Evidence map›Paper›PMID 31795189›Full record

ArticleMaterials (Basel, Switzerland)2019

Use of Low-Cost Magnetic Materials Containing Waste Derivatives for the (Photo)-Fenton Removal of Organic Pollutants.

Paola Calza, Jessica Di Sarro, Giuliana Magnacca, Alessandra Bianco Prevot, Enzo Laurenti

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

5 authors.

Paola CalzaDipartimento di Chimica, Università di Torino, via P. Giuria 7, I-10125 Torino, Italy.
Jessica Di SarroDipartimento di Chimica, Università di Torino, via P. Giuria 7, I-10125 Torino, Italy.
Giuliana MagnaccaDipartimento di Chimica, Università di Torino, via P. Giuria 7, I-10125 Torino, Italy.ORCID 0000-0002-3798-5232
Alessandra Bianco PrevotDipartimento di Chimica, Università di Torino, via P. Giuria 7, I-10125 Torino, Italy.ORCID 0000-0002-1545-9119
Enzo LaurentiDipartimento di Chimica, Università di Torino, via P. Giuria 7, I-10125 Torino, Italy.ORCID 0000-0001-7363-4002

Funding

H2020 Marie Skłodowska-Curie Actions 645551
6 · The paper itself

Abstract

Hybrid magnetite/maghemite nanoparticles (MNP) coated with waste-sourced bio-based substances (BBS) were synthesized and studied for the degradation of phenol, chosen as a model pollutant, in water. A systematic study was undertaken in order to rationalize MNP-BBS behavior and optimize their performance. The effect of experimental parameters, such as light irradiation, addition of hydrogen peroxide, and the ratio between hydrogen peroxide and MNP-BBS concentrations, was studied. The generation of hydroxyl radicals was assessed, and the recovery and re-cycle of the material was investigated. Our results indicate that phenol degradation could be attained by both Fenton and photo-Fenton processes, with higher efficiency in dark condition and in the presence of a suitable amount of hydrogen peroxide. Evidence was obtained for the roles of iron ions leached from the materials as well as of organic matter released in the solution upon partial photodegradation of the organic coating. The reusability tests indicated a lower but still valid performance of the material. Optimization of the experimental conditions was performed to achieve the highest efficiency in substrate degradation, and fundamental insights into the mechanism of the MNP-BBS Fenton-like reaction were obtained.

Indexed as

coprecipitation synthesisFentonmagnetic nanoparticlesmagnetitepollutantsurban waste

Identifiers

PMID31795189
PMCPMC6926715

What OpenQuestion holds

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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.