Effectiveness factor calculations for immobilized enzyme catalysts
dc.contributor.author | Fink, David J. | en_US |
dc.contributor.author | Na, Tsung-Yen | en_US |
dc.contributor.author | Schultz, Jerome S. | en_US |
dc.date.accessioned | 2006-04-28T16:29:17Z | |
dc.date.available | 2006-04-28T16:29:17Z | |
dc.date.issued | 1973-09 | en_US |
dc.identifier.citation | Fink, David J.; Na, Tsungyen; Schultz, Jerome S. (1973)."Effectiveness factor calculations for immobilized enzyme catalysts." Biotechnology and Bioengineering 15(5): 879-888. <http://hdl.handle.net/2027.42/37883> | en_US |
dc.identifier.issn | 0006-3592 | en_US |
dc.identifier.issn | 1097-0290 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/37883 | |
dc.description.abstract | The steady state, nonlinear diffusion equations which describe reactions in constrained enzyme solutions are of great interest in many biological and engineering applications. As in other types of nonlinear differential equations, exact analytical solutions do not exist except in some simplified cases. In this paper, a general procedure is presented for solving numerically for the substrate concentration profile and effectiveness factor utilizing the transformation method suggested by Na and Na. Design correlations for enzyme solutions constrained within spherical membranes are included. The use of a unique definition of the Thiele Modulus in these charts permits the clear illustration of the effects of substrate concentration and external mass transfer resistances on the overall effectiveness factor for the catalyst particle. | en_US |
dc.format.extent | 424674 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Wiley Subscription Services, Inc., A Wiley Company | en_US |
dc.subject.other | Chemistry | en_US |
dc.subject.other | Biochemistry and Biotechnology | en_US |
dc.title | Effectiveness factor calculations for immobilized enzyme catalysts | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Biological Chemistry | en_US |
dc.subject.hlbsecondlevel | Ecology and Evolutionary Biology | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbsecondlevel | Natural Resources and Environment | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbsecondlevel | Public Health | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48104 | en_US |
dc.contributor.affiliationum | Department of Mechanical Engineering, University of Michigan-Dearborn University of Michigan, Ann Arbor, Michigan 48104 | en_US |
dc.contributor.affiliationum | Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48104 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/37883/1/260150505_ftp.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1002/bit.260150505 | en_US |
dc.identifier.source | Biotechnology and Bioengineering | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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