Quantitative structure-retention relationships for ionic and non-ionic compounds in biopartitioning micellar chromatography

Quantitative structure-retention relationships, QSRRs, represent a powerful tool in chromatography. The objectives of QSRR studies are to predict the chromatographic retention behaviour of solutes based on their structural properties, to elucidate retention mechanisms, to optimize the separation of complex mixtures or to prepare experimental designs. In this paper, using the retention factors of 151 structurally unrelated solutes that cover a wide range of hydrophobicity, molecular size, hydrogen bonding properties and ionization degrees obtained in biopartitioning micellar chromatography (BMC) at different Brij35 micellar concentrations, several multivariate QSRR models are tested. It is demonstrated that the chromatographic retention of any molecule in BMC, independently of its family, can be adequately described by its hydrophobicity (expressed as log P) and its anionic and cationic total molar charge (expressed as alpha(A) and alpha(B)).     

Mixed micellar liquid chromatography methods: modelling quantitative retention-activity relationships of angiotensin converting enzyme inhibitors

The capability of biopartitioning micellar chromatography (BMC), using pure Brij35 solution and mixed micellar system of Brij35-SDS (85:15) as mobile phase, to describe and estimate bioactivities of angiotensin converting enzyme inhibitors at different pH has been studied. Quantitative retention-activity relationships (QRAR) in BMC were investigated for these compounds. The obtained BMC(Brij35-SDS)-QRAR models were compared with the traditional BMC(Brij35)-QRAR, and better statistically models were obtained using Brij35-SDS retention data. The superiority of BMC(Brij35-SDS)-QRAR is due to the fact that the mixed micellar mobile phase can simulate the resting membrane potential and the conformation of the long hydrophilic polyoxyethylene chains remains unchanged.     

Quantitative retention-activity relationship models for quinolones using biopartitioning micellar chromatography

A simple and reproducible quantitative retention-activity relationship (QRAR) model utilizing biopartitioning micellar chromatography was developed for the biological parameter estimation of drugs. The correlation between retention factors of quinolones obtained in physiological conditions (pH, ionic strength) and biological activities was investigated using different second-order polynomial models. The predictive and interpretative ability of the chromatographic models was evaluated in terms of cross-validated data (RMSEC, RMSECV and RMSECVi). The aim was to obtain adequate QRAR models of half-life, clearance, volume of distribution, plasma protein combination rate, area under concentration-time curve and toxicity (LD50) of quinolones, and to elucidate the advantages and limitations of using a single parameter as independent variable for describing and estimating the activities.     

Development of predictive retention-activity relationship models of antipsychotic drugs by micellar liquid chromatography.

The predictive and interpretative capability of quantitative chromatographic retention-biological activity models is supported by the fact that in adequate experimental conditions the solute partitioning into the chromatographic system can emulate the solute partitioning into lipid bilayers of biological membranes, which is the basis of drug and metabolite uptake, passive transport across membranes and bioaocumulation. The use of micellar solutions of Brij35 as mobile phases in reversed liquid chromatography has proven to be valid in predicting some biological activities of different kinds of drugs. In this paper, the correlations between the logarithm of capacity factors and pharmacokinetic, preclinical pharmacology and therapeutic efficacy parameters of phenothiazines are studied. Parabolic quantitative retention-activity relationship models with predictive and interpretative ability have been obtained.     

Development of predictive retention-activity models of butyrophenones by biopartitioning micellar chromatography

The predictive and interpretative capability of quantitative chromatographic retention-biological activity models is supported by the fact that in adequate experimental conditions the solute partitioning into the chromatographic system can emulate the solute partitioning into lipid bilayers of biological membranes, which is the basis of drug and metabolite uptake, passive transport across membranes and bioaccumulation. The use of retention data obtained in biopartitioning micellar chromatography (BMC) has been demonstrated to be helpful in describing the biological behaviour of different kinds of drugs. In this chromatographic system, polioxyethylene 23 lauryl ether Brij35 micellar mobile phases and C(18) reversed stationary phase in adequate experimental conditions are used. The RP-HPLC capacity factors of butyrophenones were determined using different Brij35 concentrations as micellar mobile phases. Relationships between seven biological activities of butyrophenones reported in bibliography and retention data were established and their predictive and interpretative ability evaluated. These relationships were significant between preclinical pharmacology and therapeutic efficacy parameters and the retention factors of butyrophenones (0.89 < R(2) < 0.98). The results indicate that the retention of compounds in BMC is capable of describing and predicting in vitro the biological activities of butyrophenones. This approach can be very useful in the development of new neuroleptic drugs, avoiding the use of experimental animals.     

Determination of sun-screen agents in cosmetic products by micellar liquid chromatography.

A micellar liquid chromatographic method was developed for the quantitative determination of sun-screen agents in cosmetic products. The qualitative analysis of parabens is also feasible. Excellent linearity was obtained (r = 0.999) and recoveries were generally greater than 98%. A variety of commercial formulations were analyzed.     

Quantitative structure-retention relationships of phenolic compounds without Hammett's equations

Retention times of phenolic compounds in a given pH eluent in reversed-phase liquid chromatography were predicted from dissociation constants derived from atomic partial charges and log P-values calculated by a computational chemical method. The precision of the calculation of atomic partial charges by AMI and PM3 methods of MOPAC was evaluated. The atomic partial charges obtained by AMI were the more acceptable. The atomic partial charges obtained from the hydrogen of the hydroxyl group included an ortho-effect, therefore an ortho-effect was added to the predicted values. The precision of predicted retention factors obtained using predicted pKa values was similar to that using reference pKa values.     

Separation and determination of nitrobenzenes by micellar electrokinetic chromatography and high-performance liquid chromatography

A micellar electrokinetic chromatographic method and a high-performance liquid chromatographic method are proposed for the separation and determination of a mixture of 12 nitrobenzenes and their reduction products, namely 4-nitro-1,2-phenylenediamine, 4-nitro-1,3-phenylenediamine, 2-nitro-1,4-phenylenediamine, 2-nitroaniline, 3-nitroaniline, 4-nitroaniline, 4-amino-2-nitrophenol, 2-amino-5-nitrophenol, 2-amino-4-nitrophenol, 2-nitrophenol, 3-nitrophenol, and 4-nitrophenol. A solution of 50 mM sodium dodecyl sulfate and 10% ethanol in 23 mM sodium borate buffer was used as the electrophoretic medium. Good resolution could be obtained by the addition of tetrahydrofuran to the liquid chromatographic mobile phase. The retention and migration behavior of the nitrobenzenes are discussed.