title: Quantification of fossil organic matter in contaminated sediments from an industrial watershed: validation of the quantitative multimolecular approach by radiocarbon analysis.
abstract: The quantitative multimolecular approach (QMA) based on an exhaustive identification and quantification of molecules from the extractable organic matter (EOM) has been recently developed in order to investigate organic contamination in sediments by a more complete method than the restrictive quantification of target contaminants. Such an approach allows (i) the comparison between natural and anthropogenic inputs, (ii) between modern and fossil organic matter and (iii) the differentiation between several anthropogenic sources. However QMA is based on the quantification of molecules recovered by organic solvent and then analyzed by gas chromatography-mass spectrometry, which represent a small fraction of sedimentary organic matter (SOM). In order to extend the conclusions of QMA to SOM, radiocarbon analyses have been performed on organic extracts and decarbonated sediments. This analysis allows (i) the differentiation between modern biomass (contemporary (14)C) and fossil organic matter ((14)C-free) and (ii) the calculation of the modern carbon percentage (PMC). At the confluence between Fensch and Moselle Rivers, a catchment highly contaminated by both industrial activities and urbanization, PMC values in decarbonated sediments are well correlated with the percentage of natural molecular markers determined by QMA. It highlights that, for this type of contamination by fossil organic matter inputs, the conclusions of QMA can be scaled up to SOM. QMA is an efficient environmental diagnostic tool that leads to a more realistic quantification of fossil organic matter in sediments.
authors.affiliation: G2R UMR 7566, Nancy-Université, CNRS, BP 239, 54506, Vandoeuvre-les-Nancy, France. laurent.jeanneau@univ-rennes1.fr
authors.forename: Laurent
authors.initials: L
authors.lastname: Jeanneau
authors.forename: Pierre
authors.initials: P
authors.lastname: Faure
mesh_terms: D002250:Carbon Radioisotopes / Q000032:analysis / Q000737:chemistry; D004784:Environmental Monitoring / Q000379:methods*; D005579:Fossil Fuels / Q000032:analysis*; D019015:Geologic Sediments / Q000737:chemistry*; D055110:Radiometric Dating; D014874:Water Pollutants, Chemical / Q000032:analysis* / Q000737:chemistry
chemical_list: D002250:Carbon Radioisotopes; D005579:Fossil Fuels; D014874:Water Pollutants, Chemical