The Portable Electronic Nose PEN3 from Airsense Analytics (Schwerin, Germany) was selected as a representative example of current electronic nose technology. The PEN3 unit integrates ten different metal oxide sensors operating between 350 and 500 °C. Single-and multi-analyte mixtures were provided the same way as in the kinetic selectivity sensing experiments, except that dried air (dewpoint of -40°C) instead of nitrogen was used as a carrier gas to ensure optimal working conditions for the electronic nose. Before each measurement, purging was continued until a stable baseline was obtained for each sensing element. Dosing experiments involved consecutive concentration steps concentrations ranging from 0.2 to 209 ppm of the VOCs (15-200 ppm acetone, 1-209 ppm 1-propanol, 0.2-202 ppm 1-butanol, and 5-175 ppm n-hexane), and 5-50 %rH water. The electronic nose sampled the provided mixture at 40 ml/min. For each concentration step, an equilibration time of 15 minutes was allowed, followed by purging for at least 15 minutes to zero the response of the sensor elements. The measured data was processed using PLS_Toolbox (Eigenvector Research, Inc., Washington, USA) in a MATLAB environment (The MathWorks, Inc, Massachusetts, USA). The input data matrix comprised, for each of the measured 52 single-analyte samples, the responses of each of the 10 sensors as variables. As a preprocessing step, the data was mean-centered for each sensor. Venetian blinds cross-validation with a 10/90 data split was employed. The principal component analysis (PCA) model included three principal components, capturing 47.24 %, 32.61 %, and 12.44 % of the variance in the original dataset, respectively. Based on this model, 95 % confidence intervals were determined and indicated as ellipses on the scores plot.