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Item type:Publication, Access status: with files , Bioreactive separation technology: a retrospective and perspective(Elsevier, 2026-03-28); ; ; ; Bluemke, WilfriedBiocatalysis, using enzymes or whole cells, offers high selectivity under mild conditions, but its broader application is often hindered by slow kinetics, equilibrium limitations, product inhibition and the processing of dilute streams in the presence of enzymes and cells. Bioreactive separation, defined as the simultaneous process of biocatalysis and separation, provides a powerful concept to overcome these barriers and therefore offers the potential of superiority over conventional processes. The current retro- and perspective paper, which is the result of an interdisciplinary workshop with academic and industry experts from the areas of biotechnology, fluid separations and process systems engineering, provides a focussed review, paired with a distinct novel definition of bioreactive separations that links to multifunctional reactors in chemical engineering and in situ product removal in biocatalysis. By establishing a common framework, this definition connects different research areas and enables systematic development. The current status of bioreactive separation processes is evaluated using SWOT analyses to identify key potentials and challenges. Based on this, a vision for 2040 is outlined, highlighting the need for advances in integration strategies, biocatalyst design, modelling and simulation, and applied research. Overall, a coordinated progress in these areas can significantly enhance the scalability and sustainability of bioprocessing.Publicationtype: Review Article48 31 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Parameter distribution analysis for enzyme kinetic models with inhibitionThe correct characterization of enzyme kinetics is an important issue for the successful implementation of an enzymatic process on an industrial scale. In this study, the calculation of parameter distribution (PD) based on the known approach of adsorption energy distribution is used to estimate the parameters of different enzyme kinetics with inhibition. For comparison, the parameters are also estimated by nonlinear regression. The results demonstrate that the PD is, in principle, capable of estimating the kinetic parameters of an enzymatic reaction with inhibition. Additionally, the application of this AED-based approach to in silico data demonstrates that the estimated parameters are in better agreement with the set parameters compared to the results obtained through nonlinear regression with a local solver. Furthermore, the efficacy of this approach in estimating kinetic parameters is also evident when it is applied to real experimental data. The successful application of the PD for the estimation of kinetic parameters opens up a further alternative to the multitude of different tools for the characterization of enzyme kinetic parameters. It should be noted that the computational effort is comparatively high. However, this must be considered in the overall context, as this approach requires very few data points and therefore not only can determine kinetic parameters very well but also has the potential to reduce experimental effort in the laboratory.Publicationtype: Journal Article23