Issue 17, 2025

Microscopic morphology modulation and microwave absorption properties of nano-ZnO

Abstract

Electromagnetic waves can cause varying degrees of damage to the human body and equipment, making the development of unique nanostructured materials with excellent reflection loss (RL), minimal thickness, wide frequency band, and light weight highly valued. To enhance the efficiency of microwave absorption, this study employs the hydrothermal method, using copper sheets as substrates, and varying the concentration of precursors, reaction time, and reaction temperature, successfully preparing three different morphologies of nano-ZnO (flake-like, flower-like, and rod-like). The electromagnetic properties and wave absorption performance of the obtained three morphologies were analyzed. The microwave loss effect of ZnO mainly comes from the sample's dielectric polarization, interfacial polarization, and multiple reflections. By comparing the different morphologies of ZnO, rod-like ZnO has better impedance matching and attenuation capabilities. When mixed with paraffin at a mass ratio of 20 wt% and a thickness of d = 3.5 mm, the sample exhibits good wave absorption performance (−11.02 dB) and an effective absorption bandwidth of 2.42 GHz. When rod-like ZnO is mixed with paraffin wax at 50 wt%, the maximum scattering loss is −19.2 dB and the effective absorption bandwidth is 1.5 GHz at a thickness of 4.5 mm and 16.82 GHz. There are significant differences in the absorption of electromagnetic waves by nano-ZnO with different microstructures, making it particularly important to study the absorption characteristics and microwave loss mechanisms of ZnO with specific morphologies.

Graphical abstract: Microscopic morphology modulation and microwave absorption properties of nano-ZnO

Article information

Article type
Paper
Submitted
29 Dec 2024
Accepted
25 Mar 2025
First published
09 Apr 2025

Nanoscale, 2025,17, 10969-10984

Microscopic morphology modulation and microwave absorption properties of nano-ZnO

J. Chen, Z. Guo, J. Wang and X. Zhang, Nanoscale, 2025, 17, 10969 DOI: 10.1039/D4NR05469E

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