Enter the SMILES of the molecules you want to separate — your API and its impurities or degradants. MolWard scouts a standardized grid of columns, mobile phases and pH, ranks the conditions by resolution of the critical pair, recommends a UV wavelength, and — using the 817-column HSM database — flags peak-tailing risk and suggests orthogonal columns when peaks co-elute.
In reversed-phase HPLC, how long a compound is retained depends on its hydrophobicity and on the mobile phase. Understanding a few published relationships lets you anticipate elution order and scout conditions before running a gradient.
Over a useful range, the log of the retention factor falls linearly as the organic fraction (φ) rises — the linear-solvent-strength relationship:
log k = log kw − S·φand log kw tracks the analyte's hydrophobicity (log P / log D). More hydrophobic compounds retain longer; adding organic modifier elutes everything sooner.
For ionisable analytes, pH sets the charged fraction through Henderson–Hasselbalch, and the effective hydrophobicity is log D, not log P. A charged molecule is far less retained than its neutral form, so pH can reorder the chromatogram entirely.
Resolution improves with retention (k), selectivity (α) and efficiency (N)A neutral compound and a weak acid co-elute at low pH (the acid is protonated and hydrophobic). Raising the mobile-phase pH above the acid's pKa deprotonates it; its log D drops, it elutes earlier, and the two peaks separate — a pH change, not a stronger column, solved the co-elution.
Reference: Snyder, Kirkland & Dolan, Introduction to Modern Liquid Chromatography, 3rd ed.
An empirical relationship stating that log k decreases linearly with the organic fraction of the mobile phase; it underlies gradient method development and lets retention at one composition predict another.
For ionisable analytes, pH controls the charged fraction and therefore effective hydrophobicity (log D). Scouting pH often changes selectivity and elution order more powerfully than changing the organic modifier.
A resolution (Rs) of 1.5 gives essentially baseline separation of two peaks; 2.0 is a common robustness target for stability-indicating methods to keep the separation reliable across normal variation.