Predicting solubility from σ-profiles: what works and what doesn't
Solubility is activity coefficient times a melting term. Here's how σ-profiles give you the first half rigorously — and how to handle the second half honestly.
Updated June 29, 2026
Solubility is one of the most-requested predictions in early-stage chemistry, and one of the most misunderstood. σ-profiles plus COSMO-RS give you a rigorous handle on part of the problem — but only part. Knowing which part is the difference between a useful screen and a misleading number.
The two-term decomposition
For a solid dissolving in a liquid, the solubility splits into two physically distinct contributions:
- A mixing term — how happy the dissolved molecule is surrounded by solvent. This is the activity coefficient, and COSMO-RS predicts it well from σ-profiles.
- A fusion term — how much energy it costs to break the crystal lattice and melt the solid. This depends on the crystal, not on the solvent, and is outside the σ-profile picture.
Liquids skip the fusion term entirely, which is why miscibility and liquid–liquid partitioning are the natural home turf of COSMO-RS: there is no crystal to account for.
What σ-profiles nail
- Relative solubility across solvents for the same solute — because the fusion term cancels when you compare solvents, the σ-profile-driven activity coefficient does the work.
- Solvent and anti-solvent selection for crystallization.
- Co-solvency and the shape of solubility-vs-composition curves.
- logP / logD, which are pure partitioning and need no fusion term.
What needs the fusion term
Absolute aqueous solubility of a crystalline drug is the hard case: it needs the melting/fusion contribution. Practical options, in order of rigor:
- Measure the melting point and enthalpy of fusion (DSC) and plug them in.
- Use an estimate such as the general solubility equation, which approximates the crystal term from melting point.
- Predict relative solubility only, and treat absolute numbers as indicative.
Being explicit about which of these you used is what keeps a solubility prediction honest. A single 'predicted solubility' number with no statement of how the crystal term was handled should be treated with suspicion.
A defensible workflow
- Compute σ-profiles for solute and solvents with one fixed recipe.
- Use COSMO-RS for activity coefficients and relative solubility ranking.
- Add a clearly-labeled fusion term only when you need absolute numbers.
- Validate the top candidates experimentally and feed results back.
mfsig.com gives you the rigorous half — reproducible σ-profiles with provenance — so the activity-coefficient side of your solubility model rests on solid ground.
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