Evidence map›Paper›PMID 28455569›Full record

ArticleEnvironmental science and pollution research international2017

Photolysis of pharmaceuticals and personal care products in the marine environment under simulated sunlight conditions: irradiation and identification.

Aasim Musa Mohamed Ali, Roland Kallenborn, Leiv Kristen Sydnes, Helene Thorsen Rønning, Walied Mohamed Alarif, Sultan Al-Lihaibi

Abstract read
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In one paragraph

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

6 authors.

Aasim Musa Mohamed AliDepartment of Marine Chemistry, Faculty of Marine Sciences, King Abdulaziz University, PO Box 80207, Jeddah, 21589, Saudi Arabia.
Roland KallenbornFaculty of Chemistry, Biotechnology and Food Sciences (KBM), Norwegian University of Life Sciences (NMBU), Christian M. Falsen veg 1, NO-1432, Ås, Norway. roland.kallenborn@nmbu.no.
Leiv Kristen SydnesDepartment of Chemistry, University of Bergen, P.O. Box 7803, N-5020, Bergen, Norway.
Helene Thorsen RønningSchool of Veterinary Sciences, Norwegian University of Life Sciences (NMBU), Ullevålsveien 72, -0454, Oslo, NO, Norway.
Walied Mohamed AlarifDepartment of Marine Chemistry, Faculty of Marine Sciences, King Abdulaziz University, PO Box 80207, Jeddah, 21589, Saudi Arabia.
Sultan Al-LihaibiDepartment of Marine Chemistry, Faculty of Marine Sciences, King Abdulaziz University, PO Box 80207, Jeddah, 21589, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The photochemical fate of 16 pharmaceuticals and personal care products (PPCPs) found in the environment has been studied under controlled laboratory conditions applying a sunlight simulator. Aqueous samples containing PPCPs at environmentally relevant concentrations were extracted by solid-phase extraction (SPE) after irradiation. The exposed extracts were subsequently analysed by liquid chromatography combined with triple quadrupole mass spectrometry (HPLC-MS/MS) for studying the kinetics of photolytic transformations. Almost all exposed PPCPs appeared to react with a half-life time (τ

Indexed as

PhotolysisAnimalsCosmeticsFishesIndian OceanPharmaceutical PreparationsSaudi ArabiaSunlightTandem Mass SpectrometryWater Pollutants, ChemicalCosmeticsPharmaceutical PreparationsWater Pollutants, ChemicalPersonal care productsPharmaceuticalsPhotochemical transformationRed SeaSewage treatmentTransformation products

Identifiers

What OpenQuestion holds

Textmetadata
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.