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Proceedings Paper

Catalytic nanomotors: challenges and opportunities
Author(s): John Gibbs; Yiping Zhao
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Paper Abstract

The fabrication of integrated nanomachinary systems can enable break-through applications in nanoelectronics, photonics, bioengineering, and drug delivery or disease treatment. Naturally occurring nanomotors are biological motor proteins powered by catalytic reactions, which convert the chemical energy from the environment into mechanical energy directly. It has been demonstrated recently that using a simple catalytic reaction and an asymmetric bimetallic nanorod, one can produce catalytic nanomotors that mimic the autonomous motions of bionanomotors. Yet the construction of artificial nanomachines remains a major contemporary challenge due to the lack of a flexible fabrication technique that can design the desired dynamic components. We use a design technique called dynamic shadowing growth that allows for the fabrication of a wide range of various geometries and the asymmetric placement of the catalyst is easily accomplished as well which is necessary for directed propulsion. Programming nanomotor behavior is possible through geometrically-focused design and by incorporating different materials into the nanomotor structure is a simple process as well. A propulsion mechanism based upon bubble ejection from the catalyst surface is introduced to explain the driving force, and the comparison of this driving mechanism with the self-electrophoresis mechanism is also studied. We have also successfully incorporated multiple parts to form complex nanomotor assemblies which exhibit motions not observed from individual parts by using magnetic interactions.

Paper Details

Date Published: 3 June 2011
PDF: 9 pages
Proc. SPIE 8058, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX, 80580O (3 June 2011); doi: 10.1117/12.887526
Show Author Affiliations
John Gibbs, Univ. of Georgia (United States)
Yiping Zhao, Univ. of Georgia (United States)

Published in SPIE Proceedings Vol. 8058:
Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX
Harold Szu, Editor(s)

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