Evidence map›Paper›PMID 31115701›Full record

ArticleEnvironmental monitoring and assessment2019

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.

Cornelius Rimayi, Luke Chimuka, Anthony Gravell, Gary R Fones, Graham A Mills

Open access · hybridAbstract read
In one paragraph

Article in Environmental monitoring and assessment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 55 citations in OpenAlex.

  1. Review
  2. Broadband Collision-Induced Dissociation Mass Spectrometry Imaging.Journal of the American Society for Mass Spectrometry · 2025
    Article
  3. Article
  4. Article
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  6. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Cornelius RimayiDepartment of Water and Sanitation, Resource Quality Information Services (RQIS), Roodeplaat, P. Bag X313, Pretoria, 0001, South Africa.
Luke ChimukaSchool of Chemistry, University of the Witwatersrand, P. Bag 3, Wits, Johannesburg, 2050, South Africa.
Anthony GravellNatural Resources Wale, NRW Analytical Services, Swansea University, Faraday Building, Singleton Campus, Swansea, SA2 8PP, UK.
Gary R FonesSchool of Earth and Environmental Sciences, University of Portsmouth, Burnaby Road, Portsmouth, PO1 3QL, UK. gary.fones@port.ac.uk.ORCID http://orcid.org/0000-0002-1999-0716
Graham A MillsSchool of Pharmacy and Biomedical Sciences, University of Portsmouth, White Swan Road, Portsmouth, PO1 2DT, UK.
University of Portsmouth · GBSwansea University · GBUniversity of the Witwatersrand · ZA

Funding

Royal Society IE 150879
6 · The paper itself

Abstract

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.

Indexed as

Environmental MonitoringPesticidesPharmaceutical PreparationsRiversSewageSouth AfricaTandem Mass SpectrometryWater Pollutants, ChemicalPesticidesPharmaceutical PreparationsSewageWater Pollutants, ChemicalChemcatcher®Emerging pollutantsPharmaceuticals and personal care productsScreeningSurface waterTime-of-flight mass spectrometry

Identifiers

PMID31115701
PMCPMC6529598
OpenAlexW2946375926

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.