Construction of microscale structures in enclosed microfluidic networks by using a magnetic beads based method

Anal Chim Acta. 2013 Aug 20:792:66-71. doi: 10.1016/j.aca.2013.07.009. Epub 2013 Jul 9.

Abstract

A large number of microscale structures have been used to elaborate flowing control or complex biological and chemical reaction on microfluidic chips. However, it is still inconvenient to fabricate microstructures with different heights (or depths) on the same substrate. These kinds of microstructures can be fabricated by using the photolithography and wet-etching method step by step, but involves time-consuming design and fabrication process, as well as complicated alignment of different masters. In addition, few existing methods can be used to perform fabrication within enclosed microfluidic networks. It is also difficult to change or remove existing microstructures within these networks. In this study, a magnetic-beads-based approach is presented to build microstructures in enclosed microfluidic networks. Electromagnetic field generated by microfabricated conducting wires (coils) is used to manipulate and trap magnetic beads on the bottom surface of a microchannel. These trapped beads are accumulated to form a microscale pile with desired shape, which can adjust liquid flow, dock cells, modify surface, and do some other things as those fabricated microstructures. Once the electromagnetic field is changed, trapped beads may form new shapes or be removed by a liquid flow. Besides being used in microfabrication, this magnetic-beads-based method can be used for novel microfluidic manipulation. It has been validated by forming microscale dam structure for cell docking and modified surface for cell patterning, as well as guiding the growth of neurons.

Keywords: Cell patterning; Magnetic beads; Microfabrication; Microfluidic.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Absorption
  • Erythrocytes / chemistry
  • Humans
  • Magnetics*
  • Microfluidics*
  • Microtechnology / methods*
  • Neurons / chemistry
  • Surface Properties