Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3742
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dc.contributor.authorShoparwe, N.F.en_US
dc.contributor.authorZolkanain I.H.B.en_US
dc.contributor.authorMohamad M.en_US
dc.contributor.authorKew W.S.en_US
dc.contributor.authorHamid A.A.en_US
dc.contributor.authorOluwasola E.I.en_US
dc.date.accessioned2022-12-18T02:30:57Z-
dc.date.available2022-12-18T02:30:57Z-
dc.date.issued2022-
dc.identifier.issn0094243X-
dc.identifier.urihttp://hdl.handle.net/123456789/3742-
dc.descriptionScopusen_US
dc.description.abstractThis study investigates the fermentation kinetics of different microalgae species for DHA production in a batch fermentation system. The mathematical model was derived from the mass balance of micro-algal cell growth, substrate use, and DHA production with a combination of biological reactions involved in the batch fermentation system. For microalgae cell growth, a logistic model was used and integrated into the mass balance equation. In addition, substrate utilization and DHA production were derived using the Luedeking-Piret-Like and Luedeking-Piret equation. Lastly, the differential equations of the derived dynamic model were integrated into a nonlinear form to simulate and estimate the model parameters. The proposed model was compared with different studies and the model simulation fitted well with all experimental data with R2 values of more than 0.90. Overall, the results revealed that the proposed kinetic models could describe the fermentation characteristic of DHA production, which follows mixed growth associated profile. This model can therefore be used to optimize processes and increase DHA output.en_US
dc.publisherAmerican Institute of Physics Inc.en_US
dc.subjectdocosahexaenoic acid (DHA)en_US
dc.subjectmicroalgaeen_US
dc.subjectfermentation systemen_US
dc.titleKinetics modeling of docosahexaenoic acid (DHA) production by different strain of microalgae in batch fermentation systemen_US
dc.typeInternationalen_US
dc.relation.conferenceAIP Conference Proceedingsen_US
dc.identifier.doi10.1063/5.0078294-
dc.volume2454en_US
dc.relation.seminar2021 International Conference on Bioengineering and Technology, IConBET2021en_US
dc.description.articleno030028en_US
dc.date.seminarstartdate2022-05-24-
dc.date.seminarenddate2022-05-25-
dc.description.placeofseminarvirtualen_US
dc.description.typeIndexed Proceedingsen_US
dc.contributor.correspondingauthorfazliani.s@umk.edu.myen_US
item.grantfulltextnone-
item.openairetypeInternational-
item.fulltextNo Fulltext-
Appears in Collections:Faculty of Bioengineering and Technology - Proceedings
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