Contributions to the Yearbook of the Max Planck Society

Contributions to the Yearbook of the Max Planck Society

2018

  • Optimization and control of chemical separation processes

    2018 Kienle, Achim
    Preparative chromatographic processes play an important role for the separation of complex mixtures. Recent research at the Max Planck Institute in Magdeburg aims at better understanding, systematic design as well as automatic control of these processes. Special focus in this contribution is on model based analysis of processes with implicit adsorption isotherms and a new self learning control concept for simulated moving bed processes.

2017

  • Computer-aided design of microbial cell factories

    2017 Steffen Klamt, Björn-Johannes Harder, Axel von Kamp
    A key principle for the rational design of cell factories is the stoichiometric coupling of growth and product synthesis, which makes production of the desired compound obligatory for growth. Using mathematical models and new computational algorithms, researchers at the Max Planck Institute in Magdeburg showed that coupling of growth and production is feasible under appropriate genetic interventions for almost all metabolites in five major production organisms. These results are of fundamental importance for rational metabolic engineering in biotechnology.

2016

  • Development of a novel tubular bioreactor for continuous production of influenza virus vaccines

    2016 Tapia, Felipe; Genzel, Yvonne; Reichl, Udo
    An increasing world population and fast spread of old and new influenza virus strains demands more efficient vaccine production methods. One approach is the use of coupled continuous bioreactors. Unfortunately, accumulation of defective interfering particles (DIPs) leads to unstable virus yields. As an alternative we have designed a novel plug-flow tubular bioreactor system, providing high influenza virus titers for up to three weeks in continuous mode using suspension MDCK cells. This novel platform can be used for other viruses and help reduce vaccine manufacturing costs worldwide.

2015

  • Iterative solvers for phase field models

    2015 Stoll, Martin
    Phase field models are a crucial tool in the modeling of complex phenomena. In this context, simulation can help to avoid or reduce the number of costly experiments. For this it is necessary to work with efficient algorithms. Here, we describe iterative solvers that deal with the discretized differential equation models and thus allow for an accurate solution of the problems.

2014

  • Coupling of continuous reaction and separation processes

    2014 Horosanskaia, Elena; Horváth, Zoltán; Lee, Ju Weon; Lorenz, Heike; Seidel-Morgenstern, Andreas
    Bulk chemicals are typically produced using processes, which supply the product stream in a continuous manner. In contrast, the production of fine chemical and pharmaceutical ingredients is characterized by batch-wise operation, connected with dead times, fluctuating product qualities and reduced productivity. This contribution summarizes selected results of several research projects devoted to promote continuous production processes.

2013

  • Novel computational approaches to elucidate the topology of cellular signaling networks

    2013 Klamt, Steffen

    Dynamic processes in the cell are triggered and controlled by networks of interacting biomolecules, often comprising tens or hundreds of components. Although a vast amount of players (proteins, genes, metabolites) has been identified, their mutual interactions remain often hidden. Computational methods for reconstructing the topologies of cellular networks from experimental data are therefore a key research area in Systems Biology. The ARB group at the MPI in Magdeburg developed novel algorithms for biological network reconstruction and applied them successfully to realistic problems.

2012

  • Better understanding of electrochemical processes using dynamics

    2012 Krewer, Ulrike
    Electrochemical energy systems like fuel cells, batteries and electrolysis cells are attractive for future energy systems as they are highly energy efficient and can follow the dynamic demand of energy or can convert a dynamic oversupply of electricity gained from renewables into chemical energy. A deeper understanding of the complex processes at electrodes and in such cells can be reached when systematically applying dynamic electrochemical analysis methods. In addition, such methods may be used to detect the state of cells and electrodes or even to sense concentrations.
  • Molecular complexity in chemistry and biology

    2012 Stein, Matthias
    Operations in chemistry and biology are based on complex interactions between molecules. The biological and chemical generation of hydrogen, one of the energy carriers of the future, by enzymes or catalysts at ambient temperature was investigated by applying various computational approaches. Nature-inspired chemical systems are necessary in order to reveal details of the enzymatic system. In molecular systems biology, the focus and the way of investigations shift and enable the understanding of interactions and kinetics of proteins in networks.

2011

  • Compact models for simulation, control and optimization of complex dynamical systems

    2011 Benner, Peter
    Model reduction significantly accelerates the computer simulation of dynamical systems. It facilitates or even enables their control and optimization. Thus, model reduction is becoming more and more an indispensable tool in computational sciences and engineering. The mathematical model of the dynamical process is replaced by a compact model. Simulating the compact model is then often sufficient to obtain the quantities of interest of the process. We will give a brief introduction into the model reduction of dynamical systems and illustrate its potential using some engineering applications.

2010

  • Targeted drug delivery: Aggregation in particle-cell systems

    2010 Rollié, Sascha; Sundmacher, Kai
    To increase the efficiency of medication, carrier particles could soon deliver pharmaceutical substance exclusively to special target cells in an organism. For an understanding of these targeting processes model-based simulation studies are very helpful. The modeling of the biocolloidal systems is based on foundations from particle technology. Result: Despite substantial scattering of the experimental data, central parameters were identified. It was found that most drug targeting processes are rate limited due to the low receptor concentration on the surface of the target cells.

2009

  • Control of fuel cell systems

    2009 Mangold, Michael; Kienle, Achim
    Fuel cells offer a highly efficient way to generate electrical energy. Therefore they may be an important element in a future energy supply structure. However, the operation and control of fuel cell systems is quite demanding. This contribution illustrates typical challenges for control of fuel cell systems in different power ranges and outlines solution approaches.

2008

  • Generation of movement patterns for stroke patients by means of controlled electrical stimulation

    2008 Schauer, Thomas; Raisch, Jörg
    Rehabilitation after stroke requires repetitive exercising of impaired movements to relearn lost motor functions. Functional electrical stimulation (FES) represents one possibility to generate movements in the presence of paresis. Using this method, paretic muscles are activated. This provides efficient stimuli for the central nervous system to enhance motoric facilitation. However, precise movements can only be realized by electrical stimulation if the latter is embedded into a feedback control loop, where the stimulation intensity is permanently adapted depending on the continuously measured state of the movement.

2007

  • Influenza Virus Vaccine Production in disposable bioreactors

    2007 Genzel, Yvonne; Reichl, Udo
    Discussion on preparedness for a possible influenza pandemic is still ongoing. Authorities and public interest have now accelerated the development of alternative production systems to the classical egg-based production. New disposable bioreactors have been evaluated in the upstream processing group using different analytical tools comparing the influenza virus production with two different mammalian cells. These bioreactors show a potential for fast and simple up-scaling of production capacities in case of a pandemic.

2006

2005

  • Crystallisation of enantiomers

    2005 Elsner, Martin P.; Lorenz, Heike; Seidel-Morgenstern, Andreas
    Pure enantiomers are of large interest in the pharmaceutical industry and for the production of fine chemicals. Chemical synthesis is frequently not selective and provides racemic (50:50) mixtures requiring subsequently efficient separation processes. A possible method to solve this difficult separation problem is offered by enantioselective crystallization processes. In the article the application of the so-called "Preferential Crystallisation" technique for resolution of racemates is discussed.

2004

  • Dynamics of Population Balance Systems: Particle Precipition in Emulsions

    2004 Niemann, Björn; Rauscher, Frank; Voigt, Andreas; Sundmacher, Kai
    The liquid phase precipitation of solid particles in emulsion droplets allows the precise control of the particle properties. In particular, narrowly distributed nanoparticles can be synthesized whose size distribution and morphology can be controlled by adjusting the process parameters.

2003

  • Nonlinear Wave Propagation in Chemical Processes

    2003 Kienle, Achim
    The dynamic behavior of many chemical processes is governed by travelling temperature and concentration fronts also termed nonlinear waves in Physics and Applied Mathematics. These nonlinear waves provide an easy understanding of the process dynamics and thereby guide the way to improved process operation and control as well as new process concepts. Recent research at the Max-Planck-Institute for Dynamics of Complex Technical Systems in Magdeburg is concerned with an extension of the theoretical fundamentals for combined reaction separation processes. Further, applications for model based measurment and control are investigated.
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