Issue 32, 2024

Microstructure-dependent particulate filtration using multifunctional metallic nanowire foams

Abstract

The COVID-19 pandemic has shown the urgent need for the development of efficient, durable, reusable and recyclable filtration media for the deep-submicron size range. Here we demonstrate a multifunctional filtration platform using porous metallic nanowire foams that are efficient, robust, antimicrobial, and reusable, with the potential to further guard against multiple hazards. We have investigated the foam microstructures, detailing how the growth parameters influence the overall surface area and characteristic feature size, as well as the effects of the microstructures on the filtration performance. Nanogranules deposited on the nanowires during electrodeposition are found to greatly increase the surface area, up to 20 m2 g−1. Surprisingly, in the high surface area regime, the overall surface area gained from the nanogranules has little correlation with the improvement in capture efficiency. However, nanowire density and diameter play a significant role in the capture efficiency of PM0.3 particles, as do the surface roughness of the nanowire fibers and their characteristic feature sizes. Antimicrobial tests on the Cu foams show a >99.9995% inactivation efficiency after contacting the foams for 30 seconds. These results demonstrate promising directions to achieve a highly efficient multifunctional filtration platform with optimized microstructures.

Graphical abstract: Microstructure-dependent particulate filtration using multifunctional metallic nanowire foams

Supplementary files

Article information

Article type
Communication
Submitted
08 Jun 2024
Accepted
13 Jul 2024
First published
17 Jul 2024
This article is Open Access
Creative Commons BY license

Nanoscale, 2024,16, 15094-15103

Microstructure-dependent particulate filtration using multifunctional metallic nanowire foams

J. Malloy, E. Marlowe, C. J. Jensen, I. S. Liu, T. Hulse, A. F. Murray, D. Bryan, T. G. Denes, D. A. Gilbert, G. Yin and K. Liu, Nanoscale, 2024, 16, 15094 DOI: 10.1039/D4NR02368D

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