Data in Brief
(Dec 2017)
Data on iron oxide core oil-in-water nanoemulsions for atherosclerosis imaging
- Geoffrey Prévot,
- Stéphane Mornet,
- Cyril Lorenzato,
- Tina Kauss,
- Laurent Adumeau,
- Alexandra Gaubert,
- Julie Baillet,
- Philippe Barthélémy,
- Gisèle Clofent-Sanchez,
- Sylvie Crauste-Manciet
Affiliations
- Geoffrey Prévot
- Univ. Bordeaux, INSERM, U1212, CNRS UMR 5320, ARNA, ARN: Régulations Naturelle et Artificielle, ChemBioPharm, F-33000 Bordeaux, France
- Stéphane Mornet
- CNRS, Univ. Bordeaux, ICMCB, UPR 9048, F-33600 Pessac, France
- Cyril Lorenzato
- Univ. Bordeaux, CNRS UMR 5536, CRMSB, Centre de Résonance Magnétique des Systèmes Biologiques, F-33000 Bordeaux, France
- Tina Kauss
- Univ. Bordeaux, INSERM, U1212, CNRS UMR 5320, ARNA, ARN: Régulations Naturelle et Artificielle, ChemBioPharm, F-33000 Bordeaux, France
- Laurent Adumeau
- CNRS, Univ. Bordeaux, ICMCB, UPR 9048, F-33600 Pessac, France
- Alexandra Gaubert
- Univ. Bordeaux, INSERM, U1212, CNRS UMR 5320, ARNA, ARN: Régulations Naturelle et Artificielle, ChemBioPharm, F-33000 Bordeaux, France
- Julie Baillet
- Univ. Bordeaux, INSERM, U1212, CNRS UMR 5320, ARNA, ARN: Régulations Naturelle et Artificielle, ChemBioPharm, F-33000 Bordeaux, France
- Philippe Barthélémy
- Univ. Bordeaux, INSERM, U1212, CNRS UMR 5320, ARNA, ARN: Régulations Naturelle et Artificielle, ChemBioPharm, F-33000 Bordeaux, France
- Gisèle Clofent-Sanchez
- Univ. Bordeaux, CNRS UMR 5536, CRMSB, Centre de Résonance Magnétique des Systèmes Biologiques, F-33000 Bordeaux, France
- Sylvie Crauste-Manciet
- Univ. Bordeaux, INSERM, U1212, CNRS UMR 5320, ARNA, ARN: Régulations Naturelle et Artificielle, ChemBioPharm, F-33000 Bordeaux, France; Corresponding author.
- Journal volume & issue
-
Vol. 15
pp.
876
– 881
Abstract
Read online
The data presented in this article are related to the publication entitled âIron oxide core oil-in-water nanoemulsion as tracer for atherosclerosis MPI and MRI imagingâ (Prévot et al., 2017) [1]. Herein we describe the synthesis and the characteristics of the Superparamagnetic Iron Oxide Nanoparticles (SPION) loaded inside nanoemulsions (NEs). Focus was set on obtaining SPION with narrow size distribution and close to superparamagnetic limit (20 nm) in order to reach a reasonable magnetic signal. Nanoparticles (NPs) of three different sizes were obtained (7, 11 and 18 nm) and characterized using transmission electron microscopy (TEM), X-ray diffraction (XRD), vibrating sample magnetometer (VSM), diffuse reflectance infrared Fourier transform (DRIFT) and thermogravimetric analysis (TGA). SPION were coated with oleic acid (OA) in order to load them inside the oily core of NEs droplets. SPION loaded NEs were magnetically sorted using MACS® MS Column (Miltenyi Biotec) and iron quantification was performed by UV-spectrometry measurements.
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