Cargando…

Nontarget Screening Reveals Time Trends of Polar Micropollutants in a Riverbank Filtration System

[Image: see text] 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 bra...

Descripción completa

Detalles Bibliográficos
Autores principales: Albergamo, Vittorio, Schollée, Jennifer E., Schymanski, Emma L., Helmus, Rick, Timmer, Harrie, Hollender, Juliane, de Voogt, Pim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2019
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610556/
https://www.ncbi.nlm.nih.gov/pubmed/31244084
http://dx.doi.org/10.1021/acs.est.9b01750
_version_ 1783432533320400896
author Albergamo, Vittorio
Schollée, Jennifer E.
Schymanski, Emma L.
Helmus, Rick
Timmer, Harrie
Hollender, Juliane
de Voogt, Pim
author_facet Albergamo, Vittorio
Schollée, Jennifer E.
Schymanski, Emma L.
Helmus, Rick
Timmer, Harrie
Hollender, Juliane
de Voogt, Pim
author_sort Albergamo, Vittorio
collection PubMed
description [Image: see text] 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.
format Online
Article
Text
id pubmed-6610556
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher American Chemical Society
record_format MEDLINE/PubMed
spelling pubmed-66105562019-07-09 Nontarget Screening Reveals Time Trends of Polar Micropollutants in a Riverbank Filtration System Albergamo, Vittorio Schollée, Jennifer E. Schymanski, Emma L. Helmus, Rick Timmer, Harrie Hollender, Juliane de Voogt, Pim Environ Sci Technol [Image: see text] 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. American Chemical Society 2019-06-04 2019-07-02 /pmc/articles/PMC6610556/ /pubmed/31244084 http://dx.doi.org/10.1021/acs.est.9b01750 Text en Copyright © 2019 American Chemical Society This is an open access article published under a Creative Commons Non-Commercial No Derivative Works (CC-BY-NC-ND) Attribution License (http://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html) , which permits copying and redistribution of the article, and creation of adaptations, all for non-commercial purposes.
spellingShingle Albergamo, Vittorio
Schollée, Jennifer E.
Schymanski, Emma L.
Helmus, Rick
Timmer, Harrie
Hollender, Juliane
de Voogt, Pim
Nontarget Screening Reveals Time Trends of Polar Micropollutants in a Riverbank Filtration System
title Nontarget Screening Reveals Time Trends of Polar Micropollutants in a Riverbank Filtration System
title_full Nontarget Screening Reveals Time Trends of Polar Micropollutants in a Riverbank Filtration System
title_fullStr Nontarget Screening Reveals Time Trends of Polar Micropollutants in a Riverbank Filtration System
title_full_unstemmed Nontarget Screening Reveals Time Trends of Polar Micropollutants in a Riverbank Filtration System
title_short Nontarget Screening Reveals Time Trends of Polar Micropollutants in a Riverbank Filtration System
title_sort nontarget screening reveals time trends of polar micropollutants in a riverbank filtration system
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610556/
https://www.ncbi.nlm.nih.gov/pubmed/31244084
http://dx.doi.org/10.1021/acs.est.9b01750
work_keys_str_mv AT albergamovittorio nontargetscreeningrevealstimetrendsofpolarmicropollutantsinariverbankfiltrationsystem
AT scholleejennifere nontargetscreeningrevealstimetrendsofpolarmicropollutantsinariverbankfiltrationsystem
AT schymanskiemmal nontargetscreeningrevealstimetrendsofpolarmicropollutantsinariverbankfiltrationsystem
AT helmusrick nontargetscreeningrevealstimetrendsofpolarmicropollutantsinariverbankfiltrationsystem
AT timmerharrie nontargetscreeningrevealstimetrendsofpolarmicropollutantsinariverbankfiltrationsystem
AT hollenderjuliane nontargetscreeningrevealstimetrendsofpolarmicropollutantsinariverbankfiltrationsystem
AT devoogtpim nontargetscreeningrevealstimetrendsofpolarmicropollutantsinariverbankfiltrationsystem