Computer Assisted Optimization of Pharmaceutical Purification - The Impact of Algorithms and Experimental Approach

• Computer assisted process optimization of chromatographic separations requires the selection of computer algorithms and measurement of relevant parameters. In this study, we will investigate how the choice of algorithms and the number of performed initial experiments affect the estimated optimal separations conditions. We will focus on conditions typically encountered for slurry packing coated 20 µm CSP in large-scale columns used for pharmaceutical intermediate purification.Probably the most essential for parameters in this context are the adsorption isotherm parameters for the components. The rapid "inverse method" is commonly used and this method requires that one numerically solve the mass balance equations describing the chromatographic process. Here we thoroughly investigate how different algorithms that solve the Equilibrium-Dispersive (ED) mass balance equations will affect the estimated adsorption isotherm parameters.Furthermore, we will investigate and compare how different strategies affect the prediction of the optimal separation conditions. First, we will use a more rapid approach that requires a minimum of experiments and uses standard algorithms to estimate optimal conditions. Secondly, we will use a more exact approach that requires more experiments and uses more advanced simulation- and optimization algorithms

Subject headings

NATURVETENSKAP  -- Kemi (hsv//swe)

NATURAL SCIENCES  -- Chemical Sciences (hsv//eng)

Keyword

Kemi

Chemistry

Publication and Content Type

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