Nguyen, H., Lagarde, F., Louarn, G. & Daniel, P. (2017) A new way to discriminate polluted wood by vibrational spectroscopies. Talanta, 167 436–441.
Added by: Richard Baschera (2017-06-02 14:17:18) Last edited by: Richard Baschera (2017-06-02 14:18:43)
|Type de référence: Article
Numéro d'identification (ISBN etc.): 0039-9140
Clé BibTeX: Nguyen2017
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Mots-clés: ccb-treated wood, creosote, gas-chromatography, infrared spectroscopy, Organic pollutants, pcb, preservatives, principal component analysis, pyrolysis process, Raman spectroscopy, reduction, sediments, slow pyrolysis, waste, Waste wood
Créateurs: Daniel, Lagarde, Louarn, Nguyen
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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.