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dc.contributor.authorBirgen, Cansu
dc.contributor.authorMarkussen, Sidsel
dc.contributor.authorWentzel, Alexander
dc.contributor.authorPreisig, Heinz A.
dc.contributor.authorWittgens, Bernd
dc.date.accessioned2023-05-24T06:13:25Z
dc.date.available2023-05-24T06:13:25Z
dc.date.created2018-07-05T20:31:52Z
dc.date.issued2018
dc.identifier.issn1974-9791
dc.identifier.urihttps://hdl.handle.net/11250/3068741
dc.description.abstractTo our knowledge, this is the first growth model of Clostridium beijerinckii NCIMB 8052 on glucose and xylose as representative lignocellulosic sugars, which considers the synergistic effects of sugars on the growth rate. We fitted models with different types of interactions between the substrates to the growth rate data obtained with varying sugar concentrations. Noncompetitive binary substrate growth model gave the best fit with the smallest mean standard errors (MSE), and sum of squares error (SSE), 0.0778 and 0.0071, respectively. Confidence intervals for the parameter estimates showed that the substrate affinity constant for xylose, KsX (g/l) had the largest uncertainty, while the maximum specific growth rate on xylose, μmaxX (h-1) had the smallest. The correlation matrix showed that the model parameters were highly correlated. Carbon catabolite repression (CCR) effect on the growth rate was of the noncompetitive type. Validation with other sugar concentration values is necessary to evaluate the prediction capability of the proposed model. A transcriptional study will be beneficial to understand global gene regulation mechanisms as guidance for improving the efficiency of lignocellulosic fermentation processes.en_US
dc.language.isoengen_US
dc.publisherAIDIC Servizi S.r.l.en_US
dc.titleModeling the Growth of Clostridium beijerinckii NCIMB 8052 on Lignocellulosic Sugarsen_US
dc.title.alternativeModeling the Growth of Clostridium beijerinckii NCIMB 8052 on Lignocellulosic Sugarsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber289-294en_US
dc.source.volume65en_US
dc.source.journalChemical Engineering Transactionsen_US
dc.identifier.doi10.3303/CET1865049
dc.identifier.cristin1596015
dc.relation.projectNorges forskningsråd: 257622en_US
dc.relation.projectNorges forskningsråd: 521732en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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