Kinetic Modeling and Process Analysis for Photo-Production of β-Carotene in Dunaliella Salina

Kinetic Modeling and Process Analysis for Photo-Production of β-Carotene in Dunaliella Salina | 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 Kinetic Modeling and Process Analysis for Photo-Production of β-Carotene in Dunaliella Salina Yimei Xi, Jiali Zhang, Fantao Kong, Jian Che, Zhanyou Chi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1017195/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 17 Jan, 2022 Read the published version in Bioresources and Bioprocessing → Version 1 posted 9 You are reading this latest preprint version Abstract Dunaliella salina is a green alga with the great potential to generate natural β-carotene. However, the corresponding mathematical models to guide optimized production of β-carotene in Dunaliella salina is not yet available. In this study, dynamic models were proposed to simulate effects of environmental factors on cell growth and β-carotene production in D. salina using online monitoring system. Moreover, the identification model of the parameter variables was established, and an adaptive particle swarm optimization algorithm based on parameter sensitivity analysis was constructed to solve the premature problem of particle swarm algorithm. The proposed kinetic model is characterized by high accuracy and predictability through experimental verification, which indicates its competence for future process design, control and optimization. Based on the model established in this study, the optimal environment factors for both β-carotene production and microalgae growth were identified. The approaches created are potentially useful for microalgae cultivation and high-value compounds production. General Biochemistry Molecular Biology Dunaliella salina Dynamic kinetic modelling Cultivation optimization Environmental factors β-carotene production Full Text Supplementary Files GraphicalabstractforBIOB.jpg Cite Share Download PDF Status: Published Journal Publication published 17 Jan, 2022 Read the published version in Bioresources and Bioprocessing → Version 1 posted Reviewer # 3 agreed at journal 10 Nov, 2021 Reviews received at journal 02 Nov, 2021 Reviewer # 2 agreed at journal 01 Nov, 2021 Reviewer # 1 agreed at journal 01 Nov, 2021 Reviewers invited by journal 01 Nov, 2021 Editor assigned by journal 29 Oct, 2021 Submission checks completed at journal 28 Oct, 2021 Editor invited by journal 28 Oct, 2021 First submitted to journal 25 Oct, 2021 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. 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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-1017195","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research","associatedPublications":[],"authors":[{"id":60341314,"identity":"c8623da7-370c-4b03-82b3-5c85afbb0d82","order_by":0,"name":"Yimei Xi","email":"","orcid":"","institution":"Dalian University of Technology","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Yimei","middleName":"","lastName":"Xi","suffix":""},{"id":60341315,"identity":"bb63b029-f5a5-4762-acf0-a6c24c276f9b","order_by":1,"name":"Jiali Zhang","email":"","orcid":"","institution":"Dalian University of 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