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Ultra-small Iron-Gallic Acid Coordination Polymer Nanoparticles for Chelator-free Labeling of 64Cu and Multimodal Imaging-guided Photothermal Therapy

Abstract

Cancer nanotechnology has become the hot topic nowadays. While various kinds of nanomaterials have been widely explored for innovative cancer imaging and therapy applications, safe multifunctional nano-agents without long-term retention and toxicity are still demanded. Herein, iron-gallic acid coordination nanoparticles (Fe-GA CPNs) with ultra-small sizes are successfully synthesized by a simple method for multimodal imaging-guided cancer therapy. After surface modification with polyethylene glycol (PEG), the synthesized Fe-GA-PEG CPNs show high stability in various physiological solutions. Taking advantages of high near-infrared (NIR) absorbance as well as the T1-MR contrasting ability of Fe-GA-PEG CPNs, in vivo photoacoustic tomography (PAT) and magnetic resonance (MR) bimodal imaging is carried out, revealing efficient passive tumor targeting of these ultra-small CPNs after intravenous (i. v.) injection. Interestingly, such Fe-GA-PEG CPNs could be labeled with 64Cu isotope via a chelator-free method for in vivo PET imaging, which also illustrates the high tumor uptake of Fe-GA CPNs. We further utilize Fe-GA-PEG CPNs for in vivo photothermal therapy and achieve highly effective tumor destruction after i.v. injection of Fe-GA-PEG CPNs and the followed NIR laser irradiation of tumors, without observing apparent toxicity of such CPNs to the treated animals. Our work highlights the promises of ultra-small iron coordination nanoparticles for imaging-guided cancer therapy.

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Publication details

The article was received on 07 May 2017, accepted on 30 Jul 2017 and first published on 31 Jul 2017


Article type: Paper
DOI: 10.1039/C7NR03086J
Citation: Nanoscale, 2017, Accepted Manuscript
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    Ultra-small Iron-Gallic Acid Coordination Polymer Nanoparticles for Chelator-free Labeling of 64Cu and Multimodal Imaging-guided Photothermal Therapy

    Q. Jin, W. Zhu, D. Jiang, R. Zhang, C. J. Kutyreff, J. W. Engle, P. Huang, W. Cai, Z. Liu and L. Cheng, Nanoscale, 2017, Accepted Manuscript , DOI: 10.1039/C7NR03086J

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