[en] The historic emissions of polar micropollutants in a natural drinking water source were investigated by nontarget screening with high-resolution mass spectrometry and open cheminformatics tools. The study area consisted of a riverbank filtration transect fed by the river Lek, a branch of the lower Rhine, and exhibiting up to 60-year travel time. More than 18,000 profiles were detected. Hierarchical clustering revealed that 43% of the 15 most populated clusters were characterized by intensity trends with maxima in the 1990s, reflecting intensified human activities, wastewater treatment plant upgrades and regulation in the Rhine riparian countries. Tentative structure annotation was performed using automated in silico fragmentation. Candidate structures retrieved from ChemSpider were scored based on the fit of the in silico fragments to the experimental tandem mass spectra, similarity to openly accessible accurate mass spectra, associated metadata, and presence in a suspect list. Sixty-seven unique structures (72 over both ionization modes) were tentatively identified, 25 of which were confirmed and included contaminants so far unknown to occur in bank filtrate or in natural waters at all, such as tetramethylsulfamide. This study demonstrates that many classes of hydrophilic organics enter riverbank filtration systems, persisting and migrating for decades if biogeochemical conditions are stable.
Disciplines :
Physique, chimie, mathématiques & sciences de la terre: Multidisciplinaire, généralités & autres
Auteur, co-auteur :
Albergamo, Vittorio
Schollée, Jennifer E.
SCHYMANSKI, Emma ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Helmus, Rick
Timmer, Harrie
Hollender, Juliane
de Voogt, Pim
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Non-target screening reveals time trends of polar micropollutants in a riverbank filtration system
Date de publication/diffusion :
2019
Titre du périodique :
Environmental Science and Technology
ISSN :
0013-936X
eISSN :
1520-5851
Maison d'édition :
American Chemical Society
Volume/Tome :
53
Fascicule/Saison :
13
Pagination :
7584-7594
Peer reviewed :
Peer reviewed vérifié par ORBi
Focus Area :
Systems Biomedicine
Projet FnR :
FNR12341006 - Environmental Cheminformatics To Identify Unknown Chemicals And Their Effects, 2018 (01/10/2018-30/09/2023) - Emma Schymanski