The Electronic Nose:

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The Electronic Nose

• A Multivariate Approach

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The tasks of this report

• To inform on chemometrics studies in Voronezh
• To describe the results of one research project

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Authors

• Igor V. Aristov
• Department of Analytical Chemistry
• Voronezh State University

• Tatyana A. Kuchmenko
• Department of Analytical Chemistry
• Voronezh State Technological Academy

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Scientific interests

• Analytical Chemistry
• Electrochemistry
• Separation methods
• Applied Statistics

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The Problem

• We want to distinguish vapors of chemical
  substances in air using a cross-selectivity
  multisensor detector

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The Electronic Nose

• Unit for gas analysis with many cross-selectivity
  sensors.

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The Electronic Nose a scheme
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Experimental equipment
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Scheme of Analytical Information
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Electronic Nose with 14 cross-selectivity sensors

• Sorbates
• Benzol
• Aniline
• o-Methyl Aniline
• m-Methyl Aniline
• p-Methyl Aniline

• Analytical signals
• DF frequency difference
• a capacity
• t0.5 time of half sorption

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Vapor Print TM
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Vapor Print TM
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Discriminant Analysis
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Discriminant Analysis
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Classification
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Scheffe test (t0.5)
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Scheffe test (DF)
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Scheffe test (a)
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In The Nearest Future

• Optimization of sensors number
• Multivariate calibration

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The End