Generalized blood vessel models for magnetic nanoparticle-based oncology: geometric and microfluidic properties

Generalized blood vessel models for magnetic nanoparticle-based oncology: geometric and microfluidic properties | 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 Generalized blood vessel models for magnetic nanoparticle-based oncology: geometric and microfluidic properties Daniel Fleischhauer, Samuel Schlicht, Dietmar Drummer This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7883940/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 Superparamagnetic iron oxide nanoparticles (SPIONs) represent an emerging class of nanoparticles that face increasing applications in medicine, in particular in nanoparticle-based oncology. Their superparamagnetic properties allow for the magnetic steering and the interlinked targeted and localized delivery of pharmaceuticals. The development of nanoparticle-based therapies requires a deep understanding of geometry‑hydrodynamics‑adhesion interactions, motivating the generation of blood vessel models. The present work addresses the geometry-dependent propagation of SPIONs under magnetic steering through generalized, transferable geometries. Such geometries were derived based on generalized, statistical considerations of branch-dependent vessel diameters, yielding a reproducible and transferable testing environment independent on individual angiographic data. Based on stereolithographic additive manufacturing, fluidic models with varied blood vessel diameters and branching orders were manufactured and tested under varying magnetic steering conditions, injected SPION concentration, and flow rate. Through optical in situ measurements and complementary ex situ scanning electron microscopy, a significant influence of turbulent flow phenomena on the magnetic steerability could be identified. While reduced flow rates were associated with locally laminar flows alongside the magnetic steering of SPION-containing colloidal solutions at a magnetic flux density of B = 0.35 T, increased flow rates and interlinked turbulent flows were shown to impair the magnetically controlled, local SPION deposition. Hence, flow conditions present in larger arteries and bifurcations during SPION injection can be shown to significantly influence the quantitative magnetic steering of SPIONs in biosimilar fluidic models, with reduced flow rates in peripheral vessels displaying an enhanced local deposition and retention of SPIONs across different vessel branching orders. 3D tumor models Magnetic drug targeting Particle distribution Microfluidic test bench Nanoparticles Full Text Additional Declarations No competing interests reported. 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. 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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-7883940","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":531647980,"identity":"a8e95ecf-c3b6-4d5d-acd2-ab793ce33f06","order_by":0,"name":"Daniel 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