Artificial cilia of magnetically tagged polymer nanowires for biomimetic mechanosensing

P Schroeder; J Schotter; A Shoshi; M Eggeling; O Bethge; A Hütten; H Brückl

doi:10.1088/1748-3182/6/4/046007

Artificial cilia of magnetically tagged polymer nanowires for biomimetic mechanosensing

P Schroeder, J Schotter, A Shoshi, M Eggeling, O Bethge, A Hütten, H Brückl

Research output: Contribution to journal › Article › peer-review

Abstract

Polymeric nanowires of polypyrrole have been implemented as artificial cilia on giant-magneto-resistive multilayer sensors for a biomimetic sensing approach. The arrays were tagged with a magnetic material, the stray field of which changes relative to the underlying sensor as a consequence of mechanical stimuli which are delivered by a piezoactuator. The principle resembles balance sensing in mammals. Measurements of the sensor output voltage suggest a proof of concept at frequencies of around 190 kHz and a tag thickness of ∼300 nm. Characterization was performed by scanning electron microscopy and magnetic force microscopy. Micromagnetic and finite-element simulations were conducted to assess basic sensing aspects.

Original language	English
Pages (from-to)	046007
Journal	Bioinspiration and Biomimetics
Volume	6
Issue number	4
DOIs	https://doi.org/10.1088/1748-3182/6/4/046007
Publication status	Published - 1 Dec 2011
Externally published	Yes

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title = "Artificial cilia of magnetically tagged polymer nanowires for biomimetic mechanosensing",

abstract = "Polymeric nanowires of polypyrrole have been implemented as artificial cilia on giant-magneto-resistive multilayer sensors for a biomimetic sensing approach. The arrays were tagged with a magnetic material, the stray field of which changes relative to the underlying sensor as a consequence of mechanical stimuli which are delivered by a piezoactuator. The principle resembles balance sensing in mammals. Measurements of the sensor output voltage suggest a proof of concept at frequencies of around 190 kHz and a tag thickness of ∼300 nm. Characterization was performed by scanning electron microscopy and magnetic force microscopy. Micromagnetic and finite-element simulations were conducted to assess basic sensing aspects.",

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AU - Schroeder, P

AU - Schotter, J

AU - Shoshi, A

AU - Eggeling, M

AU - Bethge, O

AU - Hütten, A

AU - Brückl, H

PY - 2011/12/1

Y1 - 2011/12/1

N2 - Polymeric nanowires of polypyrrole have been implemented as artificial cilia on giant-magneto-resistive multilayer sensors for a biomimetic sensing approach. The arrays were tagged with a magnetic material, the stray field of which changes relative to the underlying sensor as a consequence of mechanical stimuli which are delivered by a piezoactuator. The principle resembles balance sensing in mammals. Measurements of the sensor output voltage suggest a proof of concept at frequencies of around 190 kHz and a tag thickness of ∼300 nm. Characterization was performed by scanning electron microscopy and magnetic force microscopy. Micromagnetic and finite-element simulations were conducted to assess basic sensing aspects.

AB - Polymeric nanowires of polypyrrole have been implemented as artificial cilia on giant-magneto-resistive multilayer sensors for a biomimetic sensing approach. The arrays were tagged with a magnetic material, the stray field of which changes relative to the underlying sensor as a consequence of mechanical stimuli which are delivered by a piezoactuator. The principle resembles balance sensing in mammals. Measurements of the sensor output voltage suggest a proof of concept at frequencies of around 190 kHz and a tag thickness of ∼300 nm. Characterization was performed by scanning electron microscopy and magnetic force microscopy. Micromagnetic and finite-element simulations were conducted to assess basic sensing aspects.

U2 - 10.1088/1748-3182/6/4/046007

DO - 10.1088/1748-3182/6/4/046007

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JO - Bioinspiration and Biomimetics

JF - Bioinspiration and Biomimetics

IS - 4

ER -

Artificial cilia of magnetically tagged polymer nanowires for biomimetic mechanosensing

Abstract

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