Chemically modified nanocrystalline SnO2-based materials for nitrogen-containing gases detection using gas sensor array

This study is devoted to creation of metal oxide semiconductor (MOS) materials for gas sensor array for determination of nitrogen oxides and ammonia traces in sub-Threshold Limit Value (TLV) concentrations in air, and to elaboration of data processing algorithms for identification and quantification of single gases. The array contained semiconductor sensors made from originally synthesized gas sensitive materials - chemically modified nanocrystalline SnO2. The modifiers were preliminarily chosen on the basis of an analysis of the target gas properties and experimental data obtained in the field of heterogeneous catalysis on the Platinum Group metals and d-metal oxides. A novel algorithm for data analysis of a semiconductor gas sensor array working in a dynamic temperature mode is used. The ability of the suggested algorithm, called EDMN+ (from Euclidian Distance Matrix Normalization), to solve the task of gases identification, and the ability of PLS (Projection to Latent Structures) algorithm combined with cross-validation approach to solve the task of gases quantification using a limited amount of data patterns available, are demonstrated.