Xiang Zhou, Nan Zhang, Sixue Ouyang, Ningxuan Liu, Zhiyuan Zheng, Yuanyuan You, Yida An, Ling Lu, Peng Zhao*, Yang Wang* and Jia Tao*,
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引用次数: 0
Abstract
Magnetic resonance imaging (MRI) often employs contrast agents (CAs) to improve the visualization of lesions. Although iron-based oxides have been clinically approved as T2 CAs, various obstacles have hindered their widespread commercial use. Consequently, there is a pressing demand for innovative T2-type CAs. Herein, we synthesized an iron-based hydrogen-bonded organic framework (Fe-HOF) from Fe-TCPP and explored its potential as a T2-weighted MRI CA. The Fe-HOF demonstrated a superior relaxivity (r2) of 32.067 mM–1 s–1 and a higher r2/r1 ratio of 45.25 compared to Fe-TCPP. This enhancement may be attributed to the combination of the single-atom form of Fe3+ with its increased radius. Our findings indicate that a 6 μmol [Fe]/kg dose of Fe-HOF significantly improves lesion contrast in T2-weighted MRI scans of subcutaneous tumor model mice and liver metastasis model mice of breast tumor. The simplicity of Fe-HOF’ s structure ensures the absence of complex metal ions or ligands during synthesis, and the iron component can be metabolized into the endogenous iron pool, resulting in remarkable biocompatibility and biosafety. These findings pave the way for the design of novel T2-weighted MRI probes tailored for cancer characterization at various stages.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.