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Manipulating the Motion of Gold Aggregates Using Stimulus-Responsive Patterned Polymer Brushes as a Motor

  1. Tao Chen1,*,
  2. Debby P. Chang2,†,
  3. Jianming Zhang2,
  4. Rainer Jordan1,*,
  5. Stefan Zauscher2,*

Article first published online: 24 OCT 2011

DOI: 10.1002/adfm.201101795

Issue

Advanced Functional Materials

Advanced Functional Materials

Volume 22, Issue 2, pages 429–434, January 25, 2012

Additional Information

How to Cite

Chen, T., Chang, D. P., Zhang, J., Jordan, R. and Zauscher, S. (2012), Manipulating the Motion of Gold Aggregates Using Stimulus-Responsive Patterned Polymer Brushes as a Motor. Adv. Funct. Mater., 22: 429–434. doi: 10.1002/adfm.201101795

Author Information

  1. 1

    Department of Chemistry, Technische Universität Dresden, Dresden, 01069, Germany

  2. 2

    Center for Biologically Inspired Materials and Materials Systems, and Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA

  1. †

    Department of Physical Chemistry 1, Lund University, SE-22100 Lund, Sweden

*Department of Chemistry, Technische Universität Dresden, Dresden, 01069, Germany

Publication History

  1. Issue published online: 19 JAN 2012
  2. Article first published online: 24 OCT 2011
  3. Manuscript Received: 3 AUG 2011

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Keywords:

  • surface-initiated polymerization;
  • motor arrays;
  • nanoparticles;
  • sensors;
  • microchemomechanical systems

Abstract

An important goal and major challenge of material science and nanotechnology is building nanomotors for manipulating the motion of nanoparticles (NPs). Here, it is demonstrated that patterned, stimulus-responsive polymer brush microstructures can be used as motor arrays to manipulate the movement of gold NP aggregates in response to external stimuli that induce a conformational change in the brushes as the driving force. The motion of NP aggregates in the out-of-plane direction is achieved with displacements ranging from nanometers to sub-micrometers. These patterned polymer-brush microstructures can find applications as efficient motor arrays and nanosensors, and benefit the design of more complex nanodevices.

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