Biopartitioning micellar chromatography

M. J., Biopartitioning micellar chromatography an in vitro technique for predicting human drug absorption, J. Chromatogr. B 2001, 753, 225-236. 

Quinones et al. (2000) reported the successful use of neural networks to predict the half-life of a series of 30 antihistamines. The input for the network was derived from the output of CODES, a routine that generates descriptors for a structure based on atom nature, bonding, and connectivity. Attempts to correlate the half-life with the physicochemical parameters log Kow, pKa, molecular weight, molar refractivity, molar volume, parachor, and polarity were unsuccessful. In a subsequent study by Quinones-Torrelo et al. (2001), the authors correlated the half-life of 18 antihistamines with their retention in a biopartitioning micellar chromatography system with a resultant correlation coefficient (R2adj) value of 0.89. The correlation is explained in that the retention in this system is dependent on hydrophobic, electronic, and steric properties, which are also important in determining half-life. 

Quinones-Torrelo, C., Sagrado, S., Villanueva-Camanas, R.M., and Medina-Hernandez, M.J., Retention pharmacokinetic and pharmacodynamic parameter relationships of antihistamine drugs using biopartitioning micellar chromatography, J. Chromatogr. B, 761, 13-26, 2001. 

Another relatively new lipophilicity scale proposed for use in AD ME studies is based on micellar electrokinetic chromatography (MEKC) [113]. A further variant is called biopartitioning micellar chromatography (BMC) and uses mobile phases of Brij35 (polyoxyethylene(23)lauryl ether) [114]. Similarly, the retention factors of 16 beta-blockers obtained with micellar chromatography using sodium dodecyl sulfate... 

Escuder-GHabert, L. Martin-Biosca,Y Sagrado, S. Villanueva-Camanas, R. M. Medina-Hemandez,M.J. Biopartitioning micellar chromatography to predict ecotoxicity. Anal Chim. Acta 2001,448,173-185. 

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