Suppr超能文献

用于双模态磁共振成像引导癌症化疗的中空铁钆纳米网络的研发

Development of hollow ferrogadolinium nanonetworks for dual-modal MRI guided cancer chemotherapy.

作者信息

Tang Ting, Sun Xiao, Xu Xuedong, Bian Yifeng, Ma Xiaojie, Chen Ning

机构信息

Jiangsu Key Laboratory of Oral Diseases, Nanjing Medical University Nanjing 210029 China

Department of Dental Implantology, Hefei Stomatology Hospital, Clinical School of Anhui Medical University Hefei 230001 China.

出版信息

RSC Adv. 2019 Jan 18;9(5):2559-2566. doi: 10.1039/c8ra09102a.

Abstract

The development of hollow ferrogadolinium nanonetworks has not been reported for nanomedicine application until now. In this study, we developed a hollow and porous ferrogadolinium nanonetwork structure using the one-pot solvothermal method. This nanoparticle could be simultaneously used as a and dual-modal magnetic resonance imaging (MRI) contrast agent. In addition, the hollow lumen and abundant pores of the nanonetworks maximized the loading capacity and conferred the nanoplatforms for suitable anticancer drug loading capacity. Using these nanonetworks, MRI and anticancer experiments were conducted and satisfactory dual-modal MRI and cancer chemotherapy results were obtained. Therefore, the nanonetworks with dual-modal MRI and drug loading abilities effectively complement the ferrogadolinium composites' library and hold great promise in nanomedicine for simultaneous cancer diagnosis and chemotherapy.

摘要

直到现在,中空铁钆纳米网络在纳米医学应用方面的发展尚未见报道。在本研究中,我们采用一锅溶剂热法制备了一种中空多孔的铁钆纳米网络结构。这种纳米粒子可同时用作 和 双模态磁共振成像(MRI)造影剂。此外,纳米网络的中空内腔和丰富孔隙使负载能力最大化,并赋予纳米平台合适的抗癌药物负载能力。利用这些纳米网络进行了MRI和抗癌实验,并获得了令人满意的双模态MRI和癌症化疗结果。因此,具有双模态MRI和药物负载能力的纳米网络有效地补充了铁钆复合材料库,并在纳米医学中用于同时进行癌症诊断和化疗方面具有巨大潜力。

原文中“a and dual-modal”处有缺失信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd63/9059866/03ed1670954b/c8ra09102a-s1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验