Electronic Circuits Design for controlled exposure of Chemical Environments
Master thesis- Axis:
- Transition sociétale et technologique des entreprises
- Site :
- Lille
- Type:
- Master thesis
- Supervising person(s):
- Bilel HAFSI, Icam site de Lille and Sébastien Pecqueur, IEMN
Context :
Organic electronics has demonstrated its long-term application potential (eg: organic lightemitting diodes / Transistor/ sensors …) and also promotes more exploratory concepts like (neuromorphic / chemical sensors, solar / thermal / RF energy recovery). The mechanical / electrical / optical / biochemical versatility of these materials ensures interesting properties for specific platforms / systems / substrates, unlocking breakthrough innovations related to scientific concepts in artificial intelligence, biomedicine, internet-of-objects and in sustainable environment.
Project description :
In order to achieve an electronic characterization platform for the systematic study of organic micro-sensors networks (manufactured at the IEMN) exposed to different chemical atmospheres, the mission of this MSI internship is to design a system in charge of the exposure and the control of chemical environment of our devises. Using logic addressing circuits as well as actuators (micro-vacuum pumps) and sensors (differential pressure), the objective of the internship is to achieve a micro-controlled platform (from CAD design to PCB tests) that can monitor the exposure of a chemical detection system to different fractions of volatile organic compounds. The goal is to evaluate the evaluation of a new “organic electronic nose” technology for the complex environments analysis used in medical and environmental applications.
Electronic Circuits Design for Instant Detection of Chemical Environments
- required skills:
-
Electronic Design (Digital and Analog), Hydraulic Control (Actuator / Pressure Sensor), Prototyping / Electrical Tests (Eagle or other design tools), Computer Programming (Python or other if more suited to the mission) and Microcontroller (Arduino or other if more suited to the mission), Analysis of Data (PCA, SVD, ANN).