Document type

Article

Version

Published version

Publication date

Publication license

cc-by (c)  Bain, J. et al., 2015
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/222258

In situ formation of magnetopolymersomes via electroporation for MRI<br />

Journal Title

Director/Tutor

Journal ISSN

Volume Title

Abstract

As the development of diagnostic/therapeutic (and combined: theranostic) nanomedicine grows, smart drug-delivery vehicles become ever more critical. Currently therapies consist of drugs tethered to, or encapsulated within nanoparticles or vesicles. There is growing interest in functionalising them with magnetic nanoparticles (MNPs) to target the therapeutics by localising them using magnetic fields. An alternating magnetic field induces remote heating of the particles (hyperthermia) triggering drug release or cell death. Furthermore, MNPs are diagnostic MRI contrast agents. There is considerable interest in MNP embedded vehicles for nanomedicine, but their development is hindered by difficulties producing consistently monodisperse MNPs and their reliable loading into vesicles. Furthermore, it is highly advantageous to "trigger" MNP production and to tune the MNP's size and magnetic response. Here we present the first example of a tuneable, switchable magnetic delivery vehicle for nanomedical application. These are comprised of robust, tailored polymer vesicles (polymersomes) embedded with superparamagnetic magnetite MNPs (magnetopolymersomes) which show good MRI contrast (R2* = 148.8 s−1) and have a vacant core for loading of therapeutics. Critically, the magnetopolymersomes are produced by a pioneering nanoreactor method whereby electroporation triggers the in situ formation of MNPs within the vesicle membrane, offering a switchable, tuneable magnetic responsive theranostic delivery vehicle.

Citation

Citation

BAIN, Jennifer, et al. In situ formation of magnetopolymersomes via electroporation for MRI
. Scientific Reports. 2015. ISSN 2045-2322. [consulted: 13 of June of 2026]. Available at: https://hdl.handle.net/2445/222258

Export metadata

JSON - METS

Share record