Burlachenko Y. Multicomponent chemical mixtures recognition by sensor arrays based on organic photosensitive materials (phthalocyanines)

This thesis deals with investigation of the adsorption-desorption processes on a surface of phthalocyanines under illumination with the aim of development of the method for multicomponent mixtures with dominant components recognition. The illumination has an influence on the character of different analytes adsorption on the phthalocyanine surface and causes significant decrease of the surfaces adsorption capacity towards ethanol and water, change of adsorption kinetics and increase of the reproducibility of measurements. With the aim of comparison of the classification effectiveness of the array in different conditions the new method for the uniqueness of the experimental data evaluation was developed. Using the proporsed approach 5 analytes (ethanol, triethylamine, propylamine, mixtures ethanol-triethylamine and ethanol-propylamine) where successfully classified. This was impossible using the data from the same array but without illumination. In such a way the use of illumination in certain spectral regions allows to increase the uniqueness of sensors arrays data and to expand the area of their application. The thesis considers the mechanisms of the illumination influence on the adsorption-desorption processes on the phthalocyanines surface as well.