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dc.contributor.authorBirgen, Cansu
dc.contributor.authorBerglihn, Olaf Trygve
dc.contributor.authorPreisig, Heinz A.
dc.contributor.authorWentzel, Alexander
dc.date.accessioned2020-02-07T13:54:28Z
dc.date.available2020-02-07T13:54:28Z
dc.date.created2019-04-04T09:21:43Z
dc.date.issued2019
dc.identifier.citationBiochemical engineering journal. 2019, 147 110-117.nb_NO
dc.identifier.issn1369-703X
dc.identifier.urihttp://hdl.handle.net/11250/2640488
dc.description.abstractThis study proposes a dynamic model that describes key characteristics of fermentative butanol production from glucose and xylose mixtures. The model has 12 parameters and incorporates noncompetitive inhibitory interaction between sugars as well as inhibitions due to high substrate and butanol concentrations. Different pre-growth strategies to achieve co-utilization of sugars were explored together with their effects on fermentation kinetics. Mixed sugar fermentation by the cultures pre-grown on a mixture of glucose and xylose showed a higher endurance to inhibition, a 2-fold increase in butanol production and a 1.5-fold increase in total sugar consumption compared to cultures pre-grown on xylose only. The average squared correlation coefficients (r2) between experimental observations and model predictions were 0.917 and 0.926 for fermentations done by the cultures pre-grown on xylose only, and pre-grown on a mixture of glucose and xylose, respectively. Sensitivity analysis on the model parameters revealed that the growth parameters were the most critical. The proposed model can serve as a basis for modeling of microbial butanol production from lignocellulosic biomass and be applied to other substrates and microorganisms. © 2019(32 refs)nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleKinetic Study of Butanol Production from Mixtures of Glucose and Xylose and Investigation of Different Pre-growth Strategiesnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber110-117nb_NO
dc.source.volume147nb_NO
dc.source.journalBiochemical engineering journalnb_NO
dc.identifier.doi10.1016/j.bej.2019.04.002
dc.identifier.cristin1690128
dc.relation.projectNorges forskningsråd: 246821nb_NO
dc.description.localcode© 2019. This is the authors’ accepted and refereed manuscript to the article. Locked until 3.4.2021 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/nb_NO
cristin.unitcode194,66,30,0
cristin.unitnameInstitutt for kjemisk prosessteknologi
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal