Evidence map›Paper›PMID 32999300›Full record

ArticleScientific reports2020

Statistical modeling and optimization of heterogeneous Fenton-like removal of organic pollutant using fibrous catalysts: a full factorial design.

Mohammad Neaz Morshed, Md Nahid Pervez, Nemeshwaree Behary, Nabil Bouazizi, Jinping Guan, Vincent A Nierstrasz

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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.

Mohammad Neaz MorshedTextile Material Technology, Department of Textile Technology, Faculty of Textiles, Engineering and Business, University of Borås, 50190, Borås, Sweden. mohammad_neaz.morshed@hb.se.
Md Nahid PervezSwedish Centre for Resource Recovery, Faculty of Textiles, Engineering and Business, University of Borås, 50190, Borås, Sweden.
Nemeshwaree BeharyEcole Nationale Supérieure des Arts et Industries Textiles (ENSAIT), GEMTEX Laboratory, 2 allée Louise et Victor Champier BP 30329, 59056, Roubaix, France.
Nabil BouaziziEcole Nationale Supérieure des Arts et Industries Textiles (ENSAIT), GEMTEX Laboratory, 2 allée Louise et Victor Champier BP 30329, 59056, Roubaix, France.
Jinping GuanCollege of Textile and Clothing Engineering, Soochow University, Suzhou, 215006, China.
Vincent A NierstraszTextile Material Technology, Department of Textile Technology, Faculty of Textiles, Engineering and Business, University of Borås, 50190, Borås, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work focuses on the optimization of heterogeneous Fenton-like removal of organic pollutant (dye) from water using newly developed fibrous catalysts based on a full factorial experimental design. This study aims to approximate the feasibility of heterogeneous Fenton-like removal process and optionally make predictions from this approximation in a form of statistical modeling. The fibrous catalysts were prepared by dispersing zerovalent iron nanoparticles on polyester fabrics (PET) before and after incorporation of either polyamidoamine (PAMAM, -NH

Identifiers

PMID32999300
PMCPMC7528022

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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.