Evidence map›Paper›PMID 39226373›Full record

ArticleJournal of the American Society for Mass Spectrometry2024

Sewage and Organic Pollution Compounds in Nairobi River Urban Sediments Characterized by Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR-MS).

Rory P Downham, Christopher H Vane, Benedict Gannon, Lydia A Olaka, Mark P Barrow

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Rory P DownhamDepartment of Chemistry, University of Warwick, Coventry CV4 7AL, United Kingdom.
Christopher H VaneBritish Geological Survey, Organic Geochemistry Facility, Keyworth, Nottingham, NG12 5GG, United Kingdom.
Benedict GannonDepartment of Chemistry, University of Warwick, Coventry CV4 7AL, United Kingdom.
Lydia A OlakaTechnical University of Kenya, Department of Geoscience and Environment, P.O. Box 52428-00200, Nairobi, Kenya.
Mark P BarrowDepartment of Chemistry, University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID 0000-0002-6474-5357

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nairobi River sediments from locations adjacent to the Kawangware and Kiambio slums were analyzed via Fourier transform ion cyclotron resonance mass spectrometry with atmospheric pressure photoionization (APPI-FT-ICR-MS). The data from these ultrahigh resolution, untargeted measurements provided new insights into the impacts of local anthropogenic activity, which included likely benzo- and dibenzothiophene pollution with a suspected petrogenic origin, and prominent surfactant-like compositions. Other features in the data included highly abundant tetra-oxygenated compounds, and oxygenated nitrogen compounds with sphingolipid interpretations. Most notably, several hydrocarbon and oxygenated compound classes in the sediment data featured intensity patterns consistent with steroid molecular formulas, including those associated with sewage contamination investigatory work. In support of this interpretation, standards of cholesterol, β-sitosterol, stigmasterol, coprostanol, cholestanol, and 5α-sitostanol were analyzed via APPI, to explore steroid ionization behavior. Generally, these analytes produced radical molecular ions ([M]

Indexed as

CyclotronsFourier AnalysisGeologic SedimentsMass SpectrometryRiversSewageWater Pollutants, ChemicalCitiesEnvironmental MonitoringKenyaOrganic ChemicalsSteroidsOrganic ChemicalsSewageSteroidsWater Pollutants, Chemical

Identifiers

PMID39226373
PMCPMC11450967

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Registered trials

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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.