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Optimization of Displacement and Gradient Chromatography (with Professor Bequette) Significant progress was made in developing tools for the characterization of commercial ion-exchange resin materials and the optimization of ion-exchange displacement separation of proteins. A methodology for the characterization of commercial stationary phase materials was developed based on pulse analysis. For a given stationary phase material, pulse injections of proteins were made at various flow rates and under both unretained and retained conditions. The general rate model was employed in conjunction with the Steric Mass Action (SMA) isotherm under linear adsorption conditions to develop equations relating the HETP of the elution peaks to operational parameters such as the flow rate and salt concentration. These equations were then used to estimate the relevant transport parameters (axial dispersion parameter, film mass transfer coefficient, pore and surface diffusion coefficient and desorption rate constant). Subsequently, appropriate dimensionless groups were constructed to evaluate the relative importance of the various transport mechanisms. It was demonstrated that surface diffusion played a prominent role in stationary phase materials with high capacities. We are currently extending this research on the characterization of dominant non idealities to novel chromatographic resins including monolithic materials, monodisperse beads and diffusive matrices with long chains of dextran coupled to the agarose materials. Preliminary results indicate that the monolithic materials are kinetically limited and the theoretical predictions have shed insight into the optimum performance of these materials. A novel iterative scheme was also developed to optimize ion-exchange
displacement separations of proteins. The results obtained using the iterative
scheme were confirmed using a rigorous optimization algorithm. In addition, the
utility of the iterative scheme in methods development was demonstrated using a
very challenging model separation problem. The optimum operating conditions
identified for this separation were contrary to conventional wisdom. Standard
rules of thumb suggest the use of low salt concentration and high displacer
concentration in developing displacement separations. However, if one were to
use these conditions, one would end up with an extremely low-yield process. The
optimum scheme identified the optimum conditions at relatively high salt and low
displacer concentrations. The resultant separation was dramatically improved
under these conditions and the experimental results were in excellent agreement
with the theoretical predictions. The general rate model was solved using orthogonal collocation on finite
elements (OCFE) for the non-equilibrium Langmuir isotherm and non-equlibrium
Steric Mass Action (SMA) Isotherm. The normalized space coordinates are divided
into set of discrete elements of arbitrary length. Orthogonal collocation is
performed on each normalized element. In the axial direction, Legendre
polynomials are used to solve stiff problems. In the radial direction, Jacobi
polynomials are used as they satisfy the boundary condition at the interior node
of the element. Original model equations, partial differential equations, are
converted to ordinary differential equations. The resulting temporal equations
are solved using DDASSL (Differential/Algebraic System Solver). Preliminary work has been performed for run to run control of chromatographic
separation processes. Run to run controllers are model-based controllers coupled
with an observer. Run to run control uses information from previous batches to
modify the parameters that are applied to subsequent batches, thus providing
better target tracking. The final element of run to run controller is the
control law, which specifies how the parameters for the process should be
updated. The product qualities of interest are rarely measured in situ, so the
process model (linear regressions, dynamic state space models etc.) is used to
relate the measurable inputs and states to the desired product qualities. The
process model is then used in the control law to determine which parameters, or
process inputs, should be adjusted to give the desired output. The control law
in the run to run controller specifies how the recipe must be modified in order
to keep the process on target. Representative Abstracts: Natarajan V., Bequette B.W., and Cramer, S.M. “Optimization of ion exchange displacement separations. I. Validation of an iterative scheme and its use as a methods development tool”, in press, J. Chromatogr. Displacement chromatography has been demonstrated to be a powerful,
high-resolution preparative tool. The performance of displacement systems can be
affected by a variety of factors such as the feed load, flow rate, initial salt
concentration and the displacer partition ratio. Thus, the optimization of
displacement separations is a uniquely challenging problem. In this manuscript,
an iterative optimization scheme has been presented whereby one can identify the
optimum operating conditions for displacement separations at a given level of
loading on a given resin material. The solid film linear driving force model has
been employed in concert with the Steric Mass Action formalism of ion-exchange
chromatography to describe the chromatographic behavior in these systems. Simple
pulse techniques have been employed to estimate the transport parameters. The
iterative scheme has been validated using a rigorous Feasible Sequential
Quadratic Programming algorithm. Finally, the utility of the iterative
optimization scheme as a methods development tool for displacement separations
has been demonstrated for a difficult separation. The results indicate that the
use of the optimization scheme leads to significantly better performance than
standard rules of thumb. Natarajan, V., and Cramer, S. M., “A Methodology for the Characterization of Ion-Exchange Resins”, in press. Separation Science and Technology Tremendous strides have been made in the field of stationary phase synthesis over the course of the last decade. Although important research has been carried out to elucidate the characteristics of various resins, there is currently a lack of understanding regarding the effect of the various resin materials on preparative modes of chromatography. To describe preparative chromatography, one needs to have appropriate isotherm and transport models. In this manuscript, a methodology is presented to enable the identification of appropriate transport models to describe the chromatographic behavior of solutes in preparative ion-exchange systems. The methodology involves simple pulse experiments to estimate the various transport parameters followed by the construction and analysis of various dimensionless groups to identify the dominant transport mechanisms in a given resin. Following this, one can identify an appropriate transport model to describe the chromatographic behavior of solutes on the resin material. This model is then employed in concert with the Steric Mass Action (SMA) isotherm and is validated using experimental data. The results presented in this manuscript provide significant insight into the identification of the dominant transport mechanisms on various ion-exchange resin systems. |