Please use this identifier to cite or link to this item: https://doi.org/10.1002/bit.20182
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dc.titleOptimal operating mode for enantioseparation of SB-553261 racemate based on simulated moving bed technology
dc.contributor.authorWongso, F.
dc.contributor.authorHidaja, K.
dc.contributor.authorRay, A.K.
dc.date.accessioned2014-06-17T07:46:03Z
dc.date.available2014-06-17T07:46:03Z
dc.date.issued2004-09-20
dc.identifier.citationWongso, F., Hidaja, K., Ray, A.K. (2004-09-20). Optimal operating mode for enantioseparation of SB-553261 racemate based on simulated moving bed technology. Biotechnology and Bioengineering 87 (6) : 704-722. ScholarBank@NUS Repository. https://doi.org/10.1002/bit.20182
dc.identifier.issn00063592
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/64341
dc.description.abstractThe performance of the simulated moving bed (SMB) technology and its modification, the Varicol process, was optimized using an experimentally verified model for the enantioseparation of SB-553261 racemate. Single and multiobjective optimizations have been carried out for both existing as well as design stage and their efficiencies were compared. The optimization problem involves a relatively large number of decision variables, both continuous variables such as flow rates, switching time and length of the columns, as well as discrete variables like number and distribution of columns. A state-of-the-art new optimization technique based on a genetic algorithm (nondominated sorting genetic algorithm with jumping genes) was utilized which allows handling of these complex optimization problems. The optimization results showed that significant improvement could be made to the chiral drug separation process using both the SMB and the Varicol process. It was found that the performance of a Varicol process is superior to that of a SMB process in terms of treating more feed using less desorbent or increasing productivity while at the same time achieving better product quality. Optimum results were explained using equilibrium theory by locating them in the pure separation region. © 2004 Wiley Periodicals, Inc.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1002/bit.20182
dc.sourceScopus
dc.subjectChiral separation
dc.subjectGenetic algorithm
dc.subjectMulti-objective optimization
dc.subjectPareto set
dc.subjectSimulated moving bed
dc.subjectVaricol process
dc.typeArticle
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.doi10.1002/bit.20182
dc.description.sourcetitleBiotechnology and Bioengineering
dc.description.volume87
dc.description.issue6
dc.description.page704-722
dc.description.codenBIBIA
dc.identifier.isiut000223632800003
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