Three-Dimensional-Printed Calcium Alginate/Graphene Oxide Porous Adsorbent with Super-High Lead Ion Adsorption Ability in Aqueous Solution | 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 Three-Dimensional-Printed Calcium Alginate/Graphene Oxide Porous Adsorbent with Super-High Lead Ion Adsorption Ability in Aqueous Solution Na Wang, Fuxiang Song, Yuxin Niu, Zezhou Hu, Wenjie Chen, Bin Liu, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2302475/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 Using three-dimensional (3D) printing technology, a 3D calcium alginate/graphene oxide (3D CA/GO) adsorbent, with a hierarchical macroporous structure, was successfully constructed with a light weight, good structural stability (operability), hydrophilicity, and other excellent properties. Owing to the optimized construction process and controllable construction, the 3D CA/GO showed an enhanced adsorption capacity for lead (Pb 2+ ) in aqueous solution (for example, at pH = 3, the adsorption capacity was 490.2 mg/g, which was two times higher than reported in the literature). Meanwhile, the selective adsorption ratio of 3D CA/GO for Pb 2+ reached 99.8% when positive ions occurred. In addition, after eight adsorption-desorption cycles, the adsorption capacity did not experience a significant decrease and the structure remained stable. Meanwhile, the adsorbed Pb 2+ could be eluted by hydrochloric acid, thus realizing the recovery, concentration, and recycling of Pb 2+ . Moreover, through characterization analysis and Ca 2+ releasing experiment, we confirmed that the adsorption mechanism of 3D CA/GO consisted of electrostatic interactions, ion exchange and chelation. According to the actual situation, choose the waste water of medical environment, and 3D CA/GO was verified as capable of removing and recycling Pb 2+ . The immersion experiment using simulation wastewater solution containing heavy metal ions also indicated that 3D CA/GO could maintain structural stability and sustain its adsorption capacity. Its excellent structural stability, strong adsorption capacity, and outstanding selective adsorption capacity were attributed to the controllable construction and optimized structure of hierarchical macroporous materials by 3D printing technology. 3D printing CA/GO Porous structure Pb2+ Adsorption Wastewater Full Text Supplementary Files DeclarationofInterestStatement.docx SupportingInformation.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. 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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-2302475","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":163485368,"identity":"a2093341-4ee9-4d73-9bd2-b95e279f7e7a","order_by":0,"name":"Na Wang","email":"","orcid":"","institution":"Lanzhou University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Na","middleName":"","lastName":"Wang","suffix":""},{"id":163485369,"identity":"55d62ba4-0fa0-4ef5-93eb-8e607785b37d","order_by":1,"name":"Fuxiang Song","email":"","orcid":"","institution":"Lanzhou 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