Literature
Browse through a complete list of over 280 publications that have been published using DryLab®.
Showing 1–20 of 117 results for "large molecules"
In the pharmaceutical field, there is considerable interest in the use of peptides and proteins for therapeutic purposes. There are various ways to characterize such complex samples, but during the last few years, a significant number of technological developments have been brought to the field of RPLC and RPLC-MS. Thus, the present review focuses first on the basics of RPLC for peptides and proteins, including the inherent problems, some possible solutions and some directions for developing a new RPLC method that is dedicated to biomolecules. Then the latest advances in RPLC, such as wide-pore core-shell particles, fully porous sub-2 μm particles, organic monoliths, porous layer open tubular columns and elevated temperature, are described and critically discussed in terms of both kinetic efficiency and selectivity. Numerous applications with real samples are presented that confirm the relevance of these different strategies. Finally, one of the key advantages of RPLC for peptides and proteins over other historical approaches is its inherent compatibility with MS using both MALDI and ESI sources.
A previously reported model describes retention and band width as functions of experimental conditions, for the reversed-phase gradient elution separation of peptides and proteins. The model begins by relating separation in gradient elution to corresponding separations by isocratic elution (same high-performance liquid chromatographic system). The use of certain semi-empirical relationships then allows band width to be predicted for samples for which isocratic data are unavailable. This in turn allows the prediction of band width, peak capacity and relative peak height (or peak volume) as a function of experimental conditions such as column dimensions, gradient conditions, mobile phase flow-rate, sample molecular weight, etc. The next paper [J. Chromatogr., 327 (1985) 93] demonstrates the practical value of this approach for optimizing the separation of peptide and protein mixtures. In the present paper it is first shown that isocratic data for desamido-insulin (6000 daltons) allow the accurate prediction of band widths as a function of experimental conditions in related gradient separations. It is further shown that the present model accurately predicts how band widths vary with experimental conditions for peptides and proteins having molecular weights in the range 600–80 000 daltons.
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.
The effect of the gradient on high-performance liquid chromatographic separations has been examined from a theoretical standpoint, using computer simulations to visualize the effects of different variables. Samples to be separated by gradient elution can be classified according to their separation characteristics into three groups (referred to here as cases I, II and III). Each of these sample types responds differently to a change in gradient conditions. Case III samples exhibit changes in band spacing when the gradient conditions are varied, and gradients composed of multiple linear segments are especially useful for controlling band spacing and resolution for such samples. The effect of different gradient conditions (starting %B, gradient steepness and gradient shape) on the separation of case III samples is examined in detail.
Computer simulations can be used to develop high-performance liquid chromatographic gradient elution methods. However, the usefulness of this approach depends on the accuracy of the resulting predictions. Possible sources of error in computer simulation for the prediction of separation based on gradient elution have been investigated. This has in turn led to recommendations for minimizing such errors. With suitable precautions it appears possible to make adequately reliable predictions of separation by gradient elution. Several examples with protein mixtures as samples are reported.
Recommendations are presented for an efficient approach to the design of optimized gradients for complex samples using computer simulation. Examples based on the separation of polyaromatic hydrocarbon and ribosomal protein mixtures are shown.
A general model for describing gradient elution separations of peptides and proteins by reversed-phase high-performance liquid chromatography (HPLC) has been presented previously. This model has now been modified so that it can be applied to any of the four HPLC methods used for separating biological macromolecules: reversed-phase, ion-exchange, hydrophobic-interaction and size-exclusion chromatography, carried out in either an isocratic or gradient elution mode. The role of sample molecule structure and the particular column used has been further studied, so that previous empirical parameters for different column/sample choices can now be estimated from three physical properties of the sample and the column: (a) sample molecular weight, (b) native vs. denatured sample, (c) column packing pore diameter. This eliminates much of the empiricism of our preceding model, and minimizes the number of experimental runs now required in order to apply the model in practice. The final model has been tested for (a) several hundred runs involving peptides and proteins in the molecular weight range 600–162000, (b) all four of these HPLC methods, (c) in both isocratic and gradient elution modes, and (d) using data from several different laboratories (including our own). The model is able to predict bandwidth in HPLC separations of proteins and peptides with an accuracy of ±17% (1 standard deviation), for the case of “well-behaved” separations. Separations that are not “well-behaved” will give wider bands than predicted by the model.
"This handbook gives a general overview of the possibilities in recent developments in chromatographic retention modeling. As a result of the latest developments in modeling software, several new features are now accessible, opening a new level in HPLC method development. Many of these current possibilities in software assisted liquid chromatographic method modeling for analytical purposes are presented. Several modes of chromatography, including Reversed-Phase Liquid Chromatography (RPLC), Ion Exchange Chromatography (IEX), Hydrophobic Interaction Chromatography (HIC), and Hydrophilic Interaction Liquid Chromatography (HILIC) are explained in detail. For all these chromatographic modes, the most important variables for tuning retention and selectivity are exposed. Beside the industrial and practical benefits of retention modeling, the possibilities in teaching and education are also illustrated. Finally, numerous representative industrial examples are shown, to highlight the benefits, time and cost savings offered by state-of-the-art software assisted HPLC method development."--Publisher's website
This review summarizes the use of computer assisted liquid chromatographic method development for the analytical characterization of protein biopharmaceuticals. Several modes of chromatography including reversed-phase liquid chromatography (RPLC), ion exchange chromatography (IEX), hydrophobic interaction chromatography (HIC) and some perspectives are discussed. For all these chromatographic modes, the most important variables for tuning retention and selectivity are exposed. Then, the retention models that were applied in the literature in RPLC, IEX and HIC are described and critically discussed. Finally, some representative examples of separation of therapeutic proteins and mAbs are shown, to illustrate the possibilities offered by the retention modeling approach. At the end, the reliability of the models was excellent, whatever the chromatographic mode, and the retention time prediction errors were systematically below 2%. In addition, a significant amount of time can be saved during method development and robustness testing.
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.
Solute interaction with nonpolar stationary phases in liquid chromatography is examined on the basis of the solvophobic theory. The chromatographic process is viewed as a reversible association of the solute with the hydrocarbonaceous ligands of bonded phases. A detailed analysis of the effect of the solvent on this process yields an expression for the capacity factor with essentially no adjustable constants. The theory satisfactorily accounts for the factors affecting solute retention under a wide range of experimental conditions. It makes possible the characterization of the solvophobic (eluent) strength of mixed solvents having different composition and the evaluation of the various solvophobic forces representing incremental values of the logarithm of the capacity factor. The wide applicability of nonpolar stationary phases (reversed phases) in liquid chromatography is demonstrated by the rapid separation of biogenic acids and bases on octadecylsilica columns with neat aqueous elements.
Under “ideal” conditions it is possible to model retention in gradient elution so as to be able to calculate retention times, tg, as a function of isocratic retention in corresponding liquid chromatographic systems. In this paper we consider various “non-ideal” processes that lead to errors in calculated values of tg. The more important of these are solvent demixing due to uptake of one mobile phase component by the column packing, non-linear plots of log k′ vs. gradient time or mobile phase composition and changes in column dead-time, t0, due to changes in mobile phase composition and flow-rate. Expressions are derived to correct for these various “non-ideal” effects, including equipment limitations discussed in the preceding paper. Calculated values of tg for reversed-phase gradient elution systems then agree with experimental values to within ± 1 % (1 standard deviation) of the total gradient time, tG. These results should prove useful in (a) improving the precision of retention in gradient elution (which should be comparable to that in isocratic elution), (b) using gradient elution for more efficient method development in isocratic procedures and (c) better understanding gradient separations of macromolecules such as proteins.
Isomerization of surface-exposed aspartic acid (Asp) in the complementarity-determining regions of therapeutic proteins could potentially impact their target binding affinity because of the sensitive location, and often requires complex analytical tactics to understand its effect on structure-function and stability. Inaccurate quantitation of Asp-isomerized variants, especially the succinimide intermediate, presents major challenge in understanding Asp degradation kinetics, its stability, and consequently establishing a robust control strategy. As a practical solution to this problem, a comprehensive analytical tool kit has been developed, which provides a solution to fully characterize and accurately quantify the Asp-related product variants. The toolkit offers a combination of 2 steps, an ion-exchange chromatography method to separate and enrich the isomerized variants in the folded structure for structure-function evaluation and a novel focused peptide mapping method to quantify the individual complementarity-determining region isomerization components including the unmodified Asp, succinimide, and isoaspartate. This novel procedure allowed an accurate quantification of each Asp-related variant and a comprehensive assessment of the functional impact of Asp isomerization, which ultimately helped to establish an appropriate control strategy for this critical quality attribute.
Monoclonal antibodies (mAbs) are an emerging class of therapeutic agents that have recently gained importance. To attain acceptable kinetic performance with mAbs in reversed phase liquid chromatography, there is a need to work with the last generation of wide-pore sub-2μm fully porous or core–shell particles stationary phases. In addition, temperature in the range 60–90°C was found to be mandatory to limit adsorption phenomenon of mAbs and their fragments. A generic method development strategy was proposed to account for the selectivity, efficiency, recovery, and the possible thermal degradation. This study also demonstrated that the gradient steepness and temperature cannot be optimized using van’t Hoff type linear models. Similarly, the common linear solvent strength model also generated some error in predicting the retention times. In contrast, when quadratic models were employed, the prediction accuracy of retention times was found to be excellent (relative error between 0.5 and 1%) using a reasonable number of experiments (9 or 6 experiments for optimization of gradient time and temperature, which requires between 6 and 8h). Two separations of mAbs fragments were performed to demonstrate the reliability of the quadratic approach.