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    Item type:Research Data, Access status: with files ,
    EnzymeVision - Automated Kinetic Model Identification of Biocatalysts Under Process Conditions
    (2024-04-02)
    Hennecke, Leon
    ;
    Schaare, Lucas
    ;
    Garlipp, Jonathan
    ;
    Nitschke, Eric
    The python scripts are used to automatically control four syringe pumps (AL-1000, World Precision Instruments, Saragosa, USA) to perform continuous experiments (reduction of NAD+ with sodium formate to NADH) with a packed bed reactor with immobilized formate dehydrogenase. For monitoring, a flow through cuvette (170.700 QS, Hellma GmbH & Co. KG, Müllheim) is applied with a UV light source (DH-2000-BAL, Ocean Insight, Orlando, USA) and spectrometer (HR4000, Ocean Insight, Orlando, USA). The volume flow is monitored with a flow meter (SLF3S-0600F, Sensirion, Stäfa, Switzerland). The flow meter, spectrometer and daisy-chained syringe pumps are applied via USB to a Laptop. The MATLAB scource codes allow the optimal experimental planning for model discrimination and parameter estimation of the formate dehydrogenase. In addition, the evaluation of the model identifcation are produced in a comprehensive results report. Includes: Python scripts for the automated execution of experiments. Matlab scripts for the kinetic model identification and optimal experimental design.
    Data Type: Software
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