Catalysis‐Driven Self‐Thermophoresis of Janus Plasmonic Nanomotors

It is highly demanding to design active nanomotors that can move in response to specific signals with controllable rate and direction. A catalysis‐driven nanomotor was constructed by designing catalytically and plasmonically active Janus gold nanoparticles (Au NPs), which generate an asymmetric temp...

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Bibliographic Details
Published in:Angewandte Chemie 2017-01, Vol.129 (2), p.530-533
Main Authors: Qin, Weiwei, Peng, Tianhuan, Gao, Yanjing, Wang, Fei, Hu, Xiaocai, Wang, Kun, Shi, Jiye, Li, Di, Ren, Jicun, Fan, Chunhai
Format: Article
Language:English
Subjects:
Asymmetry
Catalysis
Chemical reactions
Chemistry
Diffusion coefficient
Gold
Janus-Nanopartikel
Mathematical models
Monitoring
Nanomotoren
Nanoparticles
Nanostructure
Organic chemistry
Plasmonen
Plasmonics
Stochastic models
Stochasticity
Temperature gradients
Thermophorese
Thermophoresis
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Summary:It is highly demanding to design active nanomotors that can move in response to specific signals with controllable rate and direction. A catalysis‐driven nanomotor was constructed by designing catalytically and plasmonically active Janus gold nanoparticles (Au NPs), which generate an asymmetric temperature gradient of local solvent surrounding NPs in catalytic reactions. The self‐thermophoresis behavior of the Janus nanomotor is monitored from its inherent plasmonic response. The diffusion coefficient of the self‐thermophoresis motion is linearly dependent on chemical reaction rate, as described by a stochastic model. Thermophorese liegt dem Bewegungsmechanimus eines auf einer chemischen Reaktion basierenden, selbstangetriebenen plasmonischen Janus‐Nanomotors zugrunde. Ein stochastisches Modell wurde entwickelt, um die Beziehung zwischen den Diffusionskoeffizienten der selbstthermophoretischen Bewegung und der Geschwindigkeit der chemischen Reaktion zu beschreiben.
ISSN:0044-8249
1521-3757
DOI:10.1002/ange.201609121