Please use this identifier to cite or link to this item: https://doi.org/10.1002/bit.21443
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dc.titleMulti-objective optimization of an industrial penicillin V bioreactor train using non-dominated sorting genetic algorithm
dc.contributor.authorFook, C.L.
dc.contributor.authorRangaiah, G.P.
dc.contributor.authorRay, A.K.
dc.date.accessioned2014-10-09T06:54:48Z
dc.date.available2014-10-09T06:54:48Z
dc.date.issued2007-10-15
dc.identifier.citationFook, C.L., Rangaiah, G.P., Ray, A.K. (2007-10-15). Multi-objective optimization of an industrial penicillin V bioreactor train using non-dominated sorting genetic algorithm. Biotechnology and Bioengineering 98 (3) : 586-598. ScholarBank@NUS Repository. https://doi.org/10.1002/bit.21443
dc.identifier.issn00063592
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/89530
dc.description.abstractBulk of the penicillin produced is used as raw material for semi-synthetic penicillin (such as amoxicillin and ampicillin) and semi-synthetic cephalosporins (such as cephalexin and cefadroxil). In the present paper, an industrial penicillin V bioreactor train is optimized for multiple objectives simultaneously. An industrial train, comprising a bank of identical bioreactors, is run semi-continuously in a synchronous fashion. The fermentation taking place in a bioreactor is modeled using a morphologically structured mechanism. For multi-objective optimization for two and three objectives, the elitist non-dominated sorting genetic algorithm (NSGA-II) is chosen. Instead of a single optimum as in the traditional optimization, a wide range of optimal design and operating conditions depicting trade-offs of key performance indicators such as batch cycle time, yield, profit and penicillin concentration, is successfully obtained. The effects of design and operating variables on the optimal solutions are discussed in detail. © 2007 Wiley Periodicals, Inc.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1002/bit.21443
dc.sourceScopus
dc.subjectModeling and simulation
dc.subjectMulti-objective optimization
dc.subjectPareto set
dc.subjectPenicillin bioreactor
dc.typeArticle
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.doi10.1002/bit.21443
dc.description.sourcetitleBiotechnology and Bioengineering
dc.description.volume98
dc.description.issue3
dc.description.page586-598
dc.description.codenBIBIA
dc.identifier.isiut000249775800009
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