electronic nose full report

[seminar class]

PRESENTED BY:
Igor V. Aristov

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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
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.
The “Electronic Nose”: a scheme
Experimental equipment
Scheme of Analytical Information
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
Vapor Print TM
Vapor Print TM
Discriminant Analysis
Discriminant Analysis
Classification
Scheffe test (t0.5)
Scheffe test (DF)
Scheffe test (a)
In The Nearest Future
Optimization of sensors number
Multivariate calibration