The search for new technologies that ensure uniformity of product quality has become constant. The objective of this work was to study the potential of spectroscopic measurements combined with statistical tools for sorting sheets of wood of Pinus spp. contaminated by staining fungi. Samples were collected in the industrial process and it was found that some blades were contaminated by fungus staining. Thus, this material was used to investigate its influence on blue stain and spectroscopic methods and the possibility of discrimination by such contamination. Spectra at 400-1000 m range were captured from this contaminated material. By using these data, it was performed an exploratory analysis by Principal Components (PCA) and classification via SIMCA, where discrimination was found effective in healthy and diseased wood. It is observed that the use of optical spectroscopy fulfills the requirements for possible use in classifying blades in the production process.
Optical spectroscopy; Principal Component Analysis; SIMCA
