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07/06/2023

Keywords : Electronics, nanotechnology, 3D Modelisation, prototyping, microfluidic, IoT, datas

Acoustic and resistive Technology based Organic materials: toward Multi-sensors platform for Environment monitoring

Electronic E-NOSE

Electrochemical sensors

High precision impedance system

Organic materials

LED status display

Graphical interface

Microship Control Panel

Configuration

Context :

E-NOSE application:

Clustering algorithm :

Reduction of the number of variables according to different methods (LDA, PCA, ICA, ISO)
Visualization of clusters

Correlation matrix

Impedances relative variations

2D and 3D Linear Discriminant Analysis (LDA)

Multivariate gas detection platform with an array of resistive sensors.
Detection of harmful gases and molecules in the environment
Develop an automated data pre-processing module
In the future, develop a gas identification algorithm from the pre-processed sensor data.

Graphical interface

Special thanks to our sponsor:

�Contacts

Bilel HAFSI, Associate Professor, bilel.hafsi@icam.fr / bilel.hafsi@iemn.fr

Sébastien PECQUEUR, CNRS researcher, sebastien.pecqueur@iemn.fr

Louis ROUTIER, PhD student, louis.routier@icam.fr

Gaël LOUIS, ICAM Student, gael.louis@2023.icam.fr

Marie DELARUE, ICAM Student, marie.delarue@2023.icam.fr