Magnetic separation of iron oxide nanoparticles to improve their application for magnetic particle imaging

Autor(es)

Arsalani, Soudabeh ^{[1, 2]} ; Loewa, Norbert ^[1] ; Kosch, Olaf ^[1] ; Radon, Patricia ^[1] ; Baffa, Oswaldo ^[2] ; Wiekhorst, Frank ^[1]

Afiliação do(s) autor(es)

^[1] Phys Tech Bundesanstalt, Abbestr 2-12, D-10587 Berlin - Germany

^[2] Univ Sao Paulo, Dept Phys, FFCLRP, Ave Bandeirantes 3900, BR-1404091 Ribeirao Preto, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Physics in Medicine and Biology; v. 66, n. 1 JAN 7 2021.
• Citações Web of Science: 0

Resumo

Magnetic particle imaging (MPI) is a promising medical imaging technique for visualizing the three-dimensional distribution of tracer materials, specifically iron oxide nanoparticles (IONP). The optimization of magnetic nanoparticles (MNP) plays an essential role to improve the image resolution and sensitivity of imaging techniques. Objective. In this work, the optimization of commercial IONP (EMG 700, Ferrotec) coated with anionic surfactants was carried out using magnetic separation (MS) technique, by a low gradient magnetic separation (LGMS) (<15 T m(-1)) method, to improve their performance as MPI tracers. Approach. The magnetophoretical behavior of the samples in different concentrations ranging from 2 to 120 mmol l(-1) was investigated over 24 h of separation. The samples were characterized by dynamic light scattering (DLS), AC susceptibility (ACS), magnetic particle spectroscopy (MPS) and they were imaged in a preclinical MPI scanner, before and after MS. Main results. DLS results showed that by increasing the concentration from 2 to 120 mmol l(-1) the hydrodynamic diameter of MNP decrease from 75 to 47 nm and size distribution decrease from 0.19 to 0.11 after 4 min MS. In addition, the MPS results demonstrated the third harmonic amplitude normalized to the iron amount (A(3){*}) and harmonic ratio (A(5)/A(3)) of signal increase from 8.38 to 10.59 Am-2 kg(-1) (Fe) and 24.21-26.60, respectively. Furthermore, the MPI images of the samples after separation showed higher MPI resolution. Significance. Therefore, LGMS can be considered as a valuable method to narrow and control the size distribution of MNP for MPI. (AU)

• Processo FAPESP: 13/07699-0 - Centro de Pesquisa, Inovação e Difusão em Neuromatemática - NeuroMat
• Beneficiário: Oswaldo Baffa Filho
• Modalidade de apoio: Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs