Nanofiltration Membrane Performance in Recirculating Aquaculture Systems: Modeling Permeate Concentration with Diverse Pre-Treatment Configurations

Nanofiltration Membrane Performance in Recirculating Aquaculture Systems: Modeling Permeate Concentration with Diverse Pre-Treatment Configurations | 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 Nanofiltration Membrane Performance in Recirculating Aquaculture Systems: Modeling Permeate Concentration with Diverse Pre-Treatment Configurations Ahmad Rijani Hasby, Satyanto Krido Saptomo, Yuni Puji Hastuti, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4756463/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 nanofiltration (NF) membrane technology implemented in the recirculating aquaculture system (RAS) suffers from fouling issues, which cause a decrease in the flux value and performance of the NF membrane. Fouling can be reduced by incorporating pre-treatment units such as the multimedia filter unit (MMF) and activated carbon filter (CF). Therefore, this research aims to minimize fouling and maintain optimal membrane flux and performance by integrating pre-treatment units such as MMF and CF, as well as conducting detailed flux modeling. The models simulate transport phenomena within the NF membrane system, emphasizing the impact of concentration polarization and fouling on flux and overall performance across various pre-treatment configurations under non-steady state conditions. Configuration of MMF-CF-NF (V1) demonstrated the highest overall efficiency in reducing ammonia concentration by 97.5%, nitrite by 100%, and 100% by TSS. Furthermore, the values of the solvent transport coefficient ( A w ), the solute transport coefficient ( B s ), and the contaminant accumulation volume ( X ) varied for each configuration due to different treatments, leading to varying membrane workloads. Validation and statistical analysis of the permeate concentration model demonstrated that the developed model has a strong capability to accurately describe and predict the filtration process using the NF membrane, with B s contributing most significantly to influencing the concentration permeate NF. activated carbon filter flux model fouling multimedia filter nanofiltration membrane recirculating aquaculture system Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 13 Aug, 2024 Reviews received at journal 05 Aug, 2024 Reviews received at journal 04 Aug, 2024 Reviewers agreed at journal 26 Jul, 2024 Reviewers agreed at journal 23 Jul, 2024 Reviewers agreed at journal 23 Jul, 2024 Reviewers invited by journal 22 Jul, 2024 Editor assigned by journal 20 Jul, 2024 Submission checks completed at journal 19 Jul, 2024 First submitted to journal 17 Jul, 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-4756463","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":339577550,"identity":"ea97933a-9cb5-4ea6-bd29-a32e7a433ad8","order_by":0,"name":"Ahmad Rijani Hasby","email":"","orcid":"","institution":"IPB University","correspondingAuthor":false,"prefix":"","firstName":"Ahmad","middleName":"Rijani","lastName":"Hasby","suffix":""},{"id":339577552,"identity":"eb68e288-21bf-4eb3-aa2e-747c4a47b32a","order_by":1,"name":"Satyanto Krido Saptomo","email":"","orcid":"","institution":"IPB 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