Cargando…

Use of the Chemcatcher® passive sampler and time-of-flight mass spectrometry to screen for emerging pollutants in rivers in Gauteng Province of South Africa

Many rivers in urbanised catchments in South Africa are polluted by raw sewage and effluent to an extent that their ecological function has been severely impaired. The Hennops and Jukskei Rivers lying in the Hartbeespoort Dam catchment are two of the worst impacted rivers in South Africa and are in...

Descripción completa

Detalles Bibliográficos
Autores principales: Rimayi, Cornelius, Chimuka, Luke, Gravell, Anthony, Fones, Gary R., Mills, Graham A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6529598/
https://www.ncbi.nlm.nih.gov/pubmed/31115701
http://dx.doi.org/10.1007/s10661-019-7515-z
_version_ 1783420432086466560
author Rimayi, Cornelius
Chimuka, Luke
Gravell, Anthony
Fones, Gary R.
Mills, Graham A.
author_facet Rimayi, Cornelius
Chimuka, Luke
Gravell, Anthony
Fones, Gary R.
Mills, Graham A.
author_sort Rimayi, Cornelius
collection PubMed
description Many rivers in urbanised catchments in South Africa are polluted by raw sewage and effluent to an extent that their ecological function has been severely impaired. The Hennops and Jukskei Rivers lying in the Hartbeespoort Dam catchment are two of the worst impacted rivers in South Africa and are in need of rehabilitation. Passive sampling (Chemcatcher® with a HLB receiving phase) together with high-resolution tandem mass spectrometry–targeted screening was used to provide high sensitivity and selectivity for the identification of a wide range of emerging pollutants in these urban waters. Over 200 compounds, including pesticides, pharmaceuticals and personal care products, drugs of abuse and their metabolites were identified. Many substances (~ 180) being detected for the first time in surface water in South Africa. General medicines and psychotropic drugs were the two most frequently detected groups in the catchment. These accounted for 49% of the emerging pollutants found. Of the general medicines, antihypertensive agents, beta-blocking and cardiac drugs were the most abundant (28%) classes detected. The Hennops site, downstream of a dysfunctional wastewater treatment plant, was the most polluted with 123 substances detected. From the compounds detected, peak intensity–based prioritisation was used to identify the five most abundant pollutants, being in the order caffeine > lopinavir > sulfamethoxazole > cotinine > trimethoprim. This work provides the largest available high-quality dataset of emerging pollutants detected in South African urban waters. The data generated in this study provides a solid foundation for subsequent work to further characterise (suspect screening) and quantify (target analysis) these substances. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10661-019-7515-z) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6529598
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-65295982019-06-07 Use of the Chemcatcher® passive sampler and time-of-flight mass spectrometry to screen for emerging pollutants in rivers in Gauteng Province of South Africa Rimayi, Cornelius Chimuka, Luke Gravell, Anthony Fones, Gary R. Mills, Graham A. Environ Monit Assess Article Many rivers in urbanised catchments in South Africa are polluted by raw sewage and effluent to an extent that their ecological function has been severely impaired. The Hennops and Jukskei Rivers lying in the Hartbeespoort Dam catchment are two of the worst impacted rivers in South Africa and are in need of rehabilitation. Passive sampling (Chemcatcher® with a HLB receiving phase) together with high-resolution tandem mass spectrometry–targeted screening was used to provide high sensitivity and selectivity for the identification of a wide range of emerging pollutants in these urban waters. Over 200 compounds, including pesticides, pharmaceuticals and personal care products, drugs of abuse and their metabolites were identified. Many substances (~ 180) being detected for the first time in surface water in South Africa. General medicines and psychotropic drugs were the two most frequently detected groups in the catchment. These accounted for 49% of the emerging pollutants found. Of the general medicines, antihypertensive agents, beta-blocking and cardiac drugs were the most abundant (28%) classes detected. The Hennops site, downstream of a dysfunctional wastewater treatment plant, was the most polluted with 123 substances detected. From the compounds detected, peak intensity–based prioritisation was used to identify the five most abundant pollutants, being in the order caffeine > lopinavir > sulfamethoxazole > cotinine > trimethoprim. This work provides the largest available high-quality dataset of emerging pollutants detected in South African urban waters. The data generated in this study provides a solid foundation for subsequent work to further characterise (suspect screening) and quantify (target analysis) these substances. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10661-019-7515-z) contains supplementary material, which is available to authorized users. Springer International Publishing 2019-05-21 2019 /pmc/articles/PMC6529598/ /pubmed/31115701 http://dx.doi.org/10.1007/s10661-019-7515-z Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Rimayi, Cornelius
Chimuka, Luke
Gravell, Anthony
Fones, Gary R.
Mills, Graham A.
Use of the Chemcatcher® passive sampler and time-of-flight mass spectrometry to screen for emerging pollutants in rivers in Gauteng Province of South Africa
title Use of the Chemcatcher® passive sampler and time-of-flight mass spectrometry to screen for emerging pollutants in rivers in Gauteng Province of South Africa
title_full Use of the Chemcatcher® passive sampler and time-of-flight mass spectrometry to screen for emerging pollutants in rivers in Gauteng Province of South Africa
title_fullStr Use of the Chemcatcher® passive sampler and time-of-flight mass spectrometry to screen for emerging pollutants in rivers in Gauteng Province of South Africa
title_full_unstemmed Use of the Chemcatcher® passive sampler and time-of-flight mass spectrometry to screen for emerging pollutants in rivers in Gauteng Province of South Africa
title_short Use of the Chemcatcher® passive sampler and time-of-flight mass spectrometry to screen for emerging pollutants in rivers in Gauteng Province of South Africa
title_sort use of the chemcatcher® passive sampler and time-of-flight mass spectrometry to screen for emerging pollutants in rivers in gauteng province of south africa
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6529598/
https://www.ncbi.nlm.nih.gov/pubmed/31115701
http://dx.doi.org/10.1007/s10661-019-7515-z
work_keys_str_mv AT rimayicornelius useofthechemcatcherpassivesamplerandtimeofflightmassspectrometrytoscreenforemergingpollutantsinriversingautengprovinceofsouthafrica
AT chimukaluke useofthechemcatcherpassivesamplerandtimeofflightmassspectrometrytoscreenforemergingpollutantsinriversingautengprovinceofsouthafrica
AT gravellanthony useofthechemcatcherpassivesamplerandtimeofflightmassspectrometrytoscreenforemergingpollutantsinriversingautengprovinceofsouthafrica
AT fonesgaryr useofthechemcatcherpassivesamplerandtimeofflightmassspectrometrytoscreenforemergingpollutantsinriversingautengprovinceofsouthafrica
AT millsgrahama useofthechemcatcherpassivesamplerandtimeofflightmassspectrometrytoscreenforemergingpollutantsinriversingautengprovinceofsouthafrica