Tissue Classification based on Gas Analysis
Development of a detection system for tracing of volatile substances and utilization for tissue characterisation in selected applications. The basic approach is realized by utilizing pattern recognition methods in combination with a small number of sensor elements.
Data patterns are obtained by temperature cycling at semi-conducting metal oxide (MOX)-sensor elements and also by cyclic voltammetry at electrochemical cells. Thus, a large number of substances can be detected by a small number of sensors, which are comparably inexpensive.
One application is analysis of breathing gas as a non-invasive diagnostic method especially for diseases of the lung, e.g. lung cancer. In the framework of the project, respiration gas samples are planned to be collected from 1200 individuals and tested by trained sniffer dogs as well as by the developed sensor.