Literature
Browse through a complete list of over 280 publications that have been published using DryLab®.
Showing 21–40 of 210 results for "reverse phase"
The development of DryLab software is a special achievement in analytical HPLC which took place in the last 16 years. This paper tries to collect some of the historical mile stones and concepts. DryLab, being always subject to change according to the needs of the user, never stopped being developed. Under the influence of an ever changing science market, the DryLab development team had to consider not just scientific improvements, but also new technological achievements, such as the introduction of Windows 1.0 and 3.1, and later Windows NT and 2000. The recent availability of new 32-bit programming tools allowed calculations of chromatograms to be completed more quickly so as to show peak movements which result for example from slight changes in eluent pH. DryLab is a great success of interdisciplinary and intercontinental cooperation by many scientists.
A wide-pore silica-based superficially porous material with a high coverage phenyl bonding was evaluated for the analysis of monoclonal antibodies and antibody-drug conjugates. This new material is based on 2.7 μm particles having a shell thickness of 0.40 μm and average pore size of approximately 450 Å. Various important features of this reversed phase column technology were explored, including kinetic performance for large biomolecules (i.e. speed of analysis, efficiency and peak capacity), recovery of proteins, selectivity for resolving modifications, and the possibility to reduce the amount of trifluoroacetic acid in the mobile phase. A systematic comparison was also performed with other existing modern wide-pore phases possessing differences in structure/morphology and chemistry. If all these figures of merit are considered, it is clear that this phenyl bonded wide-pore superficially porous stationary phase is one of the most promising materials to have been developed in recent years. Indeed, it offers kinetic performance comparable to the most efficient wide-pore SPP column on the market. In terms of protein recovery, this new phase was found to be superior to silica-based and silica-hybrid C4 bonded materials, particularly with separations performed at sub-80 °C temperature. Under such conditions, it in fact shows recoveries that are quite similar to a divinyl benzene (DVB) polymer-based material. More importantly, due to its unique, high coverage phenyl bonding, it offers additional steric effects and potentially even π-π interactions that yield advantageous selectivity for mAb sub-unit peaks and ADC species as compared to commonly used C4 or C18 bonded phases. Last but not least, mobile phases consisting of only 0.02–0.05% trifluoroacetic acid can be successfully used with this column, without significant loss in recovery and peak capacity.
The separation by reversed-phase high-performance liquid chromatography of Rp and Sp diastereomers of phosphate-methylated DNA and RNA dinucleotides was studied with respect to pH, organic modifier type and concentration and reversed-phase packing material. Drylab G was used to deduce optimum conditions. On the basis of the observed discrepancies between the computer predictions and experimental results, the gradient operation procedure with volatile buffers was improved. By repetitive chromatography on a 250 × 22 mm I.D. reversed-phase column, fourteen diastereomeric pairs were obtained in at least 97% purity and 60% yield, in amounts of 10–100 mg.
Biopharmaceutical drug substances are generally produced using fermentation technology and are subsequently purified in the following downstream process. For the determination of critical quality attributes (CQAs), such as target protein titer and purity, monitoring tools are required before quality control analysis. We herein present a novel reversed phase liquid chromatography method (RPLC), which enables facile and robust protein quantification during upstream and downstream processing of intracellularly produced proteins in E. coli. The overall goal was to develop a fast, robust and mass spectrometry compatible method which can baseline resolve and quantify each protein of interest. Method development consisted of three steps, oriented on an Analytical Quality by Design (AQbD) workflow: (i) the stationary phase as primary parameter was chosen based on state-of-the art technology thus minimizing protein on-column adsorption and providing high efficiency, (ii) secondary parameters (i.e. gradient conditions and column temperature) were optimized applying chromatographic modeling, and (iii) the established Method Operable Design Region (MODR) was challenged and confirmed during robustness testing, performed in-silico and experimentally by a Design of experiment (DoE) based approach. Finally, we validated the RPLC method for pivotal validation parameters (i.e. linearity, limit of quantification, and repeatability) and compared it for protein quantification against a well-established analytical methodology. The outcome of this study shows (i) a protocol for RPLC development using an AQbD principle for new method generation and (ii) a highly versatile RPLC method, suited for quick and straightforward recombinant protein titer measurement being applicable for the detection of a broad range of proteins.
Changes in band spacing as a function of temperature and/or gradient steepness were investigated for four peptide or protein samples. Reversed-phase HPLC in a gradient mode was used to separate tryptic digests of tissue plasminogen activator and calmodulin. Additionally, a synthetic peptide mixture and a storage protein sample from wheat were studied. Simultaneous changes in gradient steepness and temperature were found to provide considerable control over band spacing and sample resolution. The effects of temperature and gradient steepness on selectivity in these systems appear to be complementary. Simultaneous optimization of both temperature and gradient steepness thus represents a powerful and convenient means of controlling band spacing and separation. Because of the complexity of these sample chromatograms, computer simulation proved to be a useful tool in both interpreting these experiments and in optimizing final separations.
Many solvents and additives are used to prepare mobile phases in liquid chromatography (LC). Also, mixtures of solvents at different ratios are used to modify the mobile-phase properties. This can make solvent selection for method development a puzzling task, unless suitable guidelines are followed. This chapter summarizes the most common strategies used by skilled chromatographers in reversed-phase, normal-phase, and hydrophilic interaction LC. These are based on considerations about the global polarity of solutes, stationary phase, and mobile phase, which determine the elution strength, and on the particular profile of the contributions of intermolecular interactions to the global polarity, which determines the selectivity. The optimization of selectivity using isoeluotropic mixtures on the rational basis provided by solvent-selectivity profiles and by systematic trial-and-error procedures in the isocratic and gradient elution modes is described. The modification of the selectivity by using combinations of solvents is discussed. Additional considerations for mobile-phase selection, including computer-assisted interpretive optimization, sustainability criteria, and use of high temperature, are also commented.
The optimized reversed-phase HPLC separation of 14 different samples is reported, based on simultaneous changes in temperature and gradient steepness. Four experimental runs are required for each sample, following which preferred conditions can be predicted using computer simulation software (DryLab). The overall accuracy and effectiveness of this method development approach is discussed, with particular attention to the use of resolution maps provided by the software. These maps are useful for maximizing resolution for the total sample, for optimizing the separation of a smaller number of selected sample compounds, and as an initial step in the separation of more demanding samples.
In Ion-pair reversed-phase chromatography, the retention of ionized analytes on a nonpolar bonded stationary phase is enhanced by the presence of a "hydrophobic" counterlon (hetaeron) in the mobile phase. Either ion-pair formation in the mobile phase with relatively strong retention of the complex or the conversion of the stationary phase into an ion-exchanger may explain the phenomenon. Analysis of the pertinent equilibria shows that the observed hyperbolic or parabolic dependence of the capacity factors on the hetaeron concentration cannot shed light on the mechanism. The experimental data obtained for the retention of catecholamlnes by using C4-C10 alkyl sulfates and other similar hetaerons in a wide concentration range, however, could be mechanistically interpreted from the chain length dependence of the parameters for the relationship between the capacity factors and hetaeron concentration. Although the results clearly demonstrate that in the system investigated, ion-pair formation governs retention, ion-exchange mechanism can be operative under certain conditions. Changes in retention upon addition of salt to the eluent are treated both theoretically and experimentally. The effect of organic solvents on the behavior of the chromatographlc system is discussed in view of the proposed theory.
The preceding paper (Part I) suggests that simply optimizing temperature and gradient steepness will often provide an adequate reversed-phase HPLC separation. In some cases, however, this procedure will prove unsuccessful, and then further method-development experiments (involving change in other separation conditions) will be required. One strategy is to change a variable other than temperature or gradient steepness, followed by re-optimization of the latter two variables. The present paper examines the application of this approach with the aid of computer simulation to several samples.
The separation of seven o-phthalaldehyde-derivatized amino acids by reversed-phase gradient elution was studied as a function of gradient time and mobile phase flow-rate. The resulting separations were compared with those from computer simulation (Drylab G). Predictions of retention time via computer simulation were found to be quite accurate, being about ±0.7% for retention time and about ±7% for retention-time differences (resolution). Predictions of band width were accurate within about ±15% for all but the steepest gradients (b > 1.0). Consequently, the ability of computer simulation to predict chromatograms reliably as a function of gradient conditions and flow-rate was confirmed for a sample that is representative of “real life”. For very steep gradients (b > 1.0), significant errors in band width were observed. The source of these errors could arise from various effects which are discussed.
Four experimental runs where temperature T and gradient time tG are varied allow the computer-prediction of reversed-phase liquid chromatographic (RPLC) separation for different combinations of temperature and gradient time. This in turn can provide significant changes in selectivity and a resulting optimization of separation. If this procedure is repeated for different columns, additional control over selectivity and resolution becomes possible. The simultaneous variation of T and tG for columns from different sources was studied for two samples, as a means of evaluating the general advantage of this approach for RPLC method development. Changes in relative retention with T were found to be approximately constant for different values of tG and for different RPLC columns; similarly, changes in relative retention with tG were roughly independent of changes in temperature or the column. The latter relationships can be useful in matching (“tracking”) peaks between runs during method development based on the present approach, as well as for other applications discussed in here and in Part II.
Computer simulation uses two experimental HPLC runs to allow prediction of sample retention as a function of mobile phase composition or gradient conditions. The general approach is rigorous, but it is assumed that reversed-phase retention obeys the relationship log k' = log kw - S 0. Small deviations in this relationship can lead to error in predicted retention times. We have studied this error empirically for several different reversed-phase systems. This provides a basis for partially correcting these errors, and suggests recommendations for avoiding significant errors during computer simulation.
Column plate numbers, N, were measured for 12 different proteins as a function of mobile phase flow-rate in two gel filtration systems (either denaturing or non-denaturing conditions). These data were used to extend a previous model that predicts bandwidths in reversed-phase and ion-exchange chromatography. Restriction of diffusion of large molecules within column packing pores is now defined more precisely, with a single relationship describing this effect for both reversed-phase and size-exclusion chromatography (SEC) (and presumably other high-performance liquid chromatography systems). Separations by gel filtration (SEC) are now included in our general model. A total of 17 flow-rate studies were carried out, involving different proteins, columns and/or mobile phase conditions (denaturing or non-denaturing). Comparisons of plate numbers predicted by the model with experimental values were satisfactory in 15 out of 17 cases. The remaining two cases appear to represent “non-well-behaved” systems, where experimental bandwidths were higher than predicted values by more than 20%. Initial attempts at understanding the origin of these non-ideal effects are described.
When separations by reversed-phase liquid chromatography (RP-LC) are carried out at temperatures other than ambient, resulting retention times and bandwidths can depend on the equipment used. As a result, an RP-LC separation that is adequate when carried out on one LC system may prove inadequate when the separation is repeated on a second system. In the present study, various temperature-related problems which can result in a failure of method transfer for non-ambient RP-LC methods were examined. Means for correcting for such effects and thereby ensuring method transferability are described.
A complex mixture of arachidonic acid metabolites was separated by reversed-phase HPLC using a multi-step gradient, which was modelled by computer-assisted HPLC method development. The metabolites were extracted on-line on a precolumn connected to the analytical column in the same HPLC system. The predictions of the resolution and also the retention times calculated by computer simulation were very accurate when compared with the corresponding experimental run (maximum deviation 0.86%). An appropriate HPLC method and additionally an on-line extraction procedure could be developed with just three experimental HPLC runs. This method could be useful for evaluating the concentrations of arachidonic acid metabolites involved in inflammatory diseases.
Several different conditions can be varied to improve selectivity for reversed-phase chromatography (RPC). A reexamination of literature data suggests that changes in selectivity due to a change of column or mobile phase pH are largely replicated by changes in temperature or mobile phase composition (concentrations of acetonitrile and/or methanol). This suggests a reconsideration of the role of mobile phase pH and the column during method development.
It has been shown previously that computer simulation based on two initial experiments can predict separation in reversed-phase gradient elution as a function of gradient conditions (gradient steepness, gradient range and gradient shape) and column conditions (column length, flow-rate and particle size). The present study extends this capability for changes in temperature. Four initial experiments (two different gradient times, two different temperatures) provide input data that allow predictions of separation as a function of temperature as well as gradient and column conditions. A semi-empirical relationship, tR=a+bT, is able to relate gradient retention time tR to column temperature T (other conditions constant). The accuracy of this approach has been evaluated for 102 solutes and a variety of experimental conditions, including the use of five different HPLC instruments (four different models).
Column technology needs further improvement even today. To get information of batch-to-batch repeatability, intelligent modeling software was applied. Twelve columns from the same production process, but from different batches were compared in this work. In this paper, the retention parameters of these columns with real life sample solutes were studied. The following parameters were selected for measurements: gradient time, temperature and pH. Based on calculated results, batch-to-batch repeatability of BEH columns was evaluated. Two parallel measurements on two columns from the same batch were performed to obtain information about the quality of packing. Calculating the average of individual working points at the highest critical resolution (Rs,crit) it was found that the robustness, calculated with a newly released robustness module, had a success rate >98% among the predicted 36=729 experiments for all 12 columns. With the help of retention modeling all substances could be separated independently from the batch and/or packing, using the same conditions, having high robustness of the experiments.