Understanding the effects of system differences for parameter estimation and scale-up of high throughput chromatographic data.

In this paper, we evaluate how employing fraction collection and multistep gradients with RoboColumns® (Repligen, formally Atoll) affects both comparison to benchtop experimental data and column simulation parameter estimation. These operational differences arise from the RoboColumn® system (operated on an automated liquid handling device) requiring offline analysis for determination of elution profiles rather than the continuous in-line UV curves obtained with larger scale systems. In addition, multistep gradients are used to model the smooth linear gradients of larger scale systems because sequential injections are used to provide liquid flow. Comparisons of two sets of column simulations was first carried out to demonstrate that fraction collection reduced the first moments of the elution peaks by 1/2 of the fraction volumes. Additional column simulations determined that the effect of a multistep gradient approximation on retention volume was dependent upon the gradient step length. An empirical transformation was then developed to correct the first moments obtained from gradient experimental data using the RoboColumn® system. These corrected values provided a more direct comparison of the experimental data at different scales and resulted in a significant improvement in agreement with results obtained using a 20 mL benchtop column. Linear steric mass-action (SMA) parameters were then estimated using the corrected values and employed to successfully predict the performance of the benchtop system data. Finally, these parameters were demonstrated to be well suited for modeling the RoboColumn® gradient data when properly accounting for multistep gradients and fraction collection. This work continues previous investigations into understanding system differences associated with robotic liquid handling devices and proposes a methodology for properly accounting for operational differences to predict operation at larger scales using conventional chromatography systems.

Pressure-Flow experiments, packing, and modeling for scale-up of a mixed mode chromatography column for biopharmaceutical manufacturing.

To obtain consistent chromatographic behavior, it is important to develop resin packing methods in accordance with the characteristics of each resin. Resins, particularly those with a significant level of compressibility, require proper knowledge of the packing methodology to ensure scalable performance. The study demonstrates the applicability of pressure-flow modeling based on the Blake-Kozeny equation for cellulose based resins, using the MEP HyperCel (Pall) resin as a case study. This approach enabled the understanding of the appropriate bed compressibility and the determination of the minimum column diameter that can predict bed integrity during commercial manufacturing scale operation. Studies suggested that scale-dependent wall effects become negligible for column diameters exceeding 20 cm. Pressure-flow modeling produced a minimum compression recommendation of 0.206 for the MEP HyperCel resin. Columns with diameters up to 80 cm packed with this bed compression yielded incompressible beds with pressure-flow curves consistent with model predictions. Model parameter (particle diameter, viscosity, porosity) values were then varied to demonstrate how changing operating conditions influence model predictions. This analysis supported the successful troubleshooting of unexpected high pressures at the commercial manufacturing scale using MEP HyperCel resin, further supporting the applicability of this approach.

Understanding operational system differences for transfer of miniaturized chromatography column data using simulations.

In this paper, a simulation tool was employed to identify and appropriately incorporate differences between MiniColumns and benchtop column systems. It was first demonstrated that including multi-step gradients and fraction collection into the simulations resulted in improved agreement between simulated and experimental linear gradient profiles as well as calculated first moments in the MiniColumn experiments. Step elution experiments of binary mixtures (a monoclonal antibody and one of three model proteins) were then carried out to examine comparability of the MiniColumns to the benchtop system. Although the peak shapes were qualitatively similar, peak elution began earlier in the MiniColumn system while improved separation was observed between overlapping peaks using the benchtop format. Simulations were then carried out to demonstrate that increased dispersion of the eluent breakthrough in the benchtop system could readily explain these observed differences. Importantly, by incorporating these system differences into the simulations, we were able to predict benchtop step elution performance using the parameters solely obtained from the MiniColumns. The findings presented in this paper illustrate that the appropriate consideration of system differences can facilitate the implementation of miniature chromatography columns as scale-down models for bioprocess development.

Optimization of a micro-scale, high throughput process development tool and the demonstration of comparable process performance and product quality with biopharmaceutical manufacturing processes.

In this paper, we discuss the optimization and implementation of a high throughput process development (HTPD) tool that utilizes commercially available micro-liter sized column technology for the purification of multiple clinically significant monoclonal antibodies. Chromatographic profiles generated using this optimized tool are shown to overlay with comparable profiles from the conventional bench-scale and clinical manufacturing scale. Further, all product quality attributes measured are comparable across scales for the mAb purifications. In addition to supporting chromatography process development efforts (e.g., optimization screening), comparable product quality results at all scales makes this tool is an appropriate scale model to enable purification and product quality comparisons of HTPD bioreactors conditions. The ability to perform up to 8 chromatography purifications in parallel with reduced material requirements per run creates opportunities for gathering more process knowledge in less time.

Use of MiniColumns for linear isotherm parameter estimation and prediction of benchtop column performance.

In this paper, a comparison between experimental chromatography data and column simulations is carried out to determine the efficacy of using miniaturized chromatography columns (MiniColumns) for both column modeling parameter estimation and process development. Normalization of the data with respect to column volumes along with appropriate translations to account for system differences is shown to result in comparability of the experimental data for the MiniColumn and benchtop systems. A parameter estimation protocol is then employed to determine the linear steric mass-action (SMA) isotherm and lumped mass transport parameters for two cation exchange resins. The models are then validated and simulations using different parameter sets from the MiniColumn and benchtop systems are shown to result in similar predicted chromatography profiles and calculated retention volumes. The parameters generated from the MiniColumn system are demonstrated to be well suited for predicting experimental data from the benchtop system. These simulation results, the ability to operate MiniColumns in parallel, and the significantly lower material requirements per experiment support an industry trend toward increased usage of miniaturized chromatography columns as a scale-down model for process development.

Detection of trace proteins in multicomponent mixtures using displacement chromatography.

Model protein feed mixtures containing three abundant and seven trace proteins at various concentrations were identified and employed in a series of displacement experiments. Reversed-phase liquid chromatography (RPLC) and matrix assisted laser desorption ionization-time-of-flight (MALDI-TOF) mass spectrometry were used to evaluate the compositions of both the feed mixtures and effluent fractions from the displacement experiments. The results demonstrated that trace proteins were focused at the boundaries between the abundant solutes where they were enriched and concentrated. For many of the multicomponent feed mixtures, mass spectrometry analyses of the displacement column effluent fractions resulted in the identification of trace proteins that were not detectable in the feed. In addition, the use of minimal or no salt in the carrier solutions enabled the analysis of displacement fractions by direct infusion mass spectrometry. These results are significant in that they indicate that while the presence of abundant proteins can often be problematic for the detection of trace components, displacement chromatography may be able to employ these abundant proteins to focus trace proteins in the displacement train, thus facilitating detection.

The effect of feed composition on the behavior of chemically selective displacement systems.

In this paper we examine whether adding a more retained protein to the feed will mitigate displacer-protein interactions in the column, thus affecting the displacement modality that occurs (chemically selective vs. traditional displacement chromatography). STD-NMR experiments were carried out to probe displacer-protein interactions for the chemically selective displacer chloroquine diphosphate and the results indicated that this displacer only had measurable interactions with the protein alpha-chymotrypsinogen A. For a two component feed mixture containing ribonuclease A and alpha-chymotrypsinogen A, the separation resulted in the displacement of ribonuclease A, with the more hydrophobic alpha-chymotrypsinogen A remaining on the column. On the other hand, when the experiment was repeated with cytochrome c added to the feed, all three feed proteins were displaced. Column simulations indicated that the combination of sample self-displacement occurring during the introduction of the feed, along with the dynamics of the initial displacement process at the column inlet was responsible for this behavior. These results indicate that for this class of hydrophobic-based selective displacers, in order for the protein to be selectively retained, the protein should be the most strongly retained feed component.

Utilization of lysozyme charge ladders to examine the effects of protein surface charge distribution on binding affinity in ion exchange systems.

A lysozyme library was employed to study the effects of protein surface modification on protein retention and to elucidate preferred protein binding orientations for cation exchange chromatography. Acetic anhydride was used as an acetylating agent to modify protein surface lysine residues. Partial acetylation of lysozyme resulted in the formation of a homologous set of modified proteins with varying charge densities and distribution. The resulting protein charge ladder was separated on a cation exchange column, and eluent fractions were subsequently analyzed using capillary zone electrophoresis and direct infusion electrospray ionization mass spectrometry. The ion exchange separation showed a significant degree of variation in the retention time of the different variants. Several fractions contained coelution of variants, some with differing net charge. In addition, several cases were observed where variants with more positive surface charge eluted from the column prior to variants with less positive charge. Enzymatic digest followed by mass spectrometry was performed to determine the sites of acetylation on the surface of the variants eluting in various fractions. Electrostatic potential maps of these variants were then generated to provide further insight into the elution order of the variants.

Displacer concentration effects in displacement chromatography. Implications for trace solute detection.

In this paper, the utility of ion-exchange displacement chromatography for the concentration and enrichment of trace proteins is examined. Separations with varying displacer concentrations (1-25mM neomycin sulfate) indicate that higher concentrations result in elevated protein concentrations, at the price of reduced yields. The results demonstrate that displacement chromatography carried out at relatively low displacer concentrations (2.5mM) can produce significant concentration (8.5-fold) and enrichment (18-fold) of trace proteins present in the feed. Parametric simulations using the steric mass action model are carried out to investigate the concentration effects and enrichment factors observed over a wide range of feed, displacer and buffer counter-ion concentrations, and solute separation factors. The simulations confirm that trace components can be readily concentrated and enriched by displacement chromatography and that these effects will be more pronounced as the separation factor between trace and abundant components is increased. The results presented in this paper indicate the potential of displacement chromatography for improved separations where trace enrichment is critical such as proteomic applications.

Hydrogenation of benzene using aqueous solution of polyoxometalates reduced by CO over gold catalysts.

Aqueous polyoxometalate (H3PMo12O40) solution reduced by CO with liquid water using gold nanoparticle catalysts at room temperature, which contains protons in liquid water and electrons associated with the reduced polyoxometalate, can produce gaseous H2 or can hydrogenate benzene over an electrochemical cell consisting of a simple carbon anode, a proton-exchange membrane, and a Pt- or Rh-based cathode. In the present cell, H2 can be produced from the reduced H3PMo12O40 solution at voltages that are lower by about 1.15 V compared to water electrolysis.