ReviewChemical & biomedical imaging2026
Spin State Modulation Strategies for Transition Metal-Based MRI Contrast Agents.
Review in Chemical & biomedical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
5 authors.
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Abstract
Magnetic resonance imaging (MRI) is a powerful diagnostic tool that relies on contrast agents (CAs) to enhance image resolution and specificity. Transition metal complexes play a crucial role in this context, as their spin states directly influence their paramagnetic properties and relaxation efficiency. The ability to modulate spin state provides an avenue for designing responsive MRI CAs with improved performance and adaptability to biological environments. This review explores three primary strategies for spin state regulation in transition metal-based MRI CAs. First, redox-mediated modulation employs oxidation-reduction reactions to switch spin states by altering the electronic structure of the metal center. This mechanism enables dynamic tuning of contrast properties in response to physiological redox variations. Second, ligand field engineering tailors spin states by modifying the coordination environment and ligand field strength, thereby modulating the electronic distribution around the metal center. This strategy allows for precise control over spin transitions and expands the scope of responsive MRI CAs. Third, magnetic coupling leverages exchange interactions between metal centers to influence the collective magnetic properties. The integration of spin state modulation strategies holds great promise for advancing transition metal complex-based CAs, ultimately improving diagnostic precision and expanding the utility of MRI in biomedical applications. By systematically analyzing these approaches, this review provides a framework for designing next-generation MRI CAs.
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