Prediction of Chromatographic Retention of Pyrazine and Alkylpyrazines in RP-LC

Retention prediction models for a group of pyrazines chromatographed under reversed-phase mode were developed using multiple linear regression (MLR) and artificial neural networks (ANNs). Using MLR, the retention of the analytes were satisfactorily described by a two-predictor model based on the logarithm of the partition coefficient of the analytes (log P) and the percentage of the organic modifier in the mobile phase (ACN or MeOH). ANN prediction models were also derived using the predictors derived from MLR as inputs and log k as outputs. The best network architecture was found to be 2-2-1 for both ACN and MeOH data sets. The optimized ANNs showed better predictive properties than the MLR models especially for the ACN data set. In the case of the MeOH data set, the MLR and ANN models have comparable predictive performance.     

Microcolumn liquid chromatography of polycyclic aromatic hydrocarbons and some isomeric compounds on cyclodextrin stationary phases

Preparative-grade bonded β- and γ-cyclodextrin stationary phases were used as the packing material of liquid chromato-graphic analytical microcolumns. Although the resulting columns are characterized by relatively low efficiency, the high selectivity of the cyclodextrin phases nevertheless allows their successful use for the separation of different classes of isomeric compounds that are difficult to resolve on conventional LC stationary phases. Examples of baseline (or almost baseline) separations of a number of isomeric compounds, including isomeric polycyclic aromatic hydrocarbons, are presented to demonstrate the analytical potential of such columns. Retention behavior of the separated isomers is discussed based on the structure of the solute molecule and the possibility of its inclusion into the molecular cavity of cyclodextrin stationary phases.     

Retention prediction of large and condensed polycyclic aromatic hydrocarbons in reversed-phase microcolumn liquid chromatography with diphenylsilica stationary phase

The retention behavior of condensed large polycyclic aromatic hydrocarbons has been investigated with diphenylsilica stationary phases in reversed-phase microcolumn liquid chromatography. The results were correlated with two parameters which indicate size and shape of the molecules. Since the resulting equation can be used for retention prediction of large polycyclic aromatic hydrocarbons, computer-assisted “standardless” identification is accomplished for “unknown” compounds contained in the standard.     

On-column infrared monitoring for reversed phase liquid chromatography with deuterated solvents

Infrared monitoring was accomplished in reversed phase HPLC on using deuterated solvents. The end of a micro HPLC column was flattend and used as a flow cell for on-column IR detection. Detection of alkylbenzenes and oil-soluble vitamins which were separeted on ODS packing with CD₃CN/D₂O and CD₃OD, respectively, was performed at 2940 cm^?1.     

Investigation of the low temperature effect in reversed phase micro high performance liquid chromatography

The low temperature effect has been investigated in reversed phase micro high performance liquid chromatography with various aqueous mobile phase systems by an approach based on enthalpy-entropy compensation. The compensation temperatures, Tc , were determined for these systems, and the results show that the retention mechanism in a lower temperature column is similar to that in a normal temperature column in the reversed phase mode at mobile phase water contents above 9.8%. At lower water contents, the separation mechanism is different from that in the reversed phase mode, but otherwise very similar to that in the normal phase mode.     

Microcomputer-assisted retention prediction system in reversed-phase HPLC

Summary The microcomputer-assisted retention prediction system in C₁₈ reversed-phase HPLC is described. The system is based on the use of the hydrophobic parameter and the correlation factor of alkylbenzenes and polycyclic aromatic hydrocarbons (PAHs) which are highly correlated to their retention in reversed-phase HPLC. The system is evaluated by comparing the retention data between measured and predicted values. One of the typical examples applied for PAH analysis in the extracts of diesel particulate matter shows the high potential of the system investigated.     

A new sampling technique for reversed-phase liquid chromatography/fourier-transform infrared spectrometry

A systematic study of the utility of stainless-steel wire nets (SSWN) as a substrate for infrared sampling is described. The nets can be used with polar solvents including water, as well as non-polar solvents, without harming the surface. The use of the SSWN simplifies interfacing between a reversed-phase liquid chromatograph (l.c.) and a Fourier-transform infrared spectrometer. It is used as a l.c. detector cell by collecting the effluent from l.c. on the cell itself. The technique is tested extensively with carbaryl as sample and is applied successfully to the detection of a pharmaceutical mixture (phenacetin, caffeine and aspirin) separated by reversed-phase l.c. with a (3:2, v/v) methamol/water mobile phase.