Optimization of bioethanol production from sugar beet processing by-product molasses using response surface methodology

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dc.authoridYILMAZ, Kadir/0000-0003-0275-0916
dc.authoridAltinisik, Sinem/0000-0003-0238-0169
dc.authoridKoyuncu, Sermet/0000-0001-8352-8326
dc.authoridTUNCEL, NECATI BARIS/0000-0001-9885-5063
dc.contributor.authorAltinisik, Sinem
dc.contributor.authorNigiz, Filiz Ugur
dc.contributor.authorGurdal, Savas
dc.contributor.authorYilmaz, Kadir
dc.contributor.authorTuncel, Necati Baris
dc.contributor.authorKoyuncu, Sermet
dc.date.accessioned2025-01-27T20:58:06Z
dc.date.available2025-01-27T20:58:06Z
dc.date.issued2024
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractBioethanol production from renewable biomass sources has garnered significant interest due to its potential as a sustainable alternative to fossil fuels. In this study, we investigated the optimization of bioethanol production from molasses, a by-product of the sugar production process using Saccharomyces cerevisiae through Response Surface Methodology (RSM). Initially, the fermentation process was optimized using RSM, considering four independent variables: substrate concentration, pH, temperature, and fermentation time. Subsequently, the effects of these variables on bioethanol yield were evaluated, and a quadratic model was developed to predict the optimum conditions. Analysis of variance (ANOVA) indicated a high coefficient of determination (R2) for the model, suggesting its adequacy for prediction. The optimized conditions for bioethanol production were determined as follows: substrate concentration of 200 g L-1, pH of 5.0, temperature of 30 degrees C and fermentation time of 72 h. Under these conditions, the predicted bioethanol yield was 84%. Overall, this study demonstrates the successful application of RSM for optimizing bioethanol production from molasses using S. cerevisiae, highlighting its potential as a promising feedstock for biofuel production.
dc.description.sponsorshipScientific and Technological Research Council of Turkiye (TUBIdot;TAK); Office of Scientific Research Projects Coordination at Canakkale Onsekiz Mart University [FIA-2020-3312]
dc.description.sponsorshipOpen access funding provided by the Scientific and Technological Research Council of Turkiye (TUB & Idot;TAK). This work was supported by the Office of Scientific Research Projects Coordination at Canakkale Onsekiz Mart University. Grant number: FIA-2020-3312.
dc.identifier.doi10.1007/s13399-024-05786-w
dc.identifier.issn2190-6815
dc.identifier.issn2190-6823
dc.identifier.scopus2-s2.0-85195175542
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1007/s13399-024-05786-w
dc.identifier.urihttps://hdl.handle.net/20.500.12428/26611
dc.identifier.wosWOS:001255277200002
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Heidelberg
dc.relation.ispartofBiomass Conversion and Biorefinery
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20250125
dc.subjectBioethanol production
dc.subjectFermentation optimization
dc.subjectMolasses
dc.subjectResponse surface methodology
dc.titleOptimization of bioethanol production from sugar beet processing by-product molasses using response surface methodology
dc.typeArticle

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