{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T03:52:25Z","timestamp":1791777145925,"version":"4.3.4"},"reference-count":256,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T00:00:00Z","timestamp":1776384000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Pharmaceutics"],"abstract":"<jats:p>Background\/Objectives: Magnetic nanoparticles have emerged as powerful tools for biomedical imaging, targeted drug delivery, and hyperthermia therapy. Magnetic particle imaging (MPI) is among the most promising technologies built around its properties: a radiation-free, quantitative tomographic modality that detects superparamagnetic iron oxide nanoparticles (SPIONs) directly against a biologically silent background. This review synthesizes MPI\u2019s physical principles, nanoparticle design strategies, and preclinical applications within the broader landscape of magnetic material engineering for biomedical use. Methods: A systematic review was conducted covering MPI signal generation and image reconstruction, nanoparticle core synthesis and surface coating approaches, and preclinical applications, spanning cell tracking, oncological imaging, vascular perfusion, neuroimaging, and MPI-guided theranostics. Studies were selected to provide quantitative benchmarks and direct comparisons with competing modalities where available. Results: MPI delivers signal-to-background ratios above 1000:1, iron-mass linearity at R2 \u2265 0.99, regardless of tissue depth, and acquisition rates up to 46 volumes per second. Tracer architecture\u2014encompassing single-core particles, multicore nanoflowers, and stimuli-responsive cluster designs\u2014is the primary determinant of sensitivity, environmental robustness, and theranostic capability. Preclinical results include detection of cell populations in the low thousands, earlier ischaemia identification than diffusion-weighted MRI, real-time drug release quantification, and spatially confined tumour hyperthermia. Three translational bottlenecks are identified: the absence of a clinically approved tracer with optimal relaxation dynamics, hardware performance losses when scaling to human-bore systems, and overestimation of passive tumour accumulation in murine models. Conclusions: MPI illustrates how progress in magnetic material design directly expands clinical imaging and theranostic possibilities. Successful translation will require indication-driven, interdisciplinary development that integrates materials science, scanner engineering, and regulatory strategy in parallel.<\/jats:p>","DOI":"10.3390\/pharmaceutics18040497","type":"journal-article","created":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T16:30:36Z","timestamp":1776443436000},"page":"497","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["From Magnetic Moment to Magnetic Particle Imaging: A Comprehensive Review on MPI Technology, Tracer Design and Biological Applications"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7828-2947","authenticated-orcid":false,"given":"Alessandro","family":"Negri","sequence":"first","affiliation":[{"name":"Biological Resources Imaging Laboratory, Mark Wainwright Analytical Centre, University of New South Wales (UNSW), Sydney, NSW 2052, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2828-3853","authenticated-orcid":false,"given":"Andre","family":"Bongers","sequence":"additional","affiliation":[{"name":"Biological Resources Imaging Laboratory, Mark Wainwright Analytical Centre, University of New South Wales (UNSW), Sydney, NSW 2052, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,4,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1318","DOI":"10.1002\/jmri.27192","article-title":"Mri of the Neonatal Brain: A Review of Methodological Challenges and Neuroscientific Advances","volume":"53","author":"Dubois","year":"2021","journal-title":"J. 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