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Transferrin-Decorated Niosomes with Integrated InP/ZnS Quantum Dots and Magnetic Iron Oxide Nanoparticles : Dual Targeting and Imaging of Glioma

ORCID
0000-0002-7582-1431
Affiliation/Institute
Institute for Particle Technology (iPAT), Technische Universität Braunschweig
Ag Seleci, Didem;
GND
1198896671
Affiliation/Institute
Institute for Particle Technology (iPAT), Technische Universität Braunschweig
Maurer, Viktor; Barlas, Firat Baris;
GND
1157033172
Affiliation/Institute
Institute for Particle Technology (iPAT), Technische Universität Braunschweig
Porsiel, Julian Cedric;
Affiliation/Institute
Institute for Particle Technology (iPAT), Technische Universität Braunschweig
Temel, Bilal; Ceylan, Elcin; Timur, Suna; Stahl, Frank; Scheper, Thomas;
ORCID
0000-0002-7499-4947
Affiliation/Institute
Institute for Particle Technology (iPAT), Technische Universität Braunschweig
Garnweitner, Georg

The development of multifunctional nanoscale systems that can mediate efficient tumor targeting, together with high cellular internalization, is crucial for the diagnosis of glioma. The combination of imaging agents into one platform provides dual imaging and allows further surface modification with targeting ligands for specific glioma detection. Herein, transferrin (Tf)-decorated niosomes with integrated magnetic iron oxide nanoparticles (MIONs) and quantum dots (QDs) were formulated (PEGNIO/QDs/MIONs/Tf) for efficient imaging of glioma, supported by magnetic and active targeting. Transmission electron microscopy confirmed the complete co-encapsulation of MIONs and QDs in the niosomes. Flow cytometry analysis demonstrated enhanced cellular uptake of the niosomal formulation by glioma cells. In vitro imaging studies showed that PEGNIO/QDs/MIONs/Tf produces an obvious negative-contrast enhancement effect on glioma cells by magnetic resonance imaging (MRI) and also improved fluorescence intensity under fluorescence microscopy. This novel platform represents the first niosome-based system which combines magnetic nanoparticles and QDs, and has application potential in dual-targeted imaging of glioma.

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