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Issue 17, 2015
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Motion-based threat detection using microrods: experiments and numerical simulations

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Abstract

Motion-based chemical sensing using microscale particles has attracted considerable recent attention. In this paper, we report on new experiments and Brownian dynamics simulations that cast light on the dynamics of both passive and active microrods (gold wires and gold–platinum micromotors) in a silver ion gradient. We demonstrate that such microrods can be used for threat detection in the form of a silver ion source, allowing for the determination of both the location of the source and concentration of silver. This threat detection strategy relies on the diffusiophoretic motion of both passive and active microrods in the ionic gradient and on the speed acceleration of the Au–Pt micromotors in the presence of silver ions. A Langevin model describing the microrod dynamics and accounting for all of these effects is presented, and key model parameters are extracted from the experimental data, thereby providing a reliable estimate for the full spatiotemporal distribution of the silver ions in the vicinity of the source.

Graphical abstract: Motion-based threat detection using microrods: experiments and numerical simulations

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Publication details

The article was received on 21 Oct 2014, accepted on 23 Mar 2015 and first published on 30 Mar 2015


Article type: Paper
DOI: 10.1039/C4NR06208F
Author version available: Download Author version (PDF)
Citation: Nanoscale, 2015,7, 7833-7840
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    Motion-based threat detection using microrods: experiments and numerical simulations

    B. Ezhilan, W. Gao, A. Pei, I. Rozen, R. Dong, B. Jurado-Sanchez, J. Wang and D. Saintillan, Nanoscale, 2015, 7, 7833
    DOI: 10.1039/C4NR06208F

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