team:ETH Zurich/Modeling/Analytical Approximation
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== Boundary Conditions == | == Boundary Conditions == | ||
For the analytical approximation of the acetaldehyde gradient, we only consider the boundary condition that the concentration at the reservoir stays constant. This is in contrast to the full model, where we enforce that no diffusion occurs through the opening at side of the channel which is closed and not connected to the reservoir. However, we will see that for our circuit, this assumption is valid as long as we are inside the detection range of our circuit, which is the case that we are interested in. In the end, we can also detect if we go out of detection range in the analytical model and make sure this assumption holds. | For the analytical approximation of the acetaldehyde gradient, we only consider the boundary condition that the concentration at the reservoir stays constant. This is in contrast to the full model, where we enforce that no diffusion occurs through the opening at side of the channel which is closed and not connected to the reservoir. However, we will see that for our circuit, this assumption is valid as long as we are inside the detection range of our circuit, which is the case that we are interested in. In the end, we can also detect if we go out of detection range in the analytical model and make sure this assumption holds. | ||
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+ | == General Solution at Steady State == | ||
== Dead Zone Concept == | == Dead Zone Concept == |
Revision as of 18:43, 27 October 2011
Contents |
Analytical Approximation
GFP Band: Dimensionless Model
1. Dimensionless Species
We nondimensionalized all species occurring in the equations for the GFP band circuit.
2. Dimensionless Equations
The dimensionless equations for the dynamics of the band-generating system then read
3. Steady State
4. Dimensionless Groupings
The equation system can be simplified by introducing the following dimensionless groupings:
This yields the final equations for steady state:
Steady State Gradient Approximation
We derived the gradient formation dynamics analytically already in the reaction-diffusion model. However, there we only solved the resulting partial differential equation numerically. Here, we are going to venture forth and give a suitable analytical approximation!
Kolmogorov-Petrovsky-Piskounov Equation
In mathematics, the problem posed by general reaction-diffusion systems form is known as the Kolmogorov-Petrovsky-Piskounov Equation. In the case of acetaldehyde as diffusing and reacting molecule, the equation has the following general structure:
Boundary Conditions
For the analytical approximation of the acetaldehyde gradient, we only consider the boundary condition that the concentration at the reservoir stays constant. This is in contrast to the full model, where we enforce that no diffusion occurs through the opening at side of the channel which is closed and not connected to the reservoir. However, we will see that for our circuit, this assumption is valid as long as we are inside the detection range of our circuit, which is the case that we are interested in. In the end, we can also detect if we go out of detection range in the analytical model and make sure this assumption holds.
General Solution at Steady State
Dead Zone Concept
Analytical Solution
References