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On the optimum distribution of enzyme feed in a cascade of CSTR's performing an enzyme-catalyzed reaction with deactivation

dc.contributor.authorMoreira, N. E.
dc.contributor.authorMalcata, F. X.
dc.date.accessioned2011-09-15T08:40:38Z
dc.date.available2011-09-15T08:40:38Z
dc.date.issued1996
dc.description.abstractA search for the optimum fractional distribution of an enzyme-rich stream to the various reactors of a cascade of CSTR's was implemented. A theoretical analysis, laid out in dimensionless form and based on the assumptions that the system is operated under steady state conditions, the enzyme undergoes first order deactivation, and the reaction catalyzed by the enzyme follows Michaelis-Menten kinetics, is reported. The objective function utilised is the minimisation of the overall volume of the cascade, and analytical expressions are obtained for the concentration of active enzyme and substrate in the outlet stream from each reactor. It is found that the best option is to add the whole enzyme-rich stream to the first reactor in the cascade irrespective of the operating and kinetic parameters of the system.por
dc.identifier.citationMOREIRA, N. E. ; MALCATA, F. X. - On the optimum distribution of enzyme feed in a cascade of CSTR's performing an enzyme-catalyzed reaction with deactivation. Bioprocess and Biosystems Engineering. ISSN 0178-515X. 15:6 (1996) 301-306por
dc.identifier.doi10.1007/BF02426438
dc.identifier.urihttp://hdl.handle.net/10400.14/5582
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringer Verlagpor
dc.titleOn the optimum distribution of enzyme feed in a cascade of CSTR's performing an enzyme-catalyzed reaction with deactivationpor
dc.typejournal article
dspace.entity.typePublication
person.familyNameMalcata
person.givenNameFrancisco
person.identifier.ciencia-id1B13-38A5-35F5
person.identifier.orcid0000-0003-3073-1659
person.identifier.scopus-author-id7102542478
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublicationa06c00da-0e2f-4434-8ede-4d7b22c0dfe9
relation.isAuthorOfPublication.latestForDiscoverya06c00da-0e2f-4434-8ede-4d7b22c0dfe9

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