Issue 5, 2019
From the journal:

RSC Advances

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

Ting Tang, ORCID logo ‡ab   Xiao Sun,‡*c   Xuedong Xu,‡d   Yifeng Bian,a   Xiaojie Maa  and  Ning Chen*a  

* Corresponding authors

a Jiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, Nanjing, China
E-mail: dentistchenning@126.com

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

c Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore
E-mail: xiaosun8000@163.com

d China Shijiazhuang Pharmaceutical Group Co., Ltd., Shijiazhuang, China

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 T1 and T2 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 in vitro 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.

Graphical abstract: Development of hollow ferrogadolinium nanonetworks for dual-modal MRI guided cancer chemotherapy

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Article information

DOI
https://doi.org/10.1039/C8RA09102A
Article type
Paper
Submitted
03 Nov 2018
Accepted
26 Dec 2018
First published
18 Jan 2019
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2019,9, 2559-2566

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

T. Tang, X. Sun, X. Xu, Y. Bian, X. Ma and N. Chen, RSC Adv., 2019, 9, 2559 DOI: 10.1039/C8RA09102A

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