This analysis shows how magnetic nanoparticles can enhance radionanotherapy and imaging in nuclear medicine.
In this article, we systematize nonlinear effects that enable configuring magnetic fields inside magnetic nanofluids and ferrofluids at micro- and submillimeter scales for nuclear medicine, and we propose tandem magnetic nanoparticles as a realistic platform for combined radionanotherapy and high-precision imaging, provided local sources of ∇ B and standardized radiochemistry. We show how nonlinear magnetization $M(H)$ and field-dependent permeability μ(H) produce self-focusing of induction and “magnetic pressure”; how the normal-field (Rosensweig) instability generates periodic maps of ∇ B² for capture and sorting; and how dipole-induced self-organization (chains, ribbons, percolation) reshapes the medium’s effective anisotropy and magnetorheology. We consider nonstationary protocols (harmonic and rotating fields) that provide flow rectification and programmable orientation of structures at low Mason number, as well as inverse ferrofluids with negative magnetophoresis for label-free focusing in microchannels. We discuss feedback methods (MPS/MPI) that enable in situ mapping of saturation zones, clustering, and tracer distributions. Practical guidelines are formulated: operate near presaturation, combine local flux guides/inserts with a DC gradient and a low-frequency rotating field, and use polydispersity and mixed shapes (spheres+rods) for controlled percolation. Limits of controllability are noted: geometric decay of gradients, saturation, heating in AC regimes, and hysteretic transitions. The target applications are microfluidic concentration, targeted delivery, and selective fixation of nanoparticles, where nonlinear effects are the primary tools for “drawing” internal fields. Two-component magnetic fluids with radioactive sources provide flexibility: separate optimization of magnetics and radiochemistry, use nonlinear assembly for internal gradient amplification, and rely on clinically established radioplatforms for dose verification.
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Abishev et al. (2025) studied this question.
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