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College of Engineering(공과대학)Dept. of Chemical and Biomolecular Engineering(생명화학공학과)CBE-Journal Papers(저널논문)

Control of fed-batch fermentations

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dc.contributor.authorLee, Jko
dc.contributor.authorLee, SangYupko
dc.contributor.authorPark, Sunwonko
dc.contributor.authorMiddelberg, APJko
dc.date.accessioned2010-11-15T06:50:11Z-
dc.date.available2010-11-15T06:50:11Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1999-04-
dc.identifier.citationBIOTECHNOLOGY ADVANCES, v.17, no.1, pp.29 - 48-
dc.identifier.issn0734-9750-
dc.identifier.urihttp://hdl.handle.net/10203/19931-
dc.description.abstractFed-batch fermentation is used to prevent or reduce substrate-associated growth inhibition by controlling nutrient supply. Here we review the advances in control of fed-batch fermentations. Simple exponential feeding and inferential methods are examined, as are newer methods based on fuzzy control and neural networks. Considerable interest has developed in these more advanced methods that hold promise for optimizing fed-batch techniques for complex fermentation systems. (C) 1999 Elsevier Science Inc. All rights reserved.-
dc.description.sponsorshipThis work was supported by the Korea-Australia joint research project (MOST) and partially by the BPERC and Automation Research Center (POSTECH).en
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.titleControl of fed-batch fermentations-
dc.typeArticle-
dc.identifier.wosid000081419600003-
dc.identifier.scopusid2-s2.0-0032678154-
dc.type.rimsART-
dc.citation.volume17-
dc.citation.issue1-
dc.citation.beginningpage29-
dc.citation.endingpage48-
dc.citation.publicationnameBIOTECHNOLOGY ADVANCES-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorLee, SangYup-
dc.contributor.localauthorPark, Sunwon-
dc.contributor.nonIdAuthorLee, J-
dc.contributor.nonIdAuthorMiddelberg, APJ-
dc.type.journalArticleReview-
dc.subject.keywordAuthorfed-batch fermentation-
dc.subject.keywordAuthorexponential feeding-
dc.subject.keywordAuthorfuzzy control-
dc.subject.keywordAuthorneural networks-
dc.subject.keywordPlusRECOMBINANT ESCHERICHIA-COLI-
dc.subject.keywordPlusGLUTAMIC-ACID PRODUCTION-
dc.subject.keywordPlusONLINE STATE ESTIMATION-
dc.subject.keywordPlusNEURAL-NETWORK MODELS-
dc.subject.keywordPlusCELL-DENSITY CULTURE-
dc.subject.keywordPlusFUZZY CONTROL-
dc.subject.keywordPlusGLUCOSE-CONCENTRATION-
dc.subject.keywordPlusCONTROL-SYSTEM-
dc.subject.keywordPlusLOOP CONTROL-
dc.subject.keywordPlusGROWTH-RATE-
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