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In silico evaluation of a complex multi-enzymatic system using one-pot and modular approaches : application to the high-yield production of hydrogen from a synthetic metabolic pathway
Publikationstyp
Journal Article
Date Issued
2012-10-11
Sprache
English
Author(s)
Institut
TORE-URI
Journal
Volume
87
Start Page
183
End Page
193
Citation
Chemical Engineering Science (87): 183-193 (2013)
Publisher DOI
Scopus ID
Publisher
Elsevier Science
Multi-enzymatic processes are becoming increasingly attractive for the production of chemicals and pharmaceuticals at an industrial level due to a drastic reduction on the down-stream steps that leads to a better exploitation of resources. One-pot processes (all the enzymes placed in the same reactor) are the most commonly used approach although they present a number of limitations. In this work we explore the use of modular processes (enzymes distributed in different reactors) as an alternative to overcome the limitations of one-pot processes. An in silico evaluation of different process alternatives was performed, taking as an example a multi-enzymatic system for high-yield production of hydrogen from biomass catalyzed by a synthetic metabolic pathway composed of 13 enzymes. A modular process where an hyperthermophilic hydrogenase is kept at higher temperature than the rest of the enzymes lead to a 2-fold increase in productivity, whereas a separate reactor that consumes an inhibitor of other enzymes lead to an 8-fold increase in productivity, compared to the one-pot operation. A multi-objective optimization of the one-pot process for the maximization of productivity and yield was also performed using a genetic algorithm. Productivities of up to 355mmol/L/h was expected to be achieved without compromising the high yield of the process (11.3mol of H2 produced per mol substrate) under the conditions studied. © 2012 Elsevier Ltd.
Subjects
Biochemical engineering
Mathematical modeling
Multi-enzymatic system
Multi-objective optimization
Reaction engineering
Simulation
DDC Class
540: Chemie
570: Biowissenschaften, Biologie
660: Technische Chemie
More Funding Information
Hamburg Landesexzellensinitiative
Joachim Herz Stiftung