- After the event
Professor in the Department Systems Engineering at Saarland University
Andreas Schütze studied physics at RWTH Aachen and received his doctorate in Applied Physics from Justus-Liebig-Universität in Gießen in 1994 with a thesis on micro gas sensor systems. After some years in industry, he was professor for Microsystem Technology at the University of Applied Sciences in Krefeld, Germany, from 1998 to 2000.
Since 2000 he is a full professor in the Department Systems Engineering at Saarland University, Saarbrücken, Germany. His research interests include microsensors and microsystems, especially advanced chemical sensor systems, both for gas and liquid phase, for environmental monitoring, security and control applications. He has coordinated several national and European collaborative research projects, most recently the project SENSIndoor (Nanotechnology-based intelligent multi-SENsor System with selective pre-concentration for Indoor air quality control). He is chairman of the science board of the AMA Association for Sensors and Measurement and member of IEEE and VDE. He is member of the steering committee of ESSC, the European Sensor-Systems Cluster, and one of the authors of the ESSC roadmap ´Towards European Leadership in Sensor Systems`.
Abstract Title: Electromechanical and fluidic systems at nano-scale
Using passive fluidics to improve chemical micro-nano-sensor systems – the SENSIndoor approach
Abstract: Analytical systems use sampling and pre-concentration to achieve low limits of detection. The talk presents a novel approach for integrated gas sensor systems with unrivalled sensitivity and selectivity. The approach is based on two nano-technology layers integrated in one microsystem capturing target molecules on one micro hotplate – coated with a metal organic framework (MOF) layer – and releasing them thermally to be detected by a metal oxide gas sensor – coated by pulsed laser deposition (PLD). Gas transport within the microsystem is based on diffusion only achieving a tiny, low cost system. The primary target application of this approach is Indoor Air Quality (IAQ) where hazardous volatile organic compounds (VOCs) like benzene or formaldehyde need to be detected at ppb or even sub-ppb levels. The approach developed within the FP7 SENSIndoor project has achieved a quantification accuracy down to 100 ppt, depending on ambient conditions. The novel sensor systems pave the way for ubiqui-tous IAQ sensors allowing demand controlled ventilation in green buildings. Future applications to be addressed are in the fields of safety and security, i.e. fire detection or early warning against terrorist attacks, as well as medical screening and diagnosis, i.e. exhaled breath analysis for cancer screening.