Mechanistic Modelling of Rotating Algal Biofilms

Mechanistic Modelling of Rotating Algal Biofilms | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL Biotechnology and Bioengineering This is a preprint and has not been peer reviewed. Data may be preliminary. 15 February 2025 V1 Latest version Share on Mechanistic Modelling of Rotating Algal Biofilms Authors : Yan GAO 0000-0002-3375-9668 , Patrick Perré , Ignacio FIERRO , Filipa Lopes 0000-0002-0156-0048 , and Olivier Bernard 0000-0003-2539-9014 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.173962803.36202082/v1 390 views 220 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Biofilm-based systems have recently attracted increasing attention as an alternative to the conventional cultivation in suspension. In Rotating Algal Biofilms (RAB), cells are periodically exposed to phases of light and darkness. In light/dark cycles, the exposition of the cells to darkness allows mitigating intense sunlight, thus protecting microalgae from photoinhibition. In order to better understand how light variations affect photosynthesis, a mechanistic model was developed based on Han’s model. It includes respiration dynamics and covers a wide range of cycle times and light fractions (Light/Dark fractions) and is calibrated with experimental data. Our model predicts accurately the biofilm behavior in various conditions of light intensity and duty cycles. Respiration variation in intermittent light regimes is for the first time considered to better predict biofilm growth under various cycle times and duty cycles. Data show that, for the same average light intensity, increasing the light frequency enhances growth thanks to reduced inhibition. Increasing the light fraction improves the growth rate as both the peak light intensity and the dark period decrease, which is beneficial at high and low frequencies. Model analysis provides clues to understand the biofilm response and suggests strategies for productivity enhancement, guiding reactor design and advanced process control. Supplementary Material File (main pdf.pdf) Download 1.16 MB Information & Authors Information Version history V1 Version 1 15 February 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Collection Biotechnology and Bioengineering Keywords biofilm growth modelling light/dark cycles microalgae respiration Authors Affiliations Yan GAO 0000-0002-3375-9668 Universite Paris-Saclay Laboratoire de Genie des Procedes et des Materiaux View all articles by this author Patrick Perré Universite Paris-Saclay Laboratoire de Genie des Procedes et des Materiaux View all articles by this author Ignacio FIERRO Centre Inria d'Universite Cote d'Azur View all articles by this author Filipa Lopes 0000-0002-0156-0048 Universite Paris-Saclay Laboratoire de Genie des Procedes et des Materiaux View all articles by this author Olivier Bernard 0000-0003-2539-9014 [email protected] Centre Inria d'Universite Cote d'Azur View all articles by this author Metrics & Citations Metrics Article Usage 390 views 220 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Yan GAO, Patrick Perré, Ignacio FIERRO, et al. Mechanistic Modelling of Rotating Algal Biofilms. Authorea . 15 February 2025. DOI: https://doi.org/10.22541/au.173962803.36202082/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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