CentrivaLab® · OSN simulator · Device comparison · CP Calculator

OSN property guide

What the OSN simulator assumes about density, densification coefficient β, viscosity and diffusivity — the equations, the data they were checked against, where they fail, and a calculator so you can verify every number.
Status: draft, for review. Items marked unverified have no direct measurement behind them yet. Everything else was compared with experimental data from the NIST/TRC ThermoML Archive, and the primary articles are cited by DOI so you can check them.

1. Where the properties enter

The concentration-polarisation correlation of the simulator is kc/U* = 0.261 𝒢¼ Sc−¼ with 𝒢 ∝ β·c0·(Jv/U*). The properties therefore enter through three numbers per solute–solvent pair: the densification coefficient β (how much the density rises per unit solute mass concentration), the kinematic viscosity ν(c) and the diffusivity DAB(c), with Sc = ν/D. The error in each propagates into kc with weights ¼ (β) and ¼ (ν/D through Sc, together with the property evaluation at the film concentration).

2. Density and β from a partial specific volume

For c kg of solute per m³ of solution with partial specific volume v̄ (m³/kg), the solute occupies c·v̄ and the solvent the rest:

ρ(c) = c + ρ₀ (1 − c v̄) = ρ₀ + c (1 − ρ₀ v̄)   ⇒   β = (1/ρ₀) dρ/dc = (1 − ρ₀ v̄)/ρ₀

v̄ is taken at infinite dilution; for the concentrations of interest (≤ 5–10 wt %) this is a good approximation for non-associating solutes, but see §4.

Sensitivity — how much an error in v̄ matters

β is a difference (1 − ρ₀v̄), so an error in v̄ is amplified by ρ₀v̄/(1 − ρ₀v̄) on the way to β:

Solventρ₀ (kg/m³, 25 °C)ρ₀v̄ (PEG)Δβ/β for 1 % error in v̄
Water997.00.8385.2 %
Acetonitrile776.60.6591.9 %

But β enters the mass-transfer coefficient only through 𝒢¼, so the effect on kc is small. Running the CP Calculator solver for PEG 35 kDa (6000 rpm, 20 °C, Robs = 0.98) with β changed by −25 % / +25 %:

c₀ (g/L)Jv (LMH)kc (µm/s), β −25 % / base / +25 %Γ, β −25 % / base / +25 %
10155.71 / 6.13 / 6.491.05 / 0.95 / 0.88
20307.56 / 8.13 / 8.591.97 / 1.75 / 1.60
20609.00 / 9.67 / 10.225.27 / 4.52 / 4.03
A ±25 % error in β changes kc by only ±6 %, and Γ by −11 % to +17 % (the polarisation grows non-linearly with φ = Jv/kc). The viscosity and the diffusivity are the properties that decide the result; β is the least critical of the three. For proteins, whose v̄ is nearly universal (≈ 0.73 ± 0.02 cm³/g), an approximate v̄ is enough; for short peptides (v̄ 0.58–0.74 cm³/g in water) the spread is larger but still moves kc by about 6 %. Test run with the NF closure of the calculator; the UF closure amplifies more at high φ.

3. Partial specific volume of PEG

3.1 Oligomers, from experimental densities

Apparent specific volumes φ(w) = [1/ρ − (1−w)/ρ₀]/w were extrapolated to w → 0 using published density series of ethylene glycol oligomers at 298.15 K (NIST ThermoML Archive; articles in §9). The pure-water density used when an article does not report w = 0 is the median of the archive (997.0 kg/m³).

SoluteSolventEO units nv̄∞ (cm³/g)V∞ (cm³/mol)Articles
Ethylene glycolwater10.87854.52
Diethylene glycolwater20.86391.61
Triethylene glycolwater30.864129.83 (range 0.858–0.882)
Ethylene glycolDMSO10.88855.11
Ethylene glycolDMF10.88955.21
Diethylene glycolDMF20.87392.61

In the two organic solvents v̄ is about 1 % higher than in water for the same oligomer.

3.2 From oligomers to the polymer: group model

The molar volume is linear in the number of ethylene-oxide units: V∞(n) = n·VEO + Vends, with M = 44.053 n + 18.015 g/mol.

v̄(M) = (VEO n + Vends) / (44.053 n + 18.015)  ,  n → ∞:   v̄ → VEO/44.053

3.3 Consequence for PEG 35 kDa

QuantityValueStatus
v̄ (n ≈ 794), water0.840 cm³/ggroup model
β in water from v̄1.63×10⁻⁴ m³/kgcalculated
β in the simulator (PEG 35 kDa, Pereira 2026 / Pires et al.)1.66×10⁻⁴ m³/kgfitted to measured density; implies v̄ = 0.837 cm³/g
Agreement−1.8 % in βconsistent
Apparent specific volume of PEG 1500 in water (Costa et al., 2014)0.8336–0.8528 cm³/gliterature range, consistent
v̄ in acetonitrile0.840 (water value) to 0.848 (+1 %) cm³/gunverified — no measurement found
β in acetonitrile (ρ₀ = 776.6)4.4–4.5×10⁻⁴ m³/kgestimate, ±6 % if v̄ is ±3 %
The acetonitrile value rests on the oligomer behaviour in DMF/DMSO and on the water polymer limit. A direct density measurement of PEG (1–35 kDa) in acetonitrile at 5–50 g/L would remove the uncertainty and costs one afternoon with a vibrating-tube densimeter.

4. Why β must not be computed from pure-component densities

Ideal volume additivity (ρid = 1/Σ wi/ρi) predicts the density of binary mixtures within ≤ 1–2 % over the whole composition range (3.8 % at worst, water + oligo-ethers). But β depends on the density increment at low concentration, which is small, and there additivity fails. Ratio of measured to additive increment at w ≤ 0.10 (median, 298 K region, NIST data):

SolventSoluteMeasured/additive
waterglycerol1.11
waterethylene glycol1.25
watertriethylene glycol1.33
water2-butoxyethanol0.26
water2-(2-hexyloxyethoxy)ethanol0.04
ethanolglymes (n = 1–4)1.06–1.14
DMFdiethylene glycol1.11
acetonitrile2-methoxyethanol1.09

Hydrating solutes contract the mixture (increment 10–37 % larger); amphiphilic ethers are density-matched to water (increment ≈ 0). The simulator therefore uses a measured or literature v̄, never pure-liquid densities, for β.

5. Solvents: density and viscosity

Pure-solvent data come from the Choupo/ChemSep v8.3 correlations (liquid viscosity: Andrade or ChemSep Eq. 101; density from Vliq at 25 °C). They were compared with all pure-liquid points at ambient pressure in the NIST archive (about 14 000 points). Median relative error of μ(T) over the temperatures in the data, and density at 298 K:

Solventμ modelPointsMedian |error| in μ90th percentileρ(298 K) Δ
AcetonitrileEq. 1011001.5 %9.0 %0.0 %
MethanolAndrade2611.3 %4.2 %+0.1 %
EthanolAndrade4251.2 %3.8 %+0.3 %
IsopropanolEq. 1012041.1 %4.3 %+0.1 %
TolueneAndrade1680.5 %2.9 %0.0 %
THFEq. 101522.5 %6.0 %−0.1 %
DMSOEq. 1011551.8 %4.5 %+0.1 %
Water (reference solvent)Andrade5713.0 %5.0 %0.0 %
Acetoneno viscosity correlation in Choupo (31 NIST points available)+0.7 %
Ethyl acetateno viscosity correlation in Choupo (42 NIST points available)+0.3 %
DMFnot in Choupo (171 NIST viscosity points available)—

Water is included as a reference solvent, so the same solute can be compared in water and in the organic solvents. Its Andrade fit overestimates μ by about 2 % at 25 °C; the Vogel form ln μ = A + B/(T − C) from the same database is used instead (0.89 mPa·s at 298 K).

The comparison is not fully independent (ChemSep and NIST share literature sources) and a few outlier points in the archive were not removed; medians and percentiles are used for that reason.

6. Diffusivity

6.1 Small and API-sized solutes: Wilke–Chang

DAB = 7.4×10⁻⁸ (φ MB)½ T / (μB VA0.6)  [cm²/s; μ in cP, VA in cm³/mol at Tb]

φ = 1.9 for methanol, 1.5 for ethanol, 1.0 for non-associating solvents; VA by Le Bas additive volumes (C 14.8, H 3.7, O 7.4, N 10.5/12.0 for primary/secondary amines, −15 per ring). Compared with published infinite-dilution values at 298–328 K:

SoluteSolventVA (cm³/mol)PointsWilke–Chang error
PhenolMeOH / EtOH1031 + 1+12 % / +3 %
BenzaldehydeMeOH / EtOH1181 + 1−1 % / −6 %
AcetophenoneMeOH / EtOH1401 + 10 % / −5 %
1-Amino-2-methylanthraquinoneMeOH / EtOH24316 + 12−12 % / −14 %
1,4-Bis(methylamino)anthraquinoneMeOH / EtOH2828 + 8−14 % / −21 %
The correlation is within ±6 % for small aromatics and under-predicts D by 12–21 % for the two API-sized dyes. The sample is small (10 solute–solvent pairs, alcohols only); for acetonitrile, DMF, THF and ethyl acetate no suitable dilute-solute data were found.

6.2 PEG and macromolecules not yet validated

Wilke–Chang was fitted to small molecules and is not used for chains. For PEG the plan is Stokes–Einstein, D = kBT/(6πμRh), with Rh from a power law Rh ∝ M0.57 in water. The simulator currently uses Rh = 0.0145·M0.571 nm, a water power law that could not be confirmed in the original source; a supplement of a later study quotes a different exponent (≈ 0.54) for PEG. At 35 kDa and 20 °C the formula gives D ≈ 3.8×10⁻¹¹ m²/s, close to the estimate used for the measured PEG 35 kDa laws (4.0×10⁻¹¹ m²/s, itself an estimate: no measurement exists), so the check is not independent. For PEG 35 kDa the simulator keeps the measured DA(c) of Pereira (2026), with DA(0) an estimate (stated on the simulator page).

6.3 Concentration dependence of viscosity

For polymers: [η] = K Ma (Mark–Houwink, constants from the Polymer Handbook for each solvent) and η/η₀ = 1 + [η]c + kH([η]c)². Near limiting flux the wall viscosity controls kc (Peeva et al. 2026 find k ∝ η−2 for PEG 35 kDa in acetonitrile), so these constants decide the result and each one is listed in the simulator with its source. For PEG the simulator uses [η] = 0.0125·M0.78 mL/g (Mark–Houwink constants that could not be confirmed in the original; another study reports different constants, K = 0.0068 mL/g and a = 0.67 for 1–8000 kg/mol, which would give a six times lower [η] at 35 kDa and does not reproduce the measured viscosity below). The constants used give ν/ν₀ = 1.48 at 10 g/L for PEG 35 kDa in water, against 1.50 from the measured law (Pereira 2026), so in water they are consistent with measurement; in organic solvents they are assumed. partly verified

7. Hypotheses and limits

  1. Dilute solutions: v̄ at infinite dilution; no excess volume at 5–10 wt % beyond what the oligomer data show.
  2. Temperature around 298 K (v̄ and Rh have temperature dependences not modelled yet; tabulated solvent μ(T) is).
  3. Pressure ≈ ambient; the compression of liquids at 10–60 bar changes ρ by < 0.5 % and is neglected.
  4. No solvent-membrane interaction: swelling, adsorption and solvent-induced conformational change are outside the model (Peeva et al. discuss them as sources of deviation).
  5. Acetonitrile v̄ for PEG and all macromolecular D and η values are estimates until direct measurements are added.
  6. Proteins: no data from the archive (the NIST archive has none); properties will come from the original literature, one protein at a time.

7b. Consistency check against the measured PEG 35 kDa laws

The device-comparison page uses measured property laws for PEG 35 kDa in water at 20 °C (ν(c), DA(c), π(c) from the CFD reconstructions of Pereira 2026, Table A.1; data of Pires et al.). The OSN simulator uses exactly those laws whenever the solvent is water, the solute is PEG with M = 35 000 ± 1 500 g/mol, T = 20 °C and no property is overridden. Otherwise it uses the generic estimates of this guide. To check how far the generic estimates are from the measured case, the same PEG 35 kDa/water problem was solved with both (generic run at 21 °C, UF permeance 32 LMH/bar, B = 0.5 LMH, O-CMF):

Property at c (g/L)Measured lawsGeneric estimate
ν, 20 g/L (10−6 m²/s)2.192.14
D, 20 g/L (10−11 m²/s)4.514.37
π, 20 g/L5.5 kPa2.3 kPa
π, 40 g/L16.5 kPa7.0 kPa
c₀ (g/L)ΔP (bar)kc (µm/s) measured / genericJv (LMH) measured / genericΓ measured / generic
1024.55 / 4.5841.0 / 48.46.98 / 9.77
10106.90 / 7.1993.7 / 125.517.99 / 33.09
2056.27 / 6.5752.8 / 72.06.25 / 10.95
20107.62 / 8.1175.0 / 106.38.77 / 16.77
The mass-transfer coefficient agrees within 1–6 %. The flux and Γ differ because the generic π is 2.4–2.9 times lower than the measured law: the measured π/c at c → 0 corresponds to an effective number-average molar mass of about 12 kDa, not 35 kDa, so that batch behaves as if it contained a low-molar-mass fraction (or the cryoscopy included other contributions). Which one is right is not settled here. If you know Mn of your polymer, enter it in the override field and the generic π follows it.

Two modelling choices behind the generic estimates are calibrated on this single measured case: the collective diffusivity D(c) = D₀(1 + 0.15 [η] c), and the semi-dilute osmotic pressure π = (RT/M) c [1 + 0.73 (c[η])1.3]. Calibrating on one polymer and one solvent is a limitation; they are replaced as soon as measurements in other solvents are available. A first version of the page used D(c) = D₀/ηrel(c), which collapses the film diffusivity at high concentration and over-predicted Γ by about a factor of 10 for this case; that assumption was removed.

8. Check it yourself

β from v̄

v̄ of PEG from molar mass

Wilke–Chang

Defaults reproduce the table values: PEG 35 kDa in water (β ≈ 1.63×10⁻⁴), and 1-amino-2-methylanthraquinone in methanol at 308.2 K (μ = 0.474 mPa·s from the Andrade fit): Wilke–Chang ≈ 1.4×10⁻⁹ m²/s against 1.44–1.60×10⁻⁹ m²/s measured (four points at that temperature).

9. Sources

Data. NIST/TRC ThermoML Archive, v. 2020-09-30, DOI 10.18434/mds2-2422 (the arrangement is NIST's; the measurements belong to the articles below). Pure-component correlations: ChemSep v8.3 (Kooijman & Taylor), accessed through the Choupo component database. Cite the primary articles, not the archive.

Primary articles used for v̄ of oligomers (DOI): 10.1016/j.fluid.2015.07.030, 10.1016/j.jct.2015.05.024, 10.1016/j.jct.2018.02.022 (water + triethylene/diethylene glycol); further series from the same archive for ethylene glycol in water, DMSO and DMF.
Diffusion (dilute solutes in alcohols): 10.1021/je700539w (phenol, benzaldehyde, acetophenone in methanol and ethanol, 298.15 K); 10.1016/j.fluid.2016.01.010 (amino- and bis(methylamino)anthraquinone, 308–328 K).