High-efficiency microarray of 3-D carbon MEMS electrodes for pathogen detection systems

Sam Kassegne*, Berhanu Wondimu, Mohammad Majzoub, Jiae Shin

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

11 Scopus citations


Molecular diagnostic applications for pathogen detections require the ability to separate pathogens such as bacteria, viruses, etc., from a biological sample of blood or saliva. Over the past several years, conventional two-dimensional active microarrays have been used with success for the manipulation of biomolecules including DNA. However, they have a major drawback of inability to process relatively 'largevolume' samples useful In infectious disease diagnostics applications. This paper presents an active microarray of three-dimensional carbon electrodes that exploits electrokinetic forces for transport, accumulation, and hybridization of charged bio-molecules with an added advantage of large volume capability. Tall 3-dimensional carbon microelectrode posts are fabricated using C-MEMS (Carbon MEMS) technology that is emerging as a very exciting research area since carbon has fascinating physical, chemical, mechanical and electrical properties In addition to its low cost. The chip fabricated using C-MEMS technology is packaged and Its efficiency of separation and accumulation of charged particle established by manipulating negatively charged polycarboxylate 2 μm beads in 50 mM histidine buffer.

Original languageEnglish (US)
Article number726615
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2008
Externally publishedYes
EventOptomechatronic Technologies 2008 - San Diego, CA, United States
Duration: Nov 17 2008Nov 19 2008


  • C-MEMS
  • Electrophoresis
  • Lab-on-a-chip
  • Microarray
  • Microelectrodes
  • Molecular diagnostics
  • Pathogen detection

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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