Linearisation In Multicomponent Analysis Based On A Hybrid Sensor-array With 19 Sensor Elements

We present experimental results obtained with a modular hybrid sensor-array for gas mixture analysis and for odour sensing. [1] Sensor elements are based on mass sensitive, electrochemical, field effect, and electrical transducers. Linearisation in such a complex setup is an essential feature of the subsequent multicomponent analysis. Three different methods are applied for this task. To characterize in a first simple example the different performances of these approaches, we analysed various mixtures of carbon monoxide (CO) and toluene (tol.) in air. Principal Component Regression (PCR) and Partial Least Squares (PLS) were used for the quantitative multicomponent analysis.