Multi-factor kinetic modelling of microalgal biomass cultivation for optimised lipid production

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dc.authoridTheodoropoulos, Constantinos/0000-0003-3249-0422
dc.authoridBekirogullari, Mesut/0000-0001-9539-9234
dc.authoridPittman, Jon/0000-0001-7197-1494
dc.contributor.authorBekirogullari, M.
dc.contributor.authorPittman, J. K.
dc.contributor.authorTheodoropoulos, C.
dc.date.accessioned2024-12-24T19:25:22Z
dc.date.available2024-12-24T19:25:22Z
dc.date.issued2018
dc.departmentSiirt Üniversitesi
dc.description.abstractThis paper presents a new quadruple-factor kinetic model of microalgal cultivation considering carbon and nitrogen concentration, light intensity and temperature, developed in conjunction with laboratory-scale experiments using the well-studied chlorophyte microalgal species Chlamydomonas reinhardtii. Multi-parameter quantification was exploited to assess the predictive capabilities of the model. The validated model was utilized in an optimization study to determine the optimal light intensity and temperature for achieving maximum lipid productivity while using optimal acetate and nitrogen concentrations (2.1906 g L-1 acetate and 0.0742 g L-1 nitrogen) computed in a recent publication. It was found that the optimal lipid productivity increased by 50.9% compared to the base case, and by 13.6% compared to the previously computed optimal case. Optimization results were successfully validated experimentally. Such comprehensive modelling approaches can be exploited for robust design, scale-up and optimization of microalgal oil production, reducing operating costs and bringing this important technology closer to industrialization.
dc.description.sponsorshipRepublic of Turkey Ministry of National Education
dc.description.sponsorshipMB would like to acknowledge the financial support of Republic of Turkey Ministry of National Education.
dc.identifier.doi10.1016/j.biortech.2018.07.121
dc.identifier.endpage425
dc.identifier.issn0960-8524
dc.identifier.issn1873-2976
dc.identifier.pmid30265993
dc.identifier.scopus2-s2.0-85054186305
dc.identifier.scopusqualityQ1
dc.identifier.startpage417
dc.identifier.urihttps://doi.org/10.1016/j.biortech.2018.07.121
dc.identifier.urihttps://hdl.handle.net/20.500.12604/6381
dc.identifier.volume269
dc.identifier.wosWOS:000445897400051
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherElsevier Sci Ltd
dc.relation.ispartofBioresource Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjectChlamydomonas reinhardtii
dc.subjectDynamic kinetic modelling
dc.subjectMicroalgal lipids
dc.subjectCultivation optimization
dc.subjectQuadruple-factor model
dc.titleMulti-factor kinetic modelling of microalgal biomass cultivation for optimised lipid production
dc.typeArticle

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