AirPOC
AI-assisted Point of Care Sensing for Exhaled Breath Analysis
THE CHALLENGE
We harnesses highly integrated and miniaturized nanosensors for the multispectral gas analysis of VOCs and their real-time evaluation towards point of care diagnostics. The spectral analysis of exhaled breath will become increasingly crucial for real-time monitoring of health status, diagnosing chronic diseases, and tracking our metabolism. Crucial limiting exploitation hurdles such as cross-sensitivity, flexible integration and universal interfaces are addressed by our solution.
OUR SOLUTION
- CMOS compatible 200 mm 1D Semiconductor process
- Additive electronic-grade semiconducting CNTs
- Wafer-level cost/resource efficient sensor fabrication
- Customizable functionalization (particle, polymer,…)
- ppm detection limit (proven for H2)
- Advanced packaging solutions
- Monolithic integration (e.g. SoC, interposer)
PROJECT LANDSCAPE
Industry: Industry (Safety), Health Sector, Energy/Mobility
Area of Application: Point of Care Diagnostics
Transfer Path: Test Kit à Validation by Customer, Direct Transfer (e.g. SoC Integration)
Target Group: Sensor Manufacturers/Integrators/Users, Medical Device Manufactures
Name: Dr. Simon Böttger, Dr. Sascha Hermann, Tobias Iffland
Institution: Chemnitz University of Technology
Department: Center for Micro and Nano Technologies
LET'S CONNECT AND CO-CREATE
