Evidence map›Paper›PMID 34677497›Full record

ArticleMembranes2021

Response Surface Methodology for Boron Removal by Donnan Dialysis: Doehlert Experimental Design.

Ikhlass Marzouk Trifi, Lobna Chaabane, Lasâad Dammak, Lassaad Baklouti, Béchir Hamrouni

Abstract read
In one paragraph

Article in Membranes, 2021. 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. 3 Biotech · 2024
    Article
  2. Review
  3. Article
  4. Advances in Technologies for Boron Removal from Water: A Comprehensive Review.International journal of environmental research and public health · 2022
    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

5 authors.

Ikhlass Marzouk TrifiLaboratoire de Recherche Dessalement et Traitement des Eaux, Faculté des Sciences de Tunis, Université de Tunis El Manar, Tunis 1068, Tunisia.ORCID 0000-0002-2614-1325
Lobna ChaabaneInstitut de Chimie et des Matériaux Paris-Est (ICMPE), Université Paris-Est, UMR 7182, CNRS, 2-8 rue Henri Dunant, 94320 Thiais, France.
Lasâad DammakInstitut de Chimie et des Matériaux Paris-Est (ICMPE), Université Paris-Est, UMR 7182, CNRS, 2-8 rue Henri Dunant, 94320 Thiais, France.
Lassaad BakloutiDepartment of Chemistry, College of Sciences and Arts at Al Rass, Qassim University, Ar Rass 51921, Saudi Arabia.
Béchir HamrouniLaboratoire de Recherche Dessalement et Traitement des Eaux, Faculté des Sciences de Tunis, Université de Tunis El Manar, Tunis 1068, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The removal of boron by Donnan dialysis from aqueous solutions has been studied according to response surface methodology (RSM). First, a preliminary study was performed with two membranes (AFN and ACS) in order to determine the experimental field based on different parameters, such as the pH of the feed compartment, the concentration of counter-ions in the receiver compartment, and the concentration of boron in the feed compartment. The best removal rate of boron was 75% with the AFN membrane, but only 48% with the ACS membrane. Then, a full-factor design was developed to determine the influence of these parameters and their interactions on the removal of boron by Donnan dialysis. The pH of the feed compartment was found to be the most important parameter. The RSM was applied according to the Doehlert model to determine the optimum conditions ([B] = 66 mg/L, pH = 11.6 and [Cl

Indexed as

boronDoehlert designDonnan dialysisoptimizationresponse surface methodology

Identifiers

PMID34677497
PMCPMC8540363

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.