Diffusion and Fick’s Law
Diffusion is the net movement of particles from a region of higher concentration to a region of lower
concentration. In physiology, this explains how gases, solutes, and small molecules move across membranes,
so a diffusion and Fick’s law calculator is useful for estimating the net diffusion rate and the direction
of movement across a barrier.
The basic teaching model is written as a transport relationship rather than as an abstract chemistry formula.
It highlights that diffusion depends on concentration gradient, membrane area, membrane thickness, and
membrane permeability or diffusion constant.
Core formula and meaning
\[
\begin{aligned}
\text{Rate} &= k \cdot A \cdot \frac{(C_1 - C_2)}{d}
\end{aligned}
\]
Here, \(k\) is the diffusion or permeability constant, \(A\) is membrane surface area, \(C_1 - C_2\) is the
concentration difference across the membrane, and \(d\) is membrane thickness. A positive value means net
movement from side 1 to side 2, while a negative value means net movement from side 2 to side 1. If the
gradient is zero, the model predicts no net diffusion.
A larger gradient increases the driving force for transport. A larger surface area gives more membrane
through which particles can move. A thicker membrane slows diffusion because particles must travel a longer
path. Common teaching units may vary by setup, but the key idea is consistent: the result expresses how much
solute moves per unit time.
How to interpret the result
A larger diffusion rate means faster net transport across the membrane. If the result becomes smaller after
increasing thickness or reducing area, the barrier has become less favorable for transport. If comparison
mode is used, the baseline and modified condition show which variable changed diffusion most strongly and
whether the direction of movement stayed the same or reversed.
- Use consistent concentration, area, thickness, and \(k\) units before comparing results.
- Do not confuse the sign of the rate with the size of the rate; the sign gives direction.
- A very small gradient can produce an almost zero net flux even when area is large.
- This is a simplified teaching model, so it does not replace full membrane transport physiology.
Micro example: if \(k = 2.0 \times 10^{-9}\), \(A = 0.015\ \text{m}^2\), \(C_1 - C_2 = 8\
\text{mol m}^{-3}\), and \(d = 5.0 \times 10^{-7}\ \text{m}\), then the predicted rate is \(4.8 \times
10^{-4}\ \text{mol s}^{-1}\), directed from the higher-concentration side to the lower-concentration side.
This tool is appropriate for membrane transport teaching, physiology practice, and quick parameter
comparisons such as alveolus, capillary wall, or cell membrane examples. It is not the right tool for
carrier saturation, active transport, electrochemical driving forces, or full multi-compartment modeling;
those cases require more advanced topics such as membrane potential, Nernst relationships, or transport
kinetics.