title: Discrimination of coatings on wooden materials using the gas sensor system.
abstract: The applicability of sensor system for the discrimination of sources of indoor pollution was investigated. As examples of indoor pollution sources, paint and lacquer coatings were considered. Commercially available preparations: Akrylux, Doamlux, Bejca and White Scandinavian were selected for headspace measurements using TGS sensor array. Following issues were investigated: (1) discrimination between water- and solvent-based coatings, (2) discrimination between one component coatings, and (3) discrimination between one component and two component coatings. Following data analysis methods were used: principal component analysis (PCA), linear discriminant analysis (LDA) and probabilistic neural network (PNN). Results showed that coatings could be discriminated successfully, provided the surface covered was solid wood (0-1.8% error). The interference of fibreboard volatiles in sensor measurements of coatings was most likely encountered. It could have significantly impaired discrimination of coatings on fibreboard (2.8-5.6% error) as compared to wood. Worst results were obtained for the discrimination of coatings on unknown material(12.5-28.7% error).
authors.affiliation: Ecologistics and Atmosphere Protection Group, Institute of Environmental Protection Engineering, Wroclaw University of Technology, Pl. Grunwaldzki 9, 50-377 Wroclaw, Poland.
authors.forename: M
authors.initials: M
authors.lastname: Maciejewska
authors.forename: K
authors.initials: K
authors.lastname: Kolodziejczak
authors.forename: A
authors.initials: A
authors.lastname: Szczurek