AirPOC
AI-assisted Point of Care Sensing for Exhaled Breath Analysis
PROJECT LANDSCAPE
Industry:
Area of Application:
Transfer Path:
Target Group:
Medical sector and further exploitation for end-user, Energy/Mobility, …
Point of Care diagnostics / electronic nose
Prototype à licensing, direct transfer
sensor integrators/users, medical device manufacturers
OUR SOLUTION
Our cutting-edge solution leverages an electrochemical sensor principle in a transistor configuration, featuring a surface-only semiconductor (CNT) with exceptional gas sensitivity down to the molecular scale (ppb proven for H2). This capability enables AI-driven real-time analysis that is both precise and reliable. Our sensors stand out with superior sensitivity, speed, and fabrication up to CMOS compatible system on chip scenarios.
Name:
Institution:
Department:
Simon Böttger, Sascha Hermann, Dirk Kuhlmeier, Walia Deevanshi
TU Chemnitz & Fraunhofer IZI
Center for Micro and Nano Technologies & Diagnostics Department
LET'S CONNECT AND CO-CREATE
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.