Size-dependent microparticle filtration using magnetically driven microtool for producing gel-microtool

Benoît Chapurlat, Hisataka Maruyama, Yoko Yamanishi, Kyosuke Kotani, Fumihito Arai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this study, we successfully produced a functional microtool made of gel microbeads using size-dependent microparticle classification. Gel microbeads are made by salting-out hydrophilic photo-crosslinkable resin ENT-3400. These gel microbeads were separated according to their size using microfilters made of polydimethylsiloxane (PDMS). The first filter is a row of fluidic microchannels that block microbeads with a size greater than the channel's width. Another filtration method has been examined using a magnetically driven microtool (MMT) to separate the beads using the centrifugal force created by this MMT actuated with a DC motor. Separated gel microbeads were recovered after filtration and used to fabricate functional microtools, for example, a tether-shaped gel tool, by contact with other gel microbeads under UV illumination. The produced gel tool is manipulated using optical tweezers in a microchip. We successfully achieved size-dependent separation of gel microbeads and production of a tether-shaped gel tool.

Original languageEnglish
Title of host publication2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009
Pages4718-4723
Number of pages6
DOIs
Publication statusPublished - 2009 Dec 11
Event2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009 - St. Louis, MO, United States
Duration: 2009 Oct 112009 Oct 15

Publication series

Name2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009

Other

Other2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009
Country/TerritoryUnited States
CitySt. Louis, MO
Period09/10/1109/10/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Control and Systems Engineering

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