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The Electronic Nose:. A Multivariate Approach. The tasks of this report:. To inform on chemometrics studies in Voronezh To describe the results of one research project. Igor V. Aristov Department of Analytical Chemistry Voronezh State University. Tatyana A. Kuchmenko
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The Electronic Nose: A Multivariate Approach
The tasks of this report: • To inform on chemometrics studies in Voronezh • To describe the results of one research project
Igor V. Aristov Department of Analytical Chemistry Voronezh State University Tatyana A. Kuchmenko Department of Analytical Chemistry Voronezh State Technological Academy Authors:
Scientific interests • Analytical Chemistry • Electrochemistry • Separation methods • Applied Statistics
The Problem We want to distinguish vapors of chemical substances in air using a cross-selectivity multisensor detector
The “Electronic Nose” Unit for gas analysis with many cross-selectivity sensors.
Input GAS The “Electronic Nose”: a scheme
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 Electronic Nose with 14 cross-selectivity sensors
Aniline Benzol п- Methyl Aniline м- Methyl Aniline о-Methyl Aniline Vapor Print TM
Aniline Benzol м- Methyl Aniline п- Methyl Aniline о-Methyl Aniline Vapor Print TM
In The Nearest Future • Optimization of sensors number • Multivariate calibration