Issue 99, 2016, Issue in Progress

Facile synthesis of net-like Fe3O4/MWCNTs decorated by SnO2 nanoparticles as a highly efficient microwave absorber

Abstract

Net-like SnO2/Fe3O4/MWCNTs were prepared through a simple two-step hydrothermal process. The as-synthesized composites were characterized by X-ray diffraction, vibrating sample magnetometer, transmission electron microscopy (TEM), and vector network analyses. In the process of Fe3O4 ripening, Fe3O4 particles play a role of bridge to connect MWCNTs to form a real net-like structure. TEM images indicate that Fe3O4 microspheres have size ranging from 100 to 200 nm, which can be seen as a scaffold for binding MWCNTs. The electromagnetic parameter results show that SnO2 nanocrystals were introduced into the system for tuning the parameters of SnO2/Fe3O4/MWCNTs composites to improve impedance match and SnO2 nanocrystals can supply space charge and interfacial polarization. The SnO2/Fe3O4/MWCNTs composites exhibit highly efficient microwave absorption capacity within the tested frequency range (2–18 GHz). The optimal reflection loss of electromagnetic waves is −42.0 dB at 10.9 GHz with an absorber thickness of 1.9 mm. The composites are potential excellent microwave absorbers with a special net-like structure for synergistic interaction between Fe3O4 microspheres with MWCNTs and semiconductors for tuning of electromagnetic parameters. The fabricated SnO2/Fe3O4/MWCNTs composites are promising materials for high-performance microwave absorption and satisfy the highly efficient absorption capability, thin thickness, and light weight requirements for electromagnetic absorption.

Graphical abstract: Facile synthesis of net-like Fe3O4/MWCNTs decorated by SnO2 nanoparticles as a highly efficient microwave absorber

Article information

Article type
Paper
Submitted
22 Aug 2016
Accepted
04 Oct 2016
First published
04 Oct 2016

RSC Adv., 2016,6, 97142-97151

Facile synthesis of net-like Fe3O4/MWCNTs decorated by SnO2 nanoparticles as a highly efficient microwave absorber

L. Wang, H. Xing, Z. Liu, Z. Shen, X. Sun and G. Xu, RSC Adv., 2016, 6, 97142 DOI: 10.1039/C6RA21092A

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