A new way to discriminate polluted wood by vibrational spectroscopies
Huy Nguyen1, Fabienne Lagarde1, Guy Louarn2
1Institut des Molécules et des Matériaux du Mans (IMMM) UMR CNRS 6283, Université du Maine, Av. O. Messiaen, 72085 Le Mans Cedex 9, France.
Abstract:
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.
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