Evidence map›Paper›PMID 38609385›Full record

ArticleScientific reports2024

Novel collector design and optimized photo-fenton model for sustainable industry textile wastewater treatment.

Heba A El-Gawad, Montaser Y Ghaly, N F El Hussieny, M Abdel Kreem, Y Reda

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
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

0 citing papers in PubMed, 16 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 1 country.

Heba A El-GawadDepartment of Engineering Mathematics and Physics, Higher Institute of Engineering, El-Shorouk Academy, Cairo, Egypt. hebaabdelgawad8@gmail.com.
Montaser Y GhalyNational Research Centre, Chemical Engineering and Pilot Plant Department, Canal High Institute of Engineering and Technology, Suez, Egypt.
N F El HussienyHigher Technological Institute, 10th of Ramadan City, Egypt.
M Abdel KreemHigher Technological Institute, 10th of Ramadan City, Egypt.
Y RedaNational Research Centre, Chemical Engineering and Pilot Plant Department, Canal High Institute of Engineering and Technology, Suez, Egypt.
Higher Technological Institute · EGNational Research Centre · EGHigher Institute of Engineering · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Textile industry wastewater containing toxic dyes and high COD poses environmental hazards and requires treatment before discharge. This study addresses the challenge of treating complex textile wastewater using a novel integrated system. The system combines sedimentation, screening, adsorption, and an optimized solar photo-Fenton process to provide a sustainable treatment solution. A novel parabolic collector with a larger absorber tube diameter enhances solar radiation utilization at lower catalyst concentrations. This design is versatile, treating all types of wastewaters, especially those that contain colors, smells, solid and suspended materials, in addition to its importance for the treatment of difficult substances that may be present in industrial and sewage wastewaters that are difficult to dispose of by traditional treatment methods. Multivariate experiments optimized key photo-Fenton parameters (pH, catalyst dose, etc.) achieving significant pollutant removal (85% COD, 82% TOC, complete color) under specific conditions (pH 3, 0.2 g/L Fe(II), 1 mL/L H

Indexed as

Classical processesDeveloped oxidation processesFree hydroxyl radicalsIntegrated unitSolar photo-fenton processWastewater treatment

Identifiers

PMID38609385
PMCPMC11014862
OpenAlexW4394768960

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.