Detecting the complex motion of self-propelled micromotors in microchannels by electrochemistry

Bahareh Khezri, James Guo Sheng Moo, Peng Song, Adrian C. Fisher, Martin Pumera

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Autonomous self-propelled nano/micromotors are new frontiers in micro- and nanotechnology, with a plethora of possible applications in environmental remediation and biomedicine. However, key challenges remain, one of which is the monitoring of motion in these self-propelled nano- and microdevices. Tracking of these miniaturized objects is typically done by optical microscopy. Such a manual methodology has several inherent challenges, ranging from demanding computational power for optical image analysis to following objects in opaque or non-transparent environments. Here we developed a monitoring system for an autonomous self-propelled micromotor in a microfluidic channel via the placement of electrodes in the pathways. The electrochemical detection methodology, based on the disturbances in the electrical double layer of an electrode surface in our devised instrumentation technique, allows for different modes of motion in micromotors in channel environments to be recognized. This ability to detect the motion of autonomous self-powered micromotors in opaque/non-transparent channels will find widespread applications in the future.

Original languageEnglish
Pages (from-to)99977-99982
Number of pages6
JournalRSC Advances
Volume6
Issue number102
DOIs
Publication statusPublished - 2016

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)

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