Evidence map›Paper›PMID 35516539›Full record

ArticleRSC advances2020

Removal of atrazine from aqueous solutions onto a magnetite/chitosan/activated carbon composite in a fixed-bed column system: optimization using response surface methodology.

Ignace Agani, Jacques K Fatombi, Sèmiyou A Osseni, Esta A Idohou, David Neumeyer, Marc Verelst, Robert Mauricot, Taofiki Aminou

Abstract read
In one paragraph

Article in RSC advances, 2020. 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

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

8 authors.

Ignace AganiLaboratoire de Chimie de l'Eau et de l'Environnement (LCEE), Ecole Normale Supérieure de Natitingou Benin jacquesfatombi@yahoo.fr +229-97895404.
Jacques K FatombiLaboratoire de Chimie de l'Eau et de l'Environnement (LCEE), Ecole Normale Supérieure de Natitingou Benin jacquesfatombi@yahoo.fr +229-97895404.ORCID https://orcid.org/0000-0002-4655-3968
Sèmiyou A OsseniLaboratoire de Chimie de l'Eau et de l'Environnement (LCEE), Ecole Normale Supérieure de Natitingou Benin jacquesfatombi@yahoo.fr +229-97895404.ORCID https://orcid.org/0000-0002-2436-4728
Esta A IdohouLaboratoire de Chimie de l'Eau et de l'Environnement (LCEE), Ecole Normale Supérieure de Natitingou Benin jacquesfatombi@yahoo.fr +229-97895404.
David NeumeyerCentre d'Elaboration de Matériaux et d'Etudes Structurales, Université de Toulouse - UPS 29 rue Jeanne Marvig, Cedex 4 31055 Toulouse BP 94347 France.ORCID https://orcid.org/0000-0002-3204-9525
Marc VerelstCentre d'Elaboration de Matériaux et d'Etudes Structurales, Université de Toulouse - UPS 29 rue Jeanne Marvig, Cedex 4 31055 Toulouse BP 94347 France.
Robert MauricotCentre d'Elaboration de Matériaux et d'Etudes Structurales, Université de Toulouse - UPS 29 rue Jeanne Marvig, Cedex 4 31055 Toulouse BP 94347 France.
Taofiki AminouLaboratoire d'Expertise et de Recherche en Chimie de l'Eau et de l'Environnement (LERCEE), UAC Benin.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a magnetite/chitosan/activated carbon (MCHAC) composite is proposed as an efficient adsorbent for the removal of atrazine from aqueous solutions. The prepared composite was characterized using Fourier-transform infrared (FTIR) and X-ray diffraction (XRD) methods. Response surface methodology (RSM) coupled with composite central design (CCD) were used to optimize the effects of the four independent variables, pH, initial concentration of atrazine (

Identifiers

PMID35516539
PMCPMC9057781

What OpenQuestion holds

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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.