Stochastic frequency signature for chemical sensing using noninvasive neuronelectronic interface

Mo Yang, Xuan Zhang, Yu Zhang, Cengiz S. Ozkan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

The detection of chemical agents is important in many areas including environmental pollutants, toxins, biological and chemical pollutants. As "smart" cells, with strong information encoding ability, neurons can be treated as independent sensing elements. A hybrid circuit of a semiconductor chip with dissociated neurons formed both sensors and transducers. Stochastic frequency spectrum was used to differentiate a mixture of chemical agents with effect on the opening of different ion channels. The frequency of spike trains revealed the concentration of the chemical agent, where the characteristic tuning curve revealed the identity. "Fatigue" experiment was performed to explore the "refreshing" ability and "memory" effect of neurons by cyclic and cascaded sensing. "Nearonelectronic noses" such as this should have wide potential applications, most notably in environmental and medical monitoring.
Original languageEnglish
Pages (from-to)916-922
Number of pages7
JournalIEEE Transactions on Biomedical Engineering
Volume52
Issue number5
DOIs
Publication statusPublished - 1 May 2005
Externally publishedYes

Keywords

  • Dielectrophoresis (DEP)
  • Neuron-electrode junction
  • Stochastic frequency spectrum

ASJC Scopus subject areas

  • Biomedical Engineering

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