Particle size determination from magnetization curves in reduced graphene oxide decorated with monodispersed superparamagnetic iron oxide nanoparticles.
Iron oxide nanoparticles
Microwave-assisted synthesis
Reduced graphene oxide
Size determination
Superparamagnetism
Journal
Journal of colloid and interface science
ISSN: 1095-7103
Titre abrégé: J Colloid Interface Sci
Pays: United States
ID NLM: 0043125
Informations de publication
Date de publication:
15 Apr 2020
15 Apr 2020
Historique:
received:
08
11
2019
revised:
14
01
2020
accepted:
19
01
2020
pubmed:
31
1
2020
medline:
31
1
2020
entrez:
31
1
2020
Statut:
ppublish
Résumé
Reduced graphene oxide (RGO) decorated with superparamagnetic iron oxide nanoparticles (SPION) is a novel composite nanomaterial with a myriad of promising applications. However, processes such as the fast and simple synthesis of non-agglomerated monodispersed SPION on RGO and the accurate characterization of particle size distributions remain challenging. Here we present how to solve these two problems. Firstly, we introduce a new microwave-assisted synthesis of stabilized SPION on RGO which is fast, simple and up-scalable but at the same time renders well dispersed SPION with narrow size distributions. The coverage of the RGO flakes with SPION is extensively tuned and the results are compared with a non-stabilized microwave-assisted method. Secondly, we implement an accurate method for the determination of particle size distributions from magnetization curves in RGO-SPION composite nanomaterials. This method is applied to the prepared composites with different particle size distributions, degrees of particle agglomeration and coverage of the RGO flakes. The influence of sample characteristics in the size determination method is discussed and the results are compared with the values obtained from transmission electron microscopy (TEM) and X-ray diffraction (XRD), showing that the method is well suited for these and potentially other types of superparamagnetic composite nanomaterials.
Identifiants
pubmed: 32000088
pii: S0021-9797(20)30086-2
doi: 10.1016/j.jcis.2020.01.072
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
107-119Informations de copyright
Copyright © 2020 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.