SummaryIn micellar liquid chromatography (MLC), the hydrophobicity of a compound is the predominant factor in its retention and interaction with micelles. A non-linear empirical model can describe the dependence between the retention factor (logk) in MLC and the logarithm of partition coefficients octanol-water (logP). An algorithm based on such a model has been used to make logP predictions. Retention data for series of neutral compounds eluted with different mobile phases and alkylbonded stationary phases have been used to test the predictive ability of the algorithm. The results of this approach are compared with those obtained from automatic computational software packages. compound in RPLC is governed by hydrophobic interactions, linear relationships between the logarithm of retention factor (logk) and logP could be expected according to linear free energy relationships. Although this method has received a great deal of attention, some problems have been reported [6][7]. For instance, hydrophobicity estimations depend on the mobile phase composition and the nature of the stationary phase, and for alkyl-bonded stationary phases, different relationships are observed for different groups of congeneric compounds, because of the presence of free silanol groups and impurities in the stationary phase. The use ofmicellar mobile phases in RPLC instead the traditional aqueous-organic mobile phases to quantifying hydrophobicity has several advantages: i) the retention behaviour of compounds (apolar, polar or ionic) chromatographed with anionic, cationic and non-ionic surfactants is accurately modelled [8][9]. In fact, the retention of a non-ionizable compound as a function of micellar concentrations can be deduced by: