PEC12-25 CAPEC-PROCESS Industrial Consortium ... - DTU Orbit

PROCESS
Supervisor: JW
Start: 10-01-2011; End: 09-01-2013
Paloma Andrade Santacoloma
(PSA)
PROCESS
Supervisors: JW, KVG, GSI
Start: 01-11-2008; End: 31-10-2011
placed on the process, such as oxidation reactions. In this
project, oxidation reactions catalyzed by oxidases and/or
Baeyer-Villiger monooxygenases will be used as model
reactions to develop a standardized methodology, a “process
discovery platform”, which will guide researchers in the
establishment of cost-efficient and environmentally friendly
industrial bioprocesses.
In the first instance, scale-down laboratory reactors and
processes will be used to assess new configurations and
modes of operation. In the latter stages of the project, pilotplant
trials will serve as an assessment and a demonstration of
the new process technology on selected targets. After
collection of kinetic, stability and thermodynamic data, these
will be used for process modelling from a technical and
economic perspective. In order to evaluate also the
environmental benefits, simplified life cycle assessments of
the developed technologies will be performed.
Collaborators: UCL-London, Slovak Univ of Tech, CLEA
Technologies B.V., LentiKat´s a.s.
Multi-enzyme process modelling
Nowadays multi-enzyme processes are seen as an alternative
to assist in the synthesis of complex compounds of industrial
interest. In general, a multi-enzyme in-pot process is
characterized by the mixture of enzymes that catalyze several
reactions in a single pot. Therefore, the individual enzyme
contributes with its specific action driving thus a given
transformation to the subsequent one until the desired product
is obtain. In this manner, purification steps of intermediate
products may be eliminated. Consequently, it potentially
leads to considerable process improvements like increases in
the process yield and reduction in downstream processing and
operating costs.
Reliable mathematical models of such multi-catalytic
schemes can improve the potential benefit of this technology.
In that manner, the best outcome of the process can be
obtained on the basis of a thorough understanding of what
modifications in the system are required to optimize the use
of enzymes. In order to do this evaluation effectively, a
methodological framework is developed for the mathematical
modeling of these processes, integrated with a computeraided
methodology which enable the analysis of models,
simulations, parameter estimation, sensitivity analysis, multiobjective
criteria evaluation and the like. The idea is to use
the models to find either promising configurations for
experimental validation, or, evaluate and analyze an existing
process under different conditions by simulation, to identify
opportunities for improvement.
Research area: Process technology and units operations
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