Waste-to-Coating: A Bio-derived, Circular-Economy-Based Antifouling Solution for Sustainable Marine Protection

Waste-to-Coating: A Bio-derived, Circular-Economy-Based Antifouling Solution for Sustainable Marine Protection | 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 Article Waste-to-Coating: A Bio-derived, Circular-Economy-Based Antifouling Solution for Sustainable Marine Protection Hung-Pin Shen, Hung-Pin Shen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6497032/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Marine biofouling imposes serious challenges to sustainability by increasing fuel consumption, maintenance costs, and ecological risks across maritime operations. Conventional antifouling coatings typically rely on toxic biocides, which persist in marine environments and harm non-target organisms. This study presents a biocide-free, eco-friendly coating derived from thermally activated oyster shells, modified via silane and stearic acid treatment. Incorporated into a siloxane matrix with ZnO and TiO₂, the coating demonstrates long-term hydrophobicity and antifouling efficacy through field tests in seawater over 12 months. Earth and environmental sciences/Ecology Earth and environmental sciences/Environmental sciences Physical sciences/Materials science Physical sciences/Nanoscience and technology Antifouling Bio-derived coating oyster shell [21] Marine sustainability circular economy [28] Siloxane matrix Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 1. Introduction Biofouling—the colonization of submerged surfaces by microorganisms, algae, and invertebrates—continues to undermine operational efficiency in global shipping, aquaculture, and marine infrastructure. Biofilm formation increases surface roughness and hydrodynamic drag [ 1 ], resulting in greater fuel demands and CO₂ emissions. It also accelerates material degradation and facilitates the translocation of invasive species. The economic and environmental burden of biofouling necessitates a transition away from legacy antifouling technologies. Traditionally, antifouling paints incorporate heavy metals and synthetic biocides to repel or kill marine organisms. However, these agents—including copper(I) oxide, tributyltin (TBT), and arsenic derivatives—leach into surrounding waters, accumulate in sediments, and damage non-target species. Regulatory bodies such as the International Maritime Organization (IMO) have progressively banned or restricted these substances, creating demand for non-toxic, durable alternatives. Recent strategies [ 13 ] have explored physical surface modification, foul-release [ 18 ] coatings, and naturally inspired chemistries. Among emerging materials, calcium-rich [ 23 ] biowaste holds promise as a functional filler or barrier agent. Oyster shells, produced in vast quantities through global aquaculture, remain an underutilized biowaste stream with high structural and chemical potential. Their conversion into functional additives aligns with principles of the circular economy [ 28 ], waste valorization, and sustainable materials engineering. In this study, we developed an antifouling coating that repurposes waste oyster shells into high-performance calcium-based microparticles. The material was thermally treated and modified to enhance dispersion and hydrophobicity, then embedded into a siloxane matrix containing ZnO and TiO₂ nanoparticles. This multifunctional composite offers protection through a combination of surface alkalinity, hydrophobicity, and physical barrier effects. Twelve-month seawater immersion trials at a subtropical harbor in East Asia, affirmed the coating’s combined resistance to biofouling without relying on toxic leachates. This work contributes to the development of scalable, eco-friendly marine coatings rooted in biowaste transformation. 2. Materials and Methods Figure 1 illustrates the stepwise preparation of the oyster-shell-derived antifouling coating. 2.1 Preparation of oyster shell [ 21 ] Powder Discarded oyster shells (Crassostrea gigas) were collected from local aquaculture waste. The shells were thoroughly washed, dried at 80°C, and then ground into powder using a mechanical grinder. The powder was sieved to obtain a uniform particle size below 10 µm. To remove organic residues and enhance surface reactivity, the sieved powder was calcined in a muffle furnace at 800°C for 2 hours. 2.2 Surface Modification The calcined powder was subjected to a two-step surface modification process. First, 3 wt% of KH-550 silane coupling agent was added to ethanol and stirred with the powder at 80°C for 2 hours. Second, the silane-treated particles were treated with 2 wt% stearic acid in hot ethanol (120°C) using ultrasonic agitation for 30 minutes to impart hydrophobicity. 2.3 Coating Formulation The modified oyster shell [ 21 ] powder was incorporated at 5 wt% and 10 wt% loading into a siloxane resin matrix containing 1 wt% TiO₂ and 1 wt% ZnO nanoparticle. A commercial dispersant and leveling agent were added to ensure homogeneity. The coating mixture was applied onto polished metal panels (10 × 10 cm) and cured at room temperature for 24 hours. 2.4 Field Exposure Testing Coated and uncoated panels were submerged in coastal seawater at a subtropical harbor in East Asia, for a period of 12 months. The panels were periodically retrieved (every 3 months) to assess biofouling resistance and physical durability. Surface analysis was conducted using contact angle measurements (goniometer), scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDS), and X-ray diffraction (XRD). 3. Results and Discussion As shown in Fig. 2 a, SEM analysis confirms a highly porous microstructure, which is essential for enhancing surface area and reactive sites. Elemental mapping via EDS (Fig. 2 b) reveals a uniform distribution of calcium, oxygen, and silicon across the modified particles. XRD analysis (Fig. 3 ) confirmed the presence of crystalline calcite (CaCO₃) and lime (CaO), consistent with thermal conversion outcomes. 3.1 Morphological and Structural Analysis SEM imaging revealed irregular microparticle structures with porous morphology in the calcined and modified oyster shell [ 21 ] powder. EDS confirmed elemental distribution primarily consisting of Ca, O, and Si, while XRD patterns indicated the presence of calcite and CaO phases. Contact angle analysis (Fig. 4 d) revealed effective hydrophobization, with values exceeding 80°, confirming the treatment's surface-modifying effect. 3.2 Wettability and Surface Properties Contact angle measurements showed water contact angles greater than 80°, indicative of effective surface hydrophobization for coatings containing modified shell powder, demonstrating effective treatment and improved water repellency. Close-up images (Fig. 6 ) clearly demonstrate reduced surface colonization on coated panels, indicating effective fouling suppression. 3.3 Antifouling Performance After 12 months of immersion, uncoated panels were heavily fouled, while those coated with 5 wt% and 10 wt% oyster shell-based formulations showed significantly reduced algal and invertebrate adhesion. The 10 wt% formulation demonstrated near-complete resistance. The antifouling performance was reproducible across varying trials and environmental exposures. Extended immersion testing results (Fig. 7 ) verify long-term performance Figure 8 documents the field immersion setup used for coating validation. Further visual comparison is provided in Supplementary Figure S2, showing the gradient in fouling behavior among uncoated, intermediate, and oyster-shell-coated panels under identical marine exposure conditions. 3.4 Comparative Evaluation In comparison with traditional copper-based antifouling paints, the bio-derived coating avoided toxic leaching while maintaining long-term structural integrity and biofouling resistance. These results support the feasibility of natural filler integration for long-term marine sustainability. Table 1 Comparative Evaluation between Conventional and Bio-derived Antifouling Coatings 4. Conclusion We developed a novel, environmentally friendly antifouling coating based on thermally processed oyster shell waste. Dual-stage surface modification rendered the particles hydrophobic and compatible with a siloxane resin system. Twelve-month field trials verified durable, biocide-free fouling resistance, particularly with 10 wt% formulations. This study establishes a robust foundation for marine biowaste valorization, offering a scalable and sustainable strategy for next-generation antifouling technologies. Declarations Author Contribution H.-P.S. conceived the idea, designed the experiments, prepared the bio-derived coating materials, conducted field immersion tests, analyzed the data, and wrote the manuscript. The author reviewed and approved the final version of the manuscript. References Schultz, M. P. Effects of coating roughness and biofouling on ship resistance and powering. Biofouling. 2007. Chambers, L. D. et al. Modern approaches to marine antifouling [9] coatings. Surf. Coat. Technol. 2006. Yebra, D. M., Kiil, S. & Dam-Johansen, K. Antifouling technology—past, present and future steps. Prog. Org. Coat. 2004. Callow, J. A. & Callow [4], M. E. Trends in the development of environmentally friendly fouling-resistant coatings. Nat. Commun. 2011. Oman, I. General aspects of tin-free antifouling paints. Chem. Rev. 2003. Brady, R. F. Clean hulls without poisons: Devising and testing nontoxic marine coatings. J. Coat. Technol. 2001. Swain, G. W. et al. A comparison of biofouling resistance and underwater cleaning of non-toxic foul release coatings. Biofouling. 1998. Scardino, A. J. & de Nys, R. Mini review: Biomimetic models and bioinspired surfaces for fouling control. Biofouling. 2011. Hellion, C. & Yebra [3], D. Advances in Marine Antifouling Coatings and Technologies. Elsevier. 2009. Dafforn, K. A., Lewis, J. A. & Johnston, E. L. Antifouling strategies [13]: History and regulation, ecological impacts and mitigation [14]. Mar. Pollut. Bull. 2011. Zhang, F. et al. One-step fabrication of robust superhydrophobic coatings on a large surface area. ACS Appl. Mater. Interfaces. 2012. Lears, M., Margaillan, A. & Bressy, C. Fouling release coatings: A nontoxic alternative to biocidal antifouling coatings. Chem. Rev. 2012. Muthukrishnan, T. et al. Antifouling strategies in marine environment. Biointerphases. 2014. Venugopalan, V. P. et al. Biofouling and its mitigation. Defence Sci. J. 2009. Rahimian, K. et al. Sustainable bio-based hybrid materials for antifouling coatings. Prog. Org. Coat. 2020. Vucko, M. J. et al. Towards next generation antifouling coatings: combining bio-inspired design with advanced materials. Adv. Mater. Interfaces. 2021. Duan, J. et al. bio-inspired [16] superhydrophobic [11] antifouling coatings: A review. J. Mater. Chem. A. 2021. Williams, D. N. Biocide-free antifouling coatings: Recent developments in fouling release technologies. Prog. Org. Coat. 2010. Pereira, R. B. et al. Marine natural products with antifouling activity. Nat. Prod. Rep. 2020. Zhang, W. et al. Smart antifouling coatings: From surface engineering to functional devices. Chem. Soc. Rev. 2019. Ma, C. et al. Waste oyster shell powders as fillers for sustainable polymer composites. J. Clean. Prod. 2022. Xie, X. et al. Functionalization of oyster shell [21] powder for sustainable building materials. Constr. Build. Mater. 2020. Chen, H. et al. Eco-friendly coatings based on calcium-rich biowaste. Environ. Sci. Technol. 2021. Liu, Y. et al. Fabrication and performance of TiO₂–ZnO-based antifouling coatings. Surf. Coat. Technol. 2017. Gao, L. et al. superhydrophobic [11] surfaces with self-cleaning and antifouling properties. J. Mater. Chem. 2013. Lin, Y.-C. et al. Long-term field testing of marine antifouling [9] coatings. Prog. Org. Coat. 2019. Hou, X. et al. Bio-based silica and its composites in antifouling coating design. ACS Sustainable Chem. Eng. 2021. Wu, C. et al. Circular economy approach using marine biowaste in functional coatings. Nat. Sustain. 2022. Additional Declarations No competing interests reported. Supplementary Files SupplementaryandOptionalFigures.docx Cite Share Download PDF Status: Posted Version 1 posted 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-6497032","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":447022942,"identity":"393e703d-8b93-4681-8551-c572679f3028","order_by":0,"name":"Hung-Pin Shen","email":"","orcid":"","institution":"National Taiwan University","correspondingAuthor":false,"prefix":"","firstName":"Hung-Pin","middleName":"","lastName":"Shen","suffix":""},{"id":447022943,"identity":"947d68a0-4066-4ee0-8884-0469ef207c15","order_by":1,"name":"Hung-Pin Shen","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA3klEQVRIiWNgGAWjYBACAxgJRIwPgEwePlK0MIM4PGzEaYEw2CRADIJazCVyD78uKLhjb87ee6zya46dDBsD88NHN/BosZyRl2Y9w+BZ4s6ec2m3ZbclAx3GZmycg89hN3LMjHkMDieAGLcltzEDtfCwSROjxd7g/huzYslt9URpMX4M1MK44QaPGePHbYeJ0HLmjRnzDIPDiRvO5BhLM247zsPGTMgvx3OMPxf8ATrs+BnDjz+3Vdvzszc/fIxPCxCwScNYzDxgEr9ysJLPMBbjD8KqR8EoGAWjYAQCAMj/RlQsMHsWAAAAAElFTkSuQmCC","orcid":"","institution":"National Taiwan University","correspondingAuthor":true,"prefix":"","firstName":"Hung-Pin","middleName":"","lastName":"Shen","suffix":""}],"badges":[],"createdAt":"2025-04-21 14:38:28","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6497032/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6497032/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":81603657,"identity":"ba438f23-ebc8-405a-84a2-cfbee81cee7e","added_by":"auto","created_at":"2025-04-29 05:06:09","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":53313,"visible":true,"origin":"","legend":"\u003cp\u003eFour-stage process for preparing bio-derived antifouling coating from oyster shells.\u003c/p\u003e","description":"","filename":"1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6497032/v1/31307de7875ea8c137369415.jpg"},{"id":81603500,"identity":"00beb6b6-61d6-4b79-844a-059655996757","added_by":"auto","created_at":"2025-04-29 04:58:09","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":138454,"visible":true,"origin":"","legend":"\u003cp\u003ea. SEM image showing the porous morphology of the calcined oyster shell powder.\u003c/p\u003e\n\u003cp\u003eb. EDS elemental mapping showing the distribution of Ca, O, and Si in the modified powder.\u003c/p\u003e","description":"","filename":"2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6497032/v1/e8f982f5e4be44376be5f96a.jpg"},{"id":81603496,"identity":"b1166c0e-0c05-41a5-b0b9-4892edf7b52b","added_by":"auto","created_at":"2025-04-29 04:58:09","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":25629,"visible":true,"origin":"","legend":"\u003cp\u003eXRD pattern confirming the presence of calcite (CaCO₃) and lime (CaO) phases.\u003c/p\u003e","description":"","filename":"3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6497032/v1/db099d480cc6da968b5d674b.jpg"},{"id":81603503,"identity":"eb6f7198-9a19-4b43-bba4-3a0683218e7f","added_by":"auto","created_at":"2025-04-29 04:58:09","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":17721,"visible":true,"origin":"","legend":"\u003cp\u003ePart D. Water contact angle of the coated surface, demonstrating hydrophobicity ≥ 80°.\u003c/p\u003e","description":"","filename":"4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6497032/v1/f5d77ccedf47a73df3a26aeb.jpg"},{"id":81603510,"identity":"f4f4db76-2126-4a4d-9124-033c15856b13","added_by":"auto","created_at":"2025-04-29 04:58:09","extension":"jpg","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":56578,"visible":true,"origin":"","legend":"\u003cp\u003ecompares fouling levels between control and coated panels. The coating outperformed uncoated panels in all observed parameters.\u003c/p\u003e","description":"","filename":"5.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6497032/v1/adde344e7587ec3460eada2a.jpg"},{"id":81603661,"identity":"59d0e29d-e662-475e-9c2d-9f70be705eda","added_by":"auto","created_at":"2025-04-29 05:06:09","extension":"jpg","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":63769,"visible":true,"origin":"","legend":"\u003cp\u003eClose-up views of fouling behavior on field-tested surfaces.\u003c/p\u003e","description":"","filename":"6.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6497032/v1/d29aff7efd212abfdb3e62d1.jpg"},{"id":81604993,"identity":"dd476859-8e2d-42b0-a0dc-fdff80b2da88","added_by":"auto","created_at":"2025-04-29 05:30:09","extension":"jpg","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":49442,"visible":true,"origin":"","legend":"\u003cp\u003eExtended field test results showing long-term antifouling stability.\u003c/p\u003e","description":"","filename":"7.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6497032/v1/9a2bfa2eaae0310f6a861b0c.jpg"},{"id":81603531,"identity":"8eb87f8b-492b-4eca-bbbd-7ce4e5eaf54b","added_by":"auto","created_at":"2025-04-29 04:58:10","extension":"jpg","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":58857,"visible":true,"origin":"","legend":"\u003cp\u003ePhotographs of field immersion setup\u003c/p\u003e","description":"","filename":"8.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6497032/v1/55c3e686aaed5c23e21acb43.jpg"},{"id":81745545,"identity":"292ba2c3-1771-49c5-904e-2fa977d5816e","added_by":"auto","created_at":"2025-05-01 03:46:26","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":970185,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6497032/v1/49d40704-9ffb-4713-bc46-8f51c1f869b5.pdf"},{"id":81603498,"identity":"8cb48de2-cdf0-4784-aa0c-24bc3c947be3","added_by":"auto","created_at":"2025-04-29 04:58:09","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":6734782,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryandOptionalFigures.docx","url":"https://assets-eu.researchsquare.com/files/rs-6497032/v1/fd26ec29f6a6bb1b60a8d136.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Waste-to-Coating: A Bio-derived, Circular-Economy-Based Antifouling Solution for Sustainable Marine Protection","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eBiofouling\u0026mdash;the colonization of submerged surfaces by microorganisms, algae, and invertebrates\u0026mdash;continues to undermine operational efficiency in global shipping, aquaculture, and marine infrastructure. Biofilm formation increases surface roughness and hydrodynamic drag [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e], resulting in greater fuel demands and CO₂ emissions. It also accelerates material degradation and facilitates the translocation of invasive species. The economic and environmental burden of biofouling necessitates a transition away from legacy antifouling technologies.\u003c/p\u003e \u003cp\u003eTraditionally, antifouling paints incorporate heavy metals and synthetic biocides to repel or kill marine organisms. However, these agents\u0026mdash;including copper(I) oxide, tributyltin (TBT), and arsenic derivatives\u0026mdash;leach into surrounding waters, accumulate in sediments, and damage non-target species. Regulatory bodies such as the International Maritime Organization (IMO) have progressively banned or restricted these substances, creating demand for non-toxic, durable alternatives.\u003c/p\u003e \u003cp\u003eRecent strategies [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e] have explored physical surface modification, foul-release [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e] coatings, and naturally inspired chemistries. Among emerging materials, calcium-rich [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e] biowaste holds promise as a functional filler or barrier agent. Oyster shells, produced in vast quantities through global aquaculture, remain an underutilized biowaste stream with high structural and chemical potential. Their conversion into functional additives aligns with principles of the circular economy [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e], waste valorization, and sustainable materials engineering.\u003c/p\u003e \u003cp\u003eIn this study, we developed an antifouling coating that repurposes waste oyster shells into high-performance calcium-based microparticles. The material was thermally treated and modified to enhance dispersion and hydrophobicity, then embedded into a siloxane matrix containing ZnO and TiO₂ nanoparticles. This multifunctional composite offers protection through a combination of surface alkalinity, hydrophobicity, and physical barrier effects. Twelve-month seawater immersion trials at a subtropical harbor in East Asia, affirmed the coating\u0026rsquo;s combined resistance to biofouling without relying on toxic leachates. This work contributes to the development of scalable, eco-friendly marine coatings rooted in biowaste transformation.\u003c/p\u003e"},{"header":"2. Materials and Methods","content":"\u003cp\u003eFigure \u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e1\u003c/span\u003e illustrates the stepwise preparation of the oyster-shell-derived antifouling coating.\u003c/p\u003e \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1 Preparation of oyster shell [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e] Powder\u003c/h2\u003e \u003cp\u003eDiscarded oyster shells (Crassostrea gigas) were collected from local aquaculture waste. The shells were thoroughly washed, dried at 80\u0026deg;C, and then ground into powder using a mechanical grinder. The powder was sieved to obtain a uniform particle size below 10 \u0026micro;m. To remove organic residues and enhance surface reactivity, the sieved powder was calcined in a muffle furnace at 800\u0026deg;C for 2 hours.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2 Surface Modification\u003c/h2\u003e \u003cp\u003eThe calcined powder was subjected to a two-step surface modification process. First, 3 wt% of KH-550 silane coupling agent was added to ethanol and stirred with the powder at 80\u0026deg;C for 2 hours. Second, the silane-treated particles were treated with 2 wt% stearic acid in hot ethanol (120\u0026deg;C) using ultrasonic agitation for 30 minutes to impart hydrophobicity.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.3 Coating Formulation\u003c/h2\u003e \u003cp\u003eThe modified oyster shell [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e] powder was incorporated at 5 wt% and 10 wt% loading into a siloxane resin matrix containing 1 wt% TiO₂ and 1 wt% ZnO nanoparticle. A commercial dispersant and leveling agent were added to ensure homogeneity. The coating mixture was applied onto polished metal panels (10 \u0026times; 10 cm) and cured at room temperature for 24 hours.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e2.4 Field Exposure Testing\u003c/h2\u003e \u003cp\u003eCoated and uncoated panels were submerged in coastal seawater at a subtropical harbor in East Asia, for a period of 12 months. The panels were periodically retrieved (every 3 months) to assess biofouling resistance and physical durability. Surface analysis was conducted using contact angle measurements (goniometer), scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDS), and X-ray diffraction (XRD).\u003c/p\u003e \u003c/div\u003e"},{"header":"3. Results and Discussion","content":"\u003cp\u003eAs shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e2\u003c/span\u003ea, SEM analysis confirms a highly porous microstructure, which is essential for enhancing surface area and reactive sites.\u003c/p\u003e \u003cp\u003eElemental mapping via EDS (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e2\u003c/span\u003eb) reveals a uniform distribution of calcium, oxygen, and silicon across the modified particles.\u003c/p\u003e \u003cp\u003eXRD analysis (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e) confirmed the presence of crystalline calcite (CaCO₃) and lime (CaO), consistent with thermal conversion outcomes.\u003c/p\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003e3.1 Morphological and Structural Analysis\u003c/h2\u003e \u003cp\u003eSEM imaging revealed irregular microparticle structures with porous morphology in the calcined and modified oyster shell [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e] powder. EDS confirmed elemental distribution primarily consisting of Ca, O, and Si, while XRD patterns indicated the presence of calcite and CaO phases.\u003c/p\u003e\u003cp\u003eContact angle analysis (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e4\u003c/span\u003ed) revealed effective hydrophobization, with values exceeding 80\u0026deg;, confirming the treatment's surface-modifying effect.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003e3.2 Wettability and Surface Properties\u003c/h2\u003e \u003cp\u003eContact angle measurements showed water contact angles greater than 80\u0026deg;, indicative of effective surface hydrophobization for coatings containing modified shell powder, demonstrating effective treatment and improved water repellency.\u003c/p\u003e \u003cp\u003eClose-up images (Fig.\u0026nbsp;\u003cspan refid=\"Fig8\" class=\"InternalRef\"\u003e6\u003c/span\u003e) clearly demonstrate reduced surface colonization on coated panels, indicating effective fouling suppression.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e3.3 Antifouling Performance\u003c/h2\u003e \u003cp\u003eAfter 12 months of immersion, uncoated panels were heavily fouled, while those coated with 5 wt% and 10 wt% oyster shell-based formulations showed significantly reduced algal and invertebrate adhesion. The 10 wt% formulation demonstrated near-complete resistance. The antifouling performance was reproducible across varying trials and environmental exposures.\u003c/p\u003e \u003cp\u003eExtended immersion testing results (Fig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e7\u003c/span\u003e) verify long-term performance\u003c/p\u003e \u003cp\u003eFigure \u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e8\u003c/span\u003e documents the field immersion setup used for coating validation. Further visual comparison is provided in Supplementary Figure S2, showing the gradient in fouling behavior among uncoated, intermediate, and oyster-shell-coated panels under identical marine exposure conditions.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003e3.4 Comparative Evaluation\u003c/h2\u003e \u003cp\u003eIn comparison with traditional copper-based antifouling paints, the bio-derived coating avoided toxic leaching while maintaining long-term structural integrity and biofouling resistance. These results support the feasibility of natural filler integration for long-term marine sustainability.\u003c/p\u003e\u003cp\u003eTable 1 Comparative Evaluation between Conventional and Bio-derived Antifouling Coatings\u003c/p\u003e \n\u003cp\u003e\u003cimg 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\" width=\"609\" height=\"317\"\u003e\u003c/p\u003e"},{"header":"4. Conclusion","content":"\u003cp\u003eWe developed a novel, environmentally friendly antifouling coating based on thermally processed oyster shell waste. Dual-stage surface modification rendered the particles hydrophobic and compatible with a siloxane resin system. Twelve-month field trials verified durable, biocide-free fouling resistance, particularly with 10 wt% formulations. This study establishes a robust foundation for marine biowaste valorization, offering a scalable and sustainable strategy for next-generation antifouling technologies.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eH.-P.S. conceived the idea, designed the experiments, prepared the bio-derived coating materials, conducted field immersion tests, analyzed the data, and wrote the manuscript. The author reviewed and approved the final version of the manuscript.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eSchultz, M. P. Effects of coating roughness and biofouling on ship resistance and powering. Biofouling. 2007.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChambers, L. D. et al. Modern approaches to marine antifouling [9] coatings. Surf. Coat. Technol. 2006.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eYebra, D. M., Kiil, S. \u0026amp; Dam-Johansen, K. Antifouling technology\u0026mdash;past, present and future steps. Prog. Org. Coat. 2004.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCallow, J. A. \u0026amp; Callow [4], M. E. Trends in the development of environmentally friendly fouling-resistant coatings. Nat. Commun. 2011.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eOman, I. General aspects of tin-free antifouling paints. Chem. 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Bio-based silica and its composites in antifouling coating design. ACS Sustainable Chem. Eng. 2021.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWu, C. et al. Circular economy approach using marine biowaste in functional coatings. Nat. Sustain. 2022.\u003c/span\u003e\u003c/li\u003e \u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Antifouling, Bio-derived coating, oyster shell [21], Marine sustainability, circular economy [28], Siloxane matrix","lastPublishedDoi":"10.21203/rs.3.rs-6497032/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6497032/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eMarine biofouling imposes serious challenges to sustainability by increasing fuel consumption, maintenance costs, and ecological risks across maritime operations. Conventional antifouling coatings typically rely on toxic biocides, which persist in marine environments and harm non-target organisms. This study presents a biocide-free, eco-friendly coating derived from thermally activated oyster shells, modified via silane and stearic acid treatment. Incorporated into a siloxane matrix with ZnO and TiO₂, the coating demonstrates long-term hydrophobicity and antifouling efficacy through field tests in seawater over 12 months.\u003c/p\u003e","manuscriptTitle":"Waste-to-Coating: A Bio-derived, Circular-Economy-Based Antifouling Solution for Sustainable Marine Protection","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-04-29 04:58:04","doi":"10.21203/rs.3.rs-6497032/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"5bde6800-bb6a-4126-98cb-f4bd72b0b75a","owner":[],"postedDate":"April 29th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":47581983,"name":"Earth and environmental sciences/Ecology"},{"id":47581984,"name":"Earth and environmental sciences/Environmental sciences"},{"id":47581985,"name":"Physical sciences/Materials science"},{"id":47581986,"name":"Physical sciences/Nanoscience and technology"}],"tags":[],"updatedAt":"2025-05-01T03:38:20+00:00","versionOfRecord":[],"versionCreatedAt":"2025-04-29 04:58:04","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6497032","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6497032","identity":"rs-6497032","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}