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Current trends in 'artificial-nose' technology

T A Dickinson1, J White, J S Kauer

  • 1Department of Chemistry, Tufts University, Medford, MA 02155, USA.

Trends in Biotechnology
|July 4, 1998
PubMed
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Biological olfaction principles enable broad-band chemical detection instruments. Future research aims for smaller, faster, and more reliable devices for diverse applications like bioprocess monitoring.

Area of Science:

  • Analytical Chemistry
  • Biotechnology
  • Sensor Technology

Background:

  • Inspired by biological olfaction, advanced chemical sensing instruments utilize semiselective sensor arrays and pattern recognition.
  • Current instruments offer broad-band chemical detection and quantification, serving industries like food, beverage, fragrance, environmental monitoring, and medical diagnostics.

Purpose of the Study:

  • To review the development and applications of chemical detection instrumentation based on biological olfaction principles.
  • To highlight ongoing research focused on creating next-generation instruments with improved performance characteristics.

Main Methods:

  • Application of biological olfaction principles, including sensor array combinations and pattern recognition algorithms.
  • Analysis of current commercial instrumentation and their industrial uses.

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  • Review of research trends towards developing advanced, miniaturized, and more robust chemical sensors.
  • Main Results:

    • Instrumentation capable of broad-band chemical detection and quantification has been successfully developed.
    • Existing instruments are widely applied in quality control, environmental monitoring, chemical analysis, and medical diagnostics.
    • Research is progressing towards smaller, cheaper, faster, more stable, and reliable second-generation instruments.

    Conclusions:

    • Chemical sensing technology derived from biological olfaction is a mature field with established applications.
    • Future advancements promise enhanced instrument performance and expanded utility, particularly in bioprocess monitoring.