A new way to discriminate polluted wood by vibrational spectroscopies.
In this work, two sets of samples were considered: field samples collected from local waste wood and synthetic samples made by mixing clean wood (including oak, beech, poplar) with typical organic pollutants: creosote, polychlorinated byphenils (PCBs), pentachlorophenol (PCP), cypermethrin, dodecyl dimethyl ammonium chloride (DDAC). Vibrational spectroscopy techniques were tested to detect organic pollutants in wood items. Raman and infrared spectroscopies were showed as fast, non-destructive and non-invasive fingerprint techniques for detection of organic molecules. Associated with principal component analysis, we have shown the evidence of quick detection of and discrimination of polluted wood items by kinds and versus concentration.
Institut des Molécules et des Matériaux du Mans (IMMM) UMR CNRS 6283, Université du Maine, Av. O. Messiaen, 72085 Le Mans Cedex 9, France.
Huy
H
Nguyen
Institut des Molécules et des Matériaux du Mans (IMMM) UMR CNRS 6283, Université du Maine, Av. O. Messiaen, 72085 Le Mans Cedex 9, France.
Fabienne
F
Lagarde
Institut des Matériaux Jean Rouxel (IMN) - UMR CNRS 6502, Université de Nantes, 2 rue de la Houssinière, 44322 Nantes Cedex 3, France.
Guy
G
Louarn
Institut des Molécules et des Matériaux du Mans (IMMM) UMR CNRS 6283, Université du Maine, Av. O. Messiaen, 72085 Le Mans Cedex 9, France. Electronic address: philippe.daniel@univ-lemans.fr.
Philippe
P
Daniel
Infrared spectroscopy; Organic pollutants; Principal component analysis; Raman spectroscopy; Waste wood