Evidence map›Paper›PMID 32152859›Full record

ArticleEnvironmental science and pollution research international2020

Zebrafish toxicity assessment of the photocatalysis-biodegradation of diclofenac using composites of TiO

Claude Daou, Aline Hamade, El Mountassir El Mouchtari, Salah Rafqah, Anne Piram, Pascal Wong-Wah-Chung, Fadia Najjar

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2020. 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. Article
  2. Article
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

7 authors.

Claude DaouLaboratory of Analytical Chemistry, Faculty of Sciences II, Lebanese University, Fanar, Lebanon. claude.daou@ul.edu.lb.
Aline HamadeLaboratory of Therapeutic Innovation, Faculty of Sciences II, Lebanese University, Fanar, Lebanon.
El Mountassir El MouchtariLaboratory of Analytical and Molecular Chemistry, Polydisciplinary Faculty of Safi, Cadi Ayyad University, Marrakesh, Morocco.
Salah RafqahLaboratory of Analytical and Molecular Chemistry, Polydisciplinary Faculty of Safi, Cadi Ayyad University, Marrakesh, Morocco.
Anne PiramLaboratory of Environmental Chemistry, CNRS, Aix Marseille University, Marseille, France.
Pascal Wong-Wah-ChungLaboratory of Environmental Chemistry, CNRS, Aix Marseille University, Marseille, France.
Fadia NajjarLaboratory of Therapeutic Innovation, Faculty of Sciences II, Lebanese University, Fanar, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The occurrence and persistence of pharmaceutical products (PPs) in the environment have recently been well-documented and are a major concern for public health. Their incidence in aquatic ecosystems is the result of their direct release without any prior treatment or insufficient wastewater treatment. Therefore, an efficient and safe posttreatment process for removing PPs must be developed. In this study, we focused on the ability of photocatalysis or combined photocatalysis and biodegradation to effectively and safely remove diclofenac (DCF) and its by-products from water. The heterogeneous photocatalysis system was based on bio-sourced activated carbon obtained from Argania spinosa tree nutshells and Degussa P25 titanium dioxide (ACP-TiO

Indexed as

SapotaceaeAnimalsCatalysisCharcoalDiclofenacEcosystemPseudomonas aeruginosaTitaniumTreesWater Pollutants, ChemicalZebrafishCharcoalDiclofenacTitaniumtitanium dioxideWater Pollutants, ChemicalACP-TiO2BiodegradationDiclofenacHeterogeneous photocatalysisToxicityZebrafish

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.