Evidence map›Paper›PMID 28699007›Full record

ArticleEnvironmental science and pollution research international2017

Assessment of nonsteroidal anti-inflammatory drugs by ultrasonic-assisted extraction and GC-MS in Mgeni and Msunduzi river sediments, KwaZulu-Natal, South Africa.

Bhekumuzi P Gumbi, Brenda Moodley, Grace Birungi, Patrick G Ndungu

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Article in Environmental science and pollution research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

4 authors.

Bhekumuzi P GumbiSchool of Chemistry and Physics, University of KwaZulu-Natal, Private Bag X 54001, Durban, 4000, South Africa.
Brenda MoodleySchool of Chemistry and Physics, University of KwaZulu-Natal, Private Bag X 54001, Durban, 4000, South Africa.
Grace BirungiDepartment of Chemistry, Mbarara University of Science and Technology, Private Bag, 1410, Mbarara, Uganda.
Patrick G NdunguDepartment of Applied Chemistry, University of Johannesburg, Doornfontein, Private Bag 17011, Johannesburg, 2028, South Africa. pndungu@uj.ac.za.ORCID http://orcid.org/0000-0002-1454-8590

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The occurrence of eight pharmaceuticals was monitored during four seasons (spring, summer, autumn, and winter) along a 250-km stretch of the Msunduzi and Mgeni rivers in KwaZulu-Natal, South Africa. This paper describes an optimized method for the determination of nonsteroidal anti-inflammatory drugs (NSAIDs) in sediments. The method combines ultrasonic, centrifuge, and gas chromatography-mass spectrometry for the detection of these drugs in solid samples. Most of the parameters that affect the extraction step were optimized. Solid samples were placed in a centrifuge tube and extracted with ethyl acetate:acetone (1:1, two cycles), followed by clean-up with Oasis HLB cartridge and derivatization with N, O-bis(trimethylsilyl) trifluoroacetamide (BSTFA). Satisfactory recoveries were obtained ranging from 66 to 130%, depending on the analyte. Precision expressed as RSD (%) (n = 3) was less than 20% for all analytes. The LODs and LOQs were in the range of 0.024 to 1.90 ng g

Indexed as

Anti-Inflammatory Agents, Non-SteroidalEnvironmental MonitoringGas Chromatography-Mass SpectrometryGeologic SedimentsRiversSolid Phase ExtractionSouth AfricaUltrasonicsWater Pollutants, ChemicalAnti-Inflammatory Agents, Non-SteroidalWater Pollutants, ChemicalBiosolids and sedimentsEmerging pollutantsGC-MSNSAIDsUltrasonic-assisted extraction

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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.