Institute of Chemicobiology and Functional Materials, School of Chemical Engineering, Nanjing University of Science and Technology, 200 Xiao Ling Wei Street, Nanjing, Jiangsu Province, China.
Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, 199 Ren Ai Road, Suzhou Industrial Park, Suzhou, Jiangsu Province, China.
Mater Sci Eng C Mater Biol Appl. 2021 May;124:112037. doi: 10.1016/j.msec.2021.112037. Epub 2021 Mar 20.
Multi-modal imaging technologies are playing an increasingly important role in biomedical research. However, there remains a demanding challenge to develop biocompatible contrast agents via a simple, green synthetic route for multi-modal imaging. Here we report the synthesis and applications of a new contrast agent for triple-modal imaging, that is, iodine-containing N-doping carbon nano-dots hybridized with FeO nanoparticles (I@CNDs-FeO). We develop a one-pot, environment friendly hydrothermal method to synthesize the hybrid nanoparticles, primarily using kelp as the bioresource. I@CNDs-FeO nanoparticles have been demonstrated to exhibit excellent multi-modal imaging capabilities, including wavelength-tunable fluorescent imaging, X-ray attenuation for CT imaging enhancement, and T2-Weighted MR imaging. Importantly, the formulation of the hybrid nanoparticle provides an optimal solution to address the disequilibrium of osmotic pressure caused by the conventional CT imaging contrast agents of iodine compounds. The I@CNDs-FeO nanoparticles promise important applications in multi-modal imaging technologies in vivo as a versatile and biocompatible contrast agent.
多模态成像技术在生物医学研究中发挥着越来越重要的作用。然而，开发通过简单、绿色的合成路线用于多模态成像的生物相容对比剂仍然具有挑战性。在这里，我们报告了一种新型三模态成像对比剂的合成及其应用，即含碘的 N 掺杂碳纳米点与 FeO 纳米颗粒的杂化（I@CNDs-FeO）。我们开发了一种一锅、环保的水热方法来合成这种杂化纳米粒子，主要使用海带作为生物资源。已经证明，I@CNDs-FeO 纳米粒子具有优异的多模态成像能力，包括波长可调荧光成像、用于 CT 成像增强的 X 射线衰减和 T2 加权磁共振成像。重要的是，该杂化纳米粒子的配方提供了一个优化的解决方案，可以解决碘化合物常规 CT 成像对比剂引起的渗透压失衡问题。I@CNDs-FeO 纳米粒子有望作为一种多功能且生物相容的对比剂，在体内的多模态成像技术中得到重要应用。
