Details

Autor(en) / Beteiligte

• Nguyen, Huy
• Lagarde, Fabienne
• Louarn, Guy
• Daniel, Philippe

Titel

A new way to discriminate polluted wood by vibrational spectroscopies

Ist Teil von

• Talanta (Oxford), 2017-05, Vol.167, p.436-441

Ort / Verlag

Netherlands: Elsevier B.V

Erscheinungsjahr

2017

Quelle

Elsevier ScienceDirect Journals

Beschreibungen/Notizen

• 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. •Discrimination of different kinds of wood by vibrational spectroscopy and principal component analysis.•Quick detection of organic pollutants in wood items.•Discrimination of different concentrations and different kinds of organic pollutants in wood.