Artificially engineered antiferromagnetic nanoprobes for ultra-sensitive histopathological level magnetic resonance imaging

Zeyu Liang, Qiyue Wang, Hongwei Liao, Meng Zhao, Jiyoung Lee, Chuang Yang, Fangyuan Li and Daishun Ling ()
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Zeyu Liang: Institute of Pharmaceutics and College of Pharmaceutical Sciences, Zhejiang University
Qiyue Wang: Institute of Pharmaceutics and College of Pharmaceutical Sciences, Zhejiang University
Hongwei Liao: Institute of Pharmaceutics and College of Pharmaceutical Sciences, Zhejiang University
Meng Zhao: Institute of Pharmaceutics and College of Pharmaceutical Sciences, Zhejiang University
Jiyoung Lee: Institute of Pharmaceutics and College of Pharmaceutical Sciences, Zhejiang University
Chuang Yang: Institute of Pharmaceutics and College of Pharmaceutical Sciences, Zhejiang University
Fangyuan Li: Institute of Pharmaceutics and College of Pharmaceutical Sciences, Zhejiang University
Daishun Ling: Institute of Pharmaceutics and College of Pharmaceutical Sciences, Zhejiang University

Nature Communications, 2021, vol. 12, issue 1, 1-11

Abstract: Abstract Histopathological level imaging in a non-invasive manner is important for clinical diagnosis, which has been a tremendous challenge for current imaging modalities. Recent development of ultra-high-field (UHF) magnetic resonance imaging (MRI) represents a large step toward this goal. Nevertheless, there is a lack of proper contrast agents that can provide superior imaging sensitivity at UHF for disease detection, because conventional contrast agents generally induce T2 decaying effects that are too strong and thus limit the imaging performance. Herein, by rationally engineering the size, spin alignment, and magnetic moment of the nanoparticles, we develop an UHF MRI-tailored ultra-sensitive antiferromagnetic nanoparticle probe (AFNP), which possesses exceptionally small magnetisation to minimize T2 decaying effect. Under the applied magnetic field of 9 T with mice dedicated hardware, the nanoprobe exhibits the ultralow r2/r1 value (~1.93), enabling the sensitive detection of microscopic primary tumours (

Date: 2021
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DOI: 10.1038/s41467-021-24055-2

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