Process optimization for production of bioethanol from sugarcane bagasse at Wonji Sugar Factory, Ethiopian

Process optimization for production of bioethanol from sugarcane bagasse at Wonji Sugar Factory, Ethiopian | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Process optimization for production of bioethanol from sugarcane bagasse at Wonji Sugar Factory, Ethiopian Dula Debela, Eshetu Bekele, Tesfaye Nemera This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3998797/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 10 You are reading this latest preprint version Abstract The Ethiopian sugar estates produce large amounts of bagasse annually. An alternative bioethanol energy source is produced through pretreatment and valorization processes. Therefore, this study aimed to optimize pretreatment, hydrolysis and fermentation processes to produce bioethanol from sugarcane bagasse. Different concentrations of alkaline (NaOH) and acid (H 2 SO 4 ) were used to hydrolyse sugarcane bagasse at different pressures and reaction times, while fermentation experiments were carried out at different incubation temperatures and for different periods at different initial pH values. The pretreatment process was used to extract cellulose, hemicellulose and lignin, whereas hydrolysis was used for reducing sugars, and fermentation was used for ethanol. After the quality test, the collected data were subjected to statistical analysis and model optimization using design expert statistical software version 7.0. The results of the statistical analysis on pretreatment optimization revealed that 2.5% NaOH and 15 psi at 35 minutes resulted in the maximum extraction of cellulose (81.25) with the maximum removal of hemicellulose (8.41) and lignin (6.02%). For pretreated bagasse hydrolysis, 2.05% H 2 SO 4 at 205.92°C within 60 minutes produced a maximum yield of reducing sugars (80.89 g/l), while the maximum yield of ethanol produced under optimized conditions (6 initial pH, 30°C and 71.83 hours of incubation) was 42.98 g/l. Sugarcane bagasse bioethanol pretreatment optimization hydrolysis fermentation Full Text Additional Declarations Competing interest reported. The authors declare that they have no known competing financial interests or personal relationshiops that could have appeared to infulance the work reportedin this paper. Supplementary Files Graphicalabstract.docx Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 14 Apr, 2024 Reviews received at journal 12 Apr, 2024 Reviews received at journal 11 Apr, 2024 Reviewers agreed at journal 09 Apr, 2024 Reviewers agreed at journal 06 Apr, 2024 Reviewers agreed at journal 04 Apr, 2024 Reviewers invited by journal 03 Apr, 2024 Editor assigned by journal 25 Mar, 2024 Submission checks completed at journal 25 Mar, 2024 First submitted to journal 29 Feb, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3998797","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":283612395,"identity":"a83e081a-c097-46ed-92fb-b066a48869f4","order_by":0,"name":"Dula Debela","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA4klEQVRIie3PsQrCMBCA4YNAuhztmoL6DIVCFfoyCQVdUp9AHLOpr+LUWSm2S3XupiA4iENBECcxdXKqdRPMPxwc3AcJgMn0i60Q4AAEbCArvbJOO8I1oUB5TfAbgl69fyZ2Plsf+CQUyiqu53IyQLDSzbKJuMUu8ng2EgrjJJSZfhgOh2UT8UoZME5ToSBOfEk1YRg0k/2lf+cPTZzLyZePNqTEAITShElyjFUL4hbjiIn5yFfsFJB4zpB++oudb9dVdQu7Cyc6XuVt2nOsNGsk71H2mm3P60j1zbXJZDL9T090ZEoEWCRgsgAAAABJRU5ErkJggg==","orcid":"","institution":"Ethiopian Sugar Industry Group, Research and Training","correspondingAuthor":true,"prefix":"","firstName":"Dula","middleName":"","lastName":"Debela","suffix":""},{"id":283612396,"identity":"5061414b-f536-4efe-bf90-a3c1d4e05533","order_by":1,"name":"Eshetu Bekele","email":"","orcid":"","institution":"Adama Science and Technology University","correspondingAuthor":false,"prefix":"","firstName":"Eshetu","middleName":"","lastName":"Bekele","suffix":""},{"id":283612397,"identity":"65985459-af53-479b-acbd-6b5d1bbe403f","order_by":2,"name":"Tesfaye Nemera","email":"","orcid":"","institution":"Ethiopian Sugar Industry Group, Research and Training","correspondingAuthor":false,"prefix":"","firstName":"Tesfaye","middleName":"","lastName":"Nemera","suffix":""}],"badges":[],"createdAt":"2024-02-29 06:51:57","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3998797/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3998797/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":53633228,"identity":"8984bd3b-4f84-4cbe-9e58-7ae92f4e6de2","added_by":"auto","created_at":"2024-03-28 10:18:33","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":670721,"visible":true,"origin":"","legend":"","description":"","filename":"DulaArticleforpablication123456789.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3998797/v1_covered_11fac78e-f631-40cb-ab96-f82691b047b1.pdf"},{"id":53632477,"identity":"b12e735c-d578-44c4-8077-726134175ec2","added_by":"auto","created_at":"2024-03-28 10:10:30","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":2608564,"visible":true,"origin":"","legend":"","description":"","filename":"Graphicalabstract.docx","url":"https://assets-eu.researchsquare.com/files/rs-3998797/v1/748ce427211c8ce938506754.docx"}],"financialInterests":"Competing interest reported. 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An alternative bioethanol energy source is produced through pretreatment and valorization processes. Therefore, this study aimed to optimize pretreatment, hydrolysis and fermentation processes to produce bioethanol from sugarcane bagasse. Different concentrations of alkaline (NaOH) and acid (H\u003csub\u003e2\u003c/sub\u003eSO\u003csub\u003e4\u003c/sub\u003e) were used to hydrolyse sugarcane bagasse at different pressures and reaction times, while fermentation experiments were carried out at different incubation temperatures and for different periods at different initial pH values. The pretreatment process was used to extract cellulose, hemicellulose and lignin, whereas hydrolysis was used for reducing sugars, and fermentation was used for ethanol. After the quality test, the collected data were subjected to statistical analysis and model optimization using design expert statistical software version 7.0. 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