Annus Mirabilis · Interactive critical edition in preparation
The osmotic partition
See what the osmotic pressure of suspended particles depends on, and what it does not.
The osmotic partition
The osmotic partition
Static worked exampleWorked example: on the molecular-kinetic model, 1 × 10¹⁵ particles per cubic metre press on the partition with 4.05 × 10⁻⁶ Pa, a force of 4.05 × 10⁻¹⁴ N, as much as a 4.14 × 10⁻¹⁰ m column of water.
| Number density n | 1.000000 × 1015 m⁻³ |
|---|---|
| Volume fraction φ | 5.235988 × 10−4 (admitted domain: φ ≤ 0.01) |
| Osmotic pressure Π | 4.047373 × 10−6 Pa |
| Force on partition F = ΠA | 4.047373 × 10−14 N |
| Equivalent water column h = Π/(ρg) | 4.135442 × 10−10 m |
| Np | How many suspended particles are in the chamber: the count you set, 1,000 here. |
|---|---|
| n | Their number density, Np divided by the accessible volume, in particles per cubic metre. The pressure is Π = nkT. |
| NA | Avogadro's number, the molecules in one mole: 6.022 × 1023, exact in the 2019 SI. Einstein writes it N. It enters when the pressure is written with the gas constant, R = NAk, and this laboratory does not use it. |
Predict before the numbers
At the same number of particles per volume, does a 1000-times-larger particle push harder, the same, or less on the partition?
The result appears when you choose, say you have one in mind, or skip.
What this model leaves out
• Particle interactions and excluded volume above the dilute domain.
• Non-ideal activity coefficients.
• Imperfect partitions (any real leak of particles across it).
• Gravity and sedimentation.
• Electrostatic effects.
• Adsorption at the partition.
• The kinetics and time needed to reach osmotic equilibrium.
• Molecular collisions with the wall: the drawn glyphs are illustrative, not a collision simulation.
Show the calculation owner and source identity
Number density, osmotic pressure, the dilute-domain check, partition force, and hydrostatic head are computed by src/physics/reference/diffusion/routeA.ts and src/physics/reference/diffusion/distributions.ts, composed (never recomputed) by src/experiments/bm02/session.ts.
Live terms bind osmoticPressure, numberDensity, and temperature.
A dissolved sugar molecule pushes on a wall that stops it but lets water through, and that push is osmotic pressure. Einstein argued that a particle big enough to see under a microscope pushes in exactly the same way, one particle counting as one molecule, however large it is.
Section 1 begins with van 't Hoff's law for a dilute solution: z gram-molecules in a volume V*, behind a wall that lets the solvent through, press on it with pV* = RTz. For small suspended bodies in place of the dissolved substance, classical thermodynamics expects no force at all, since the free energy seems not to depend on where the wall and the bodies are. The molecular-kinetic theory disagrees: a dissolved molecule differs from a suspended body only in size, so n bodies in V*, far enough apart, should press with p = (RT/N)ν, where ν = n/V*. The instrument evaluates both views. With 1000 spheres of radius 0.5 μm in a million cubic micrometres at 293.15 K, ν = 1015 m−3 and the pressure is 4.05 × 10−6 Pa: a force of 4.05 × 10−14 N on a partition of 104 μm2, or the weight of a water column 0.41 nm high. A 0.01 mol/L sugar solution, with 6 × 109 times as many particles in each cubic metre, gives 24.4 kPa by the same law. The radius does not enter; it only limits how crowded the spheres may be before the law needs correcting, here to 1 percent of the volume.
Van 't Hoff's law says pV* = RTz for z gram-molecules in the volume V*. A gram-molecule holds N molecules, so z = n/N for n molecules, and p = (RT/V*)(n/N) = (R/N)Tν, with ν = n/V* the number per unit volume. R/N is Boltzmann's constant, kB = 1.381 × 10−23 J/K, so p = νkBT. Einstein's step is to let the n be suspended spheres instead of molecules. Count them: 1000 spheres in 106 μm3, which is 106 × 10−18 = 10−12 m3, gives ν = 1000/10−12 = 1015 per cubic metre. With kBT = 1.381 × 10−23 × 293.15 = 4.047 × 10−21 J, p = 1015 × 4.047 × 10−21 = 4.05 × 10−6 Pa. On a partition of 104 μm2 = 10−8 m2 that is a force of 4.05 × 10−14 N. To picture it as a column of water, divide by the water's density times g: 4.05 × 10−6/(998 × 9.81) = 4.1 × 10−10 m. For the sugar solution, 0.01 mol/L is 10 mol/m3, or 6.02 × 1024 molecules per cubic metre, so p = 6.02 × 1024 × 4.047 × 10−21 = 2.44 × 104 Pa; the ratio of the two pressures is just the ratio of the counts. The radius appears nowhere in p. It sets how much of the volume the spheres fill: each has volume (4/3)π(0.5 μm)3 = 0.524 μm3, so 1000 of them fill 5.2 × 10−4 of the space. For hard spheres the ideal law is off by about four times that fraction, so the instrument admits fractions up to 1 percent, where the correction is about 4 percent.
Einstein wrote z for the number of gram-molecules, V* for the partial volume, ν for the number of bodies per unit volume and N for the number of real molecules in a gram-molecule. Van 't Hoff had set out the law of dilute solutions, and its likeness to the gas law, in 1887. The claim that visible particles obey it is Einstein's, made against what classical thermodynamics would expect, and Section 2 derives it from statistical mechanics. Perrin used the same equivalence from 1908, setting it against gravity in the settling of gamboge grains to count molecules.
The explanation
Full explanation
In the dilute molecular-kinetic model a suspended particle presses on a partition that lets the liquid through as a dissolved molecule does: the pressure is set by the number of particles per volume and the temperature, and not by their size. The classical expectation for suspended bodies, shown beside it as a labelled alternative, gives no pressure at all.
Show every step of the investigation
Change the count, the volume and the temperature, and read the pressure, the force on the partition and the height of the equivalent water column. Then change the radius at the same count per volume and compare the pressure. A volume fraction above 0.01 leaves the dilute model and is refused rather than extrapolated.
An explanatory model, not an observation of nature. This embed starts from the laboratory’s worked defaults, not a saved run. Presentation options change the surrounding guide, never the numerical inputs.