Factors affecting therapeutic protein purity and yield during chromatographic purification.

Therapeutic proteins are recombinant proteins generated through recombinant DNA technology and have attracted a great deal of interest in numerous applications, including pharmaceutical, cosmetic, human and animal health, agriculture, food, and bioremediation. Producing therapeutic proteins on a large scale, mainly in the pharmaceutical industry, necessitates a cost-effective, straightforward, and adequate manufacturing process. In industry, a protein separation technique based mainly on protein characteristics and modes of chromatography will be applied to optimize the purification process. Typically, the downstream process of biopharmaceutical operations may involve multiple chromatography phases that require the use of large columns pre-packed with resins that must be inspected before use. Approximately 20% of the proteins are assumed to be lost at each purification stage during the production of biotherapeutic products. Hence, to produce a high quality product, particularly in the pharmaceutical industry, the correct approach and understanding of the factors influencing purity and yield during purification are necessary.

Systematic assessment of process analytical technologies for biologics.

The application of process analytical technology (PAT) for biotherapeutic development and manufacturing has been employed owing to technological, economic, and regulatory advantages across the industry. Typically, chromatographic, spectroscopic, and/or mass spectrometric sensors are integrated into upstream and downstream unit operations in in-line, on-line, or at-line fashion to enable real-time monitoring and control of the process. Despite the widespread utility of PAT technologies at various unit operations of the bioprocess, a holistic business value assessment of PAT has not been well addressed in biologics. Thus, in this study, we evaluated PAT technologies based on predefined criteria for their technological attributes such as enablement of better process understanding, control, and high-throughput capabilities; as well as for business attributes such as simplicity of implementation, lead time, and cost reduction. The study involved an industry-wide survey, where input from subject matter industry experts on various PAT tools were collected, assessed, and ranked. The survey results demonstrated on-line liquid Chromatography (LC), in-line Raman, and gas analysis techniques are of high business value especially at the production bioreactor unit operation of upstream processing. In-line variable path-length UV/VIS measurements (VPE), on-line LC, multiangle light scattering (MALS), and automated sampling are of high business value in Protein A purification and polishing steps of the downstream process. We also provide insights, based on our experience in clinical and commercial manufacturing of biologics, into the development and implementation of some of the PAT tools. The results presented in this study are intended to be helpful for the current practitioners of PAT as well as those new to the field to gauge, prioritize and steer their projects for success.

Functional in vitro assessment of modified antibodies: Impact of label on protein properties.

Labelling of therapeutic antibodies with radionuclides or fluorophores is routinely used to study their pharmacokinetic properties. A critical assumption in utilizing labelled therapeutic antibodies is that the label has no unfavourable effects on antibody charge, hydrophobicity, or receptor affinity. Ideally, the labelled protein should not have any significant deviations from the physiological properties of the original molecule. This article describes an established quality in vitro assessment workflow for labelled antibodies that ensures better prediction of changes in antibody pharmacokinetic (PK) properties after modifications. This analysis package considers degradation and aggregation analysis by size-exclusion chromatography, changes in neonatal-Fc-receptor (FcRn) affinity, and heparin interaction. FcRn binding is important for antibody recycling and half-life extension, whereas heparin affinity provides estimates on the rate of endocytosis through unspecific cell surface binding. Additionally, mass spectrometric analysis to determine the degree of labelling (DoL) completes the package and the combined analysis data allow to predict the label contribution to the PK properties of the modified antibody. This analytical strategy for labelling 11 IgGs has been investigated using 2 different IgG1 constructs and applying 7 different types of labels. Each labelling resulted in a change in the physicochemical properties of the protein. Not only can the DoL of modified IgGs lead to a change in protein properties, but the type of label also can. Furthermore, it was demonstrated that the labelling process can also influence the behaviour of labelled mAbs. An identical label on different constructs of IgG1 can cause different affinities for FcRn and heparin. Considering the assessment data, only 6 of the 11 modified antibodies from this study can be recommended for subsequent experiments. In conclusion, a suitability assessment of labelled antibodies prior to any pharmacokinetic studies is essential to reduce cost, allocate resources and reduce the number of animal experiments during pre-clinical drug development.

Assessment of the resolving power of hydrophobic interaction chromatography for intact protein analysis on non-porous butyl polymethacrylate phases.

This study reports on the assessment of the separation performance of hydrophobic interaction chromatography for intact protein analysis using non-porous butyl polymethacrylate phases. The maximum peak capacity in inverse gradient mode was reached at a volumetric flow rate which was significantly (10-20 times) higher than the flow rate yielding the minimum plate height in isocratic mode, as the gradient volume dominates the peak-capacity generation. The flow rate yielding the maximum peak capacity increased with decreasing gradient volume, i.e., steeper gradients, and also depends on the magnitude of the mass-transfer contribution to peak dispersion (affected by particle size and molecular diffusion coefficient of proteins) at these high flow rates. The maximum peak capacity using a 100 mm long column packed with 4 µm particles for steep 7.5 min gradients was determined to be 60. Increasing the column length by coupling columns leads to better gradient performance than increasing the gradient duration for gradients of 60 min and longer. Using a coupled column system (2 × 100 mm long columns packed with 4 µm particles), the maximum peak capacity was determined to be 105, which was 33% higher compared to that of a single column while applying a similar gradient volume. Decreasing the particle size to 2.3 µm leads to higher peak capacities even though the column was operated at lower volumetric flow rate. The maximum peak capacity obtained with the 2.3 µm column was 128% higher than was obtained with the coupled column. Even at suboptimal conditions, the 2.3 µm column yields a higher peak capacity (14%) than when using two coupled columns packed with 4 µm at optimal conditions (gradient time of 120 min and a flow rate of 0.5 mL/min).

Trueness assessment of routine electrolytes measuring systems using the candidate reference method by ion chromatography.

Electrolytes for sodium, potassium, magnesium, and calcium are important serum ions that are frequently assayed in clinical laboratories. In this study, we assessed the trueness of routine analytical systems for four cations using an inexpensive candidate reference method aimed to promote the standardization of serum electrolyte detection. An ion chromatography (IC) method with Cesium as an internal standard was developed and evaluated. The residual clinical serum samples at Chaoyang Hospital were collected and prepared into three human serum pools of electrolytes, which were used for the trueness evaluation of five routine analytical systems. Furthermore, the agreement between routine methods and the IC method was verified using 40 individual human samples. The recovery rates of sodium, potassium, magnesium and calcium were 99.69%, 100.34%, 100.43% and 99.89%, respectively. The intra-batch standard deviation and intra-laboratory precision of NIST SRM 956c were all less than 1% for the four ions. The certified values were within the validation range, and the deviation between the results and the certified values were less than 0.5%. The three serum pools were homogeneous and stable. All routine systems aligned with the IC method for four cations and achieved the analytical quality specifications for potassium and magnesium at 3 different concentrations. The developed IC method is simple, practical, accurate, and precise, which can be used as a candidate reference method for serum electrolytes measurement. Five routine analytical systems for electrolytes measurement had the acceptable bias for potassium and magnesium and their results showed good concordance.

Low-cost and open-source strategies for chemical separations.

In recent years, a trend toward utilizing open access resources for laboratory research has begun. Open-source design strategies for scientific hardware rely upon the use of widely available parts, especially those that can be directly printed using additive manufacturing techniques and electronic components that can be connected to low-cost microcontrollers. Open-source software eliminates the need for expensive commercial licenses and provides the opportunity to design programs for specific needs. In this review, the impact of the "open-source movement" within the field of chemical separations is described, primarily through a comprehensive look at research in this area over the past five years. Topics that are covered include general laboratory equipment, sample preparation techniques, separations-based analysis, detection strategies, electronic system control, and software for data processing. Remaining hurdles and possible opportunities for further adoption of open-source approaches in the context of these separations-related topics are also discussed.

Gestión de riesgos relativo al cambio de campaña productiva durante la etapa de desarrollo tecnológico en una instalación multiproducto / Risk-management related to the productive campaign change during technological development stage in a multi-product facility

Los nuevos paradigmas de la industria farmacéutica en el siglo XXI incorporan el uso de las técnicas de gestión de la calidad, necesarias en el cumplimiento de las buenas prácticas de fabricación en el sector biotecnológico. En este caso de estudio, se aplicó la gestión de riesgo en el cambio de campaña entre los ingredientes farmacéuticos activos de futuros candidatos inmunoterapeúticos contra el cáncer, en la etapa de desarrollo tecnológico en una instalación multiproducto certificada. Las causas potenciales de mayor influencia en las fallas son: la calificación del personal de la Dirección de Desarrollo Tecnológico en los procedimientos patrones de operación de la planta, la mezcla entre los componentes y materiales no dedicados utilizados en el proceso de purificación cromatográfica, la documentación en elaboración o aprobación y el establecimiento de las técnicas analíticas en función de la etapa del proyecto. Como resultado se proponen acciones que minimizan los riesgos de la contaminación cruzada y hacen viable un adecuado cambio de campaña entre la fabricación de los inmunoterapéuticos, durante el desarrollo tecnológico en una instalación multiproducto de la industria biotecnológica(AU)

The new paradigms of the pharmaceutical industry in the 21st century introduce the use of modern quality management techniques to comply with good manufacturing practices in the biotechnological area. In this paper, it was applied the risk management for the campaign change among the process for obtaining the active pharmaceutical ingredients to future immunotherapeutic candidates at the technological development stage in a certified multi-product facility. Particularly, the training for the development personnel in the standard operating procedures of the facility, the mixture between the components and non-dedicated materials used in the chromatographic purification process, the documentation in the preparation or approval, and the establishment of analytical techniques depending on the stage of the project are the potential causes of greater influence. As a result, actions are proposed to minimize risks and carry out an adequate campaign change feasible between the manufacture of immunotherapeutics during the technological development stage in a biotechnological multi-product facility(AU)

Unraveling peak asymmetry in chromatography through stochastic theory powered Monte Carlo simulations.

An overarching theory of chromatography capable of modeling all analyte-stationary phase interactions would enable predictive design of pharmaceutically relevant separations. The stochastic theory of chromatography has been postulated as a suitable basis to achieve this goal. Here, we implement Dondi and Cavazzini's Monte Carlo framework that utilizes experimentally accessible single molecule kinetics and use it to correlate heterogenous adsorption statistics at the stationary phase to shifts in asymmetry. The contributions cannot be captured or modeled through ensemble chemometrics. Simulations reveal that peak asymmetry scales non-linearly with longer analyte-stationary phase interactions and migrates towards symmetry across the column length, even without column overloading.

Quality assessment of herbal medicines based on chemical fingerprints combined with chemometrics approach: A review.

Herbal medicine (HM) has been playing a pivotal role in maintaining human health since ancient times, and its therapeutic theory and clinical experience are the precious traditional medical knowledge reserves. As HM occupies an important position in its own right in global healthcare systems, robust quality assessment and control over its complex chemical composition was of great significance to assure its efficacy and safety. Over the past decades, the concept of HM chemical fingerprints aiming to obtain a comprehensive characterization of complex chemical matrices has become one of the most convincing tools for the quality assessment of HM. This review summarizes the recent analytical techniques used to generate HM chemical fingerprints, including chromatography, vibrational spectroscopy, nuclear magnetic resonance spectroscopy, and mass spectrometry. The advantages, drawbacks, and the application scope of each technology have been scrutinized in an attempt to better understand the data analysis. Furthermore, HM fingerprints together with multivariate and multiway chemometrics methods used for different application domains, such as similarity, exploratory, classification, and regression analysis, have also been discussed and illustrated with a few typical studies. The article provides a general picture and workflow of fingerprinting analyses that have been used for the quality assessment of HM.

Assessment of the Prevalence of Non-Organ-Specific Autoantibodies in Egyptian Patients with HCV.

The relation between non-organ specific autoantibodies (NOSA) and hepatitis C virus (HCV) infection has been investigated within different communities resulting in different prevalence rates and patterns. The purpose of this study was to investigate the prevalence of some NOSA such as RF-IgG, ANA, ASMA, and LKM-1 in Egyptian patients with HCV group as compared with Egyptian healthy controls group. A total of 186 HCV positive serum samples in addition to 81 samples from healthy control were screened for the presence of some common autoantibodies (RF-IgG, ANA, ASMA, and LKM-1) using ELISA technique for ANA, ASMA, and LK-1 while RF-IgG was assayed by latex agglutination technique. The presence of these autoantibodies was tested in relation to some demographic variables and viral titers. Associations were assessed using logistic regression analysis adjusted for potential confounders. Among patients, 100 (53.7%) of 186 and 6 (7.4%) of 81 healthy control group were positive for at least one autoantibody. Furthermore, 2 patients (1%) were positive for three autoantibodies, whereas 22 patients (11.7%) were positive for 2 autoantibodies. The most prevalent autoantibody in anti-HCV-positive group was RF-IgG (87, 46.7%) followed by ASMA (26, 14%). The frequency of autoantibodies was bit higher in women as compared to men. Taken together, this study reports a non-significant difference in prevalence of NOSA between patients with HCV infection and healthy individuals except for ASMA. Likewise, no significant difference was found in prevalence of such autoantibodies when correlated with some demographic variables.

Assessment of gut microbiota fecal metabolites by chromatographic targeted approaches.

Gut microbiota, the specific microbial community of the gastrointestinal tract, by means of the production of microbial metabolites provides the host with several functions affecting metabolic and immunological homeostasis. Insights into the intricate relationships between gut microbiota and the host require not only the understanding of its structure and function but also the measurement of effector molecules acting along the gut microbiota axis. This article reviews the literature on targeted chromatographic approaches in analysis of gut microbiota specific metabolites in feces as the most accessible biological matrix which can directly probe the connection between intestinal bacteria and the (patho)physiology of the holobiont. Together with a discussion on sample collection and preparation, the chromatographic methods targeted to determination of some classes of microbiota-derived metabolites (e.g., short-chain fatty acids, bile acids, low molecular masses amines and polyamines, vitamins, neurotransmitters and related compounds) are discussed and their main characteristics, summarized in Tables.

Comparison of Different Nisin Separation and Concentration Methods: Industrial and Cost-Effective Perspectives.

Separation and concentration of biotechnological products are the most important steps of purification stage in downstream processing. In the present study, three nisin separation and concentration methods including salting out by ammonium sulfate, solvent extraction (at 20 °C, 4 °C, and - 10 °C) and direct chromatography of culture medium were compared with each other. According to our results, nisin precipitation by ammonium sulfate at 40% saturation was the most efficient method (yield = 90.04%, purification fold = 168.80). Low yield and fold purification values were obtained by solvent extraction with chloroform (yield = 24.23%, fold purification = 37.43 at - 10 °C) and direct cation exchange chromatography of culture medium (yield = 20.00%, fold purification = 1.80). Also, performing purification steps in low pH values and acidic conditions (pH = 3.0) is essential for efficient nisin purification.

Prediction uncertainty assessment of chromatography models using Bayesian inference.

Mechanistic modeling of chromatography has been around in academia for decades and has gained increased support in pharmaceutical companies in recent years. Despite the large number of published successful applications, process development in the pharmaceutical industry today still does not fully benefit from a systematic mechanistic model-based approach. The hesitation on the part of industry to systematically apply mechanistic models can often be attributed to the absence of a general approach for determining if a model is qualified to support decision making in process development. In this work a Bayesian framework for the calibration and quality assessment of mechanistic chromatography models is introduced. Bayesian Markov Chain Monte Carlo is used to assess parameter uncertainty by generating samples from the parameter posterior distribution. Once the parameter posterior distribution has been estimated, it can be used to propagate the parameter uncertainty to model predictions, allowing a prediction-based uncertainty assessment of the model. The benefit of this uncertainty assessment is demonstrated using the example of a mechanistic model describing the separation of an antibody from its impurities on a strong cation exchanger. The mechanistic model was calibrated at moderate column load density and used to make extrapolations at high load conditions. Using the Bayesian framework, it could be shown that despite significant parameter uncertainty, the model can extrapolate beyond observed process conditions with high accuracy and is qualified to support process development.

Quantitative assessment of environmental impact of biologics manufacturing using process mass intensity analysis.

Process mass intensity (PMI) is a benchmarking metric to evaluate the efficiency of a manufacturing process, which is indicative of the environmental impact of the process. Although this metric is commonly applied for small molecule manufacturing processes, it is less commonly applied to biologics. In this study, an Excel based tool developed by the ACS GCI Pharmaceutical Roundtable was used to calculate PMI of different manufacturing processes for a monoclonal antibody (mAb). For the upstream process, three different versions were compared: fed-batch, fed-batch with N-1 perfusion, and perfusion in the N-stage bioreactor. For each upstream process version, an appropriate downstream operational mode was evaluated from the following: a column chromatography process utilizing Protein A and anion exchange (AEX) resin, a Protein A column and an AEX membrane, and a three-column periodic counter-current (3C PCC) chromatography process for Protein A and an AEX membrane. The impact of these different process variations on PMI was evaluated. Of all the process inputs, water contributes about 92-94% of the overall PMI. Additionally, the upstream processes and the chromatography steps account for 32-47 and 34-54% of the overall PMI, respectively. Sensitivity analysis was performed to identify opportunities for further reducing PMI. These data indicate that a semicontinuous manufacturing process (perfusion, 3C PCC, and AEX membrane) is the most efficient process, resulting in a 23% reduction of PMI when compared with the fed batch and two-column chromatography process. Together, PMI can be used to guide the development of efficient and environmentally sustainable mAb manufacturing processes. © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 34:1566-1573, 2018.

Multiproduct Resin Reuse for Clinical and Commercial Manufacturing-Methodology and Acceptance Criteria.

Chromatography resins used for purifying biopharmaceuticals are generally dedicated to a single product. In good manufacturing practice (GMP) facilities that manufacture a limited amount of any particular product, this practice can result in the resin being used for a fraction of its useful life. A methodology for extending resin reuse to multiple products is described. With this methodology, resin and column performance, product carryover, and cleaning effectiveness are continually monitored to ensure that product quality is not affected by multiproduct resin reuse (MRR). Resin and column performance is evaluated in terms of (a) system suitability parameters, such as peak-shape and transition, and height equivalent theoretical plate (HETP) data; (b) key operating parameters, such as flow rate, inlet pressure, and pressure drop across the column; and (c) process performance parameters, such as impurity profiles, product quality, and yield. Historical data are used to establish process capability limits (PCLs) for these parameters. Operation within the PCLs provides assurance that column integrity and binding capacity of the resin are not affected by MRR.Product carryover defined as the carryover of the previously processed product (A) into a dose of the subsequently processed product (B) (COA→B), should be acceptable from a predictive patient safety standpoint. A methodology for determining COA→B from first principles and setting acceptance limits for cleaning validation is described.Cleaning effectiveness is evaluated by performing a blank elution run after inter-campaign cleaning and prior to product changeover. The acceptance limits for product carryover (COA→B) are more stringent for MRR than for single-product resin reuse. Thus, the inter-campaign cleaning process should be robust enough to consistently meet the more stringent acceptance limits for MRR. Additionally, the analytical methods should be sensitive enough to adequately quantify the concentration of the previously processed product (A) and its degradants in the eluent.General considerations for designing small-scale chromatographic studies for process development are also described. These studies typically include process-cycling runs with multiple products followed by viral clearance studies with a panel of model viruses. Small-scale studies can be used to optimize cleaning parameters, predict resin performance and product quality, and estimate the number of multiproduct purification cycles that can be run without affecting product quality. The proposed methodology is intended to be broadly applicable; however, it is acknowledged that alternative approaches may be more appropriate for specific scenarios.LAY ABSTRACT: Chromatography resins used for purifying biopharmaceuticals are generally dedicated to a single product. In good manufacturing practice (GMP) facilities that make a limited amount of any particular product, this practice can result in the resin being used for a fraction of its useful life. A methodology for extending resin reuse to multiple products is described. With this methodology, resin and column performance, product carryover, and cleaning effectiveness are continually monitored to ensure that product quality is not affected by multiproduct resin reuse.General considerations for designing small-scale chromatographic studies for process development are described. These studies typically include process-cycling runs with multiple products followed by viral clearance studies with a panel of model viruses. Small-scale studies can be used to optimize cleaning parameters, predict resin performance and product quality, and estimate the number of multiproduct purification cycles that can be run without impacting product quality.The proposed methodology is intended to be broadly applicable; however, it is acknowledged that alternative approaches may be more appropriate for specific scenarios.

Monoclonal antibody N-glycosylation profiling using capillary electrophoresis - Mass spectrometry: Assessment and method validation.

Characterization of therapeutic proteins represents a major challenge for analytical sciences due to their heterogeneity caused by post-translational modifications (PTM). Among these PTM, glycosylation which is possibly the most prominent, require comprehensive identification because of their major influence on protein structure and effector functions of monoclonal antibodies (mAbs). As a consequence, glycosylation profiling must be deeply characterized. For this application, several analytical methods such as separation-based or MS-based methods, were evaluated. However, no CE-ESI-MS approach has been assessed and validated. Here, we illustrate how the use of CE-ESI-MS method permits the comprehensive characterization of mAbs N-glycosylation at the glycopeptide level to perform relative quantitation of N-glycan species. Validation of the CE-ESI-MS method in terms of robustness and reproducibility was demonstrated through the relative quantitation of glycosylation profiles for ten different mAbs produced in different cell lines. Glycosylation patterns obtained for each mAbs were compared to Hydrophilic Interaction Chromatography of 2-aminobenzamide labelled glycans with fluorescence detector (HILIC-FD) analysis considered as a reference method. Very similar glycoprofiling were obtained with the CE-ESI-MS and HILIC-FD demonstrating the attractiveness of CE-ESI-MS method to characterize and quantify the glycosylation heterogeneity of a wide range of therapeutic mAbs with high accuracy and precision.

Mechanical characterisation of agarose-based chromatography resins for biopharmaceutical manufacture.

Mechanical characterisation of agarose-based resins is an important factor in ensuring robust chromatographic performance in the manufacture of biopharmaceuticals. Pressure-flow profiles are most commonly used to characterise these properties. There are a number of drawbacks with this method, including the potential need for several re-packs to achieve the desired packing quality, the impact of wall effects on experimental set up and the quantities of chromatography media and buffers required. To address these issues, we have developed a dynamic mechanical analysis (DMA) technique that characterises the mechanical properties of resins based on the viscoelasticity of a 1ml sample of slurry. This technique was conducted on seven resins with varying degrees of mechanical robustness and the results were compared to pressure-flow test results on the same resins. Results show a strong correlation between the two techniques. The most mechanically robust resin (Capto Q) had a critical velocity 3.3 times higher than the weakest (Sepharose CL-4B), whilst the DMA technique showed Capto Q to have a slurry deformation rate 8.3 times lower than Sepharose CL-4B. To ascertain whether polymer structure is indicative of mechanical strength, scanning electron microscopy images were also used to study the structural properties of each resin. Results indicate that DMA can be used as a small volume, complementary technique for the mechanical characterisation of chromatography media.

Linear Quantitative Profiling Method Fast Monitors Alkaloids of Sophora Flavescens That Was Verified by Tri-Marker Analyses.

The present study demonstrated the use of the Linear Quantitative Profiling Method (LQPM) to evaluate the quality of Alkaloids of Sophora flavescens (ASF) based on chromatographic fingerprints in an accurate, economical and fast way. Both linear qualitative and quantitative similarities were calculated in order to monitor the consistency of the samples. The results indicate that the linear qualitative similarity (LQLS) is not sufficiently discriminating due to the predominant presence of three alkaloid compounds (matrine, sophoridine and oxymatrine) in the test samples; however, the linear quantitative similarity (LQTS) was shown to be able to obviously identify the samples based on the difference in the quantitative content of all the chemical components. In addition, the fingerprint analysis was also supported by the quantitative analysis of three marker compounds. The LQTS was found to be highly correlated to the contents of the marker compounds, indicating that quantitative analysis of the marker compounds may be substituted with the LQPM based on the chromatographic fingerprints for the purpose of quantifying all chemicals of a complex sample system. Furthermore, once reference fingerprint (RFP) developed from a standard preparation in an immediate detection way and the composition similarities calculated out, LQPM could employ the classical mathematical model to effectively quantify the multiple components of ASF samples without any chemical standard.

Bioanalytical method transfer considerations of chromatographic-based assays.

Bioanalysis is an important part of the modern drug development process. The business practice of outsourcing and transferring bioanalytical methods from laboratory to laboratory has increasingly become a crucial strategy for successful and efficient delivery of therapies to the market. This chapter discusses important considerations when transferring various types of chromatographic-based assays in today's pharmaceutical research and development environment.

Evaluation of center-cut separations applying simulated moving bed chromatography with 8 zones.

Different multi-column options to perform continuous chromatographic separations of ternary mixtures have been proposed in order to overcome limitations of batch chromatography. One attractive option is given by simulated moving bed chromatography (SMB) with 8 zones, a process that offers uninterrupted production, and, potentially, improved economy. As in other established ternary separation processes, the separation sequence is crucial for the performance of the process. This problem is addressed here by computing and comparing optimal performances of the two possibilities assuming linear adsorption isotherms. The conclusions are presented in a decision tree which can be used to guide the selection of system configuration and operation.