Ligand-Driven Optimization of Iron Oxide Nanoprobes forIn Vivo MRI Enhancement at Ultra-High Field

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Física Aplicada
dc.contributor.affiliationUniversidade de Santiago de Compostela. Instituto de Materiais (iMATUS)
dc.contributor.authorGarcía Acevedo, Pelayo
dc.contributor.authorAlonso Alonso, María Luz
dc.contributor.authorOrtega Espina, Sara
dc.contributor.authorBañobre López, Manuel
dc.contributor.authorPiñeiro Redondo, Yolanda
dc.contributor.authorIglesias Rey, Ramón
dc.contributor.authorRivas Rey, José
dc.date.accessioned2026-04-21T11:43:27Z
dc.date.available2026-04-21T11:43:27Z
dc.date.issued2026-02-03
dc.description.abstractUltra-high-field magnetic resonance imaging (UHF-MRI, B0 > 7 T) combined with contrast enhancement (CE-MRI) offersunmatched spatial resolution, but high-field effects limit the performance of negative contrast agents. Here, we report a ligand-driven strategy to modulate the T2 relaxivity (r2 ) of monodisperse 12 nm iron oxide-based contrast agents synthesized by thermaldecomposition. Five surface chemistries–polyacrylic acid (PAA), poly(isobutylene-alt-maleic anhydride) (PMA), poly(maleicanhydride-alt-1-octadecene) (PMAO), citric acid (CA), and silica (SiO2 )─ were investigated under physiological conditions andin vivo using relaxometry (1.4 T), clinical (3 T), and UHF (9.4 T) MRI, achieving up to a 333 mm−1 s−1 increase in r2 . CA-coated T2contrast agents exhibited record-high r2 values (522 mm−1 s−1 at 3 T; 381 mm−1 s−1 at 9.4 T) in spherical iron oxide MNPs withinthe superparamagnetic size range (d < 20 nm). Correlations of r2 with hydrodynamic size, ζ-potential, and coating thicknessrevealed that ligand chemistry–specifically hydrophilicity and anionic surface charge–dominates over physical shell dimensionsin governing water accessibility and magnetic dephasing. This scalable ligand-exchange strategy enables precise T2 tuning at UHF,with phantom results reliably predicting in vivo UHF-MRI performance in rat brain models, advancing the design of neuroimaging nanoprobes.
dc.description.peerreviewedSI
dc.description.sponsorshipThis work was supported by CARTsol project (PLEC2022-009217 funded by MICINN/AEI /10.13039/ 501100011033 and NextGenerationEU/ PRTR). P. García-Acevedo thanks to Axencia Galega de Innovación (Spain) for his Posdoctoral Grant (Axudas de apoio á etapa de formación posdoutoral – IN606B-2024.1). R. Iglesias-Rey (CP22/00061) from the Miguel Servet Program of Instituto de Salud Carlos III and Co-financed by the EU.
dc.identifier.citationGarcía‐Acevedo, P., Alonso‐Alonso, M. L., Ortega‐Espina, S., Bañobre‐López, M., Piñeiro, Y., Iglesias‐Rey, R., & Rivas, J. (2026). Ligand‐driven optimization of iron oxide nanoprobes for in vivo MRI enhancement at ultra‐high field. Small Journal, 22. https://doi.org/10.1002/smll.202509792
dc.identifier.doi10.1002/smll.202509792
dc.identifier.essn1613-6829
dc.identifier.issn1613-6810
dc.identifier.urihttps://hdl.handle.net/10347/46870
dc.journal.titleSmall Journal
dc.language.isoeng
dc.page.final17
dc.page.initial1
dc.publisherWiley
dc.relation.publisherversionhttp://doi.org/10.1002/smll.202509792
dc.rights© 2026 International Iberian Nanotechnology Laboratory and The Author(s). Small published by Wiley-VCH GmbH This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectContrast agents
dc.subjectLigand exchange
dc.subjectMagnetic contrast agents
dc.subjectMagnetic resonance
dc.subjectUltra high field-MRI
dc.titleLigand-Driven Optimization of Iron Oxide Nanoprobes forIn Vivo MRI Enhancement at Ultra-High Field
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number22
dspace.entity.typePublication
relation.isAuthorOfPublication04341b4a-d49c-44c0-bfeb-b646dc286ddc
relation.isAuthorOfPublicationb93d54f0-7941-4717-887f-1ef5ca4c6a17
relation.isAuthorOfPublication.latestForDiscovery04341b4a-d49c-44c0-bfeb-b646dc286ddc

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