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

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dc.authoridAltınışık, Sinem / 0000-0003-0238-0169
dc.authoridNigiz, Filiz Uğur / 0000-0003-0509-8425
dc.authoridGürdal, Savaş / 0000-0002-1149-4371
dc.authoridYılmaz, Kadir / 0000-0003-0275-0916
dc.authoridTuncel, Necati Barış / 0000-0001-9885-5063
dc.authoridKoyuncu, Sermet / 0000-0001-8352-8326
dc.contributor.authorAltınışık, Sinem
dc.contributor.authorNigiz, Filiz Uğur
dc.contributor.authorGürdal, Savaş
dc.contributor.authorYılmaz, Kadir
dc.contributor.authorTuncel, Necati Barış
dc.contributor.authorKoyuncu, Sermet
dc.date.accessioned2025-05-29T02:54:02Z
dc.date.available2025-05-29T02:54:02Z
dc.date.issued2025
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 °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. © The Author(s) 2024.
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK
dc.description.sponsorshipOffice of Scientific Research Projects Coordination at Çanakkale Onsekiz Mart University, (FIA-2020-3312)
dc.identifier.doi10.1007/s13399-024-05786-w
dc.identifier.endpage9888
dc.identifier.issn2190-6815
dc.identifier.issue7
dc.identifier.scopus2-s2.0-105003117492
dc.identifier.scopusqualityQ2
dc.identifier.startpage9875
dc.identifier.urihttps://doi.org/10.1007/s13399-024-05786-w
dc.identifier.urihttps://hdl.handle.net/20.500.12428/29899
dc.identifier.volume15
dc.identifier.wosWOS:001255277200002
dc.identifier.wosqualityN/A
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Sciences
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofBiomass Conversion and Biorefinery
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_Scopus_20250529
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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