Evidence map›Paper›PMID 38658625›Full record

ArticleScientific reports2024

Optimization and modelling of magnesium oxide (MgO) photocatalytic degradation of binary dyes using response surface methodology.

Hyeong Kwang Benno Park, Pushpendra Kumar, Imen Kebaili, Imed Boukhris, Yun Hwan Joo, Tae Hyun Sung, Anuruddh Kumar

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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. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

7 authors.

Hyeong Kwang Benno Park *Department of Electrical Engineering, Hanyang University, Seoul, 04763, South Korea.
Pushpendra Kumar *Indian Institute of Technology Mandi, Mandi, Himachal Pradesh, 175005, India.
Imen KebailiDepartment of Physics, Faculty of Science, King Khalid University, P.O. Box 9004, Abha, Saudi Arabia.
Imed BoukhrisDepartment of Physics, Faculty of Science, King Khalid University, P.O. Box 9004, Abha, Saudi Arabia.
Yun Hwan JooDepartment of Electrical Engineering, Hanyang University, Seoul, 04763, South Korea.
Tae Hyun SungDepartment of Electrical Engineering, Hanyang University, Seoul, 04763, South Korea.
Anuruddh KumarCenter for Creative Convergence Education, Hanyang University, Seoul, 04763, South Korea. anuruddh07@hanyang.ac.kr.

Funding

Deanship of Scientifc Research at Imam Mohammad Ibn Saud Islamic University IMSIU-RP23019Deanship of Scientific Research, King Khalid University L.R.G.P2/431/44Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) 20192010106790
6 · The paper itself

Abstract

Textile industry dye effluent contains a mixture of different kinds of dyes. Many times, photocatalysis is targeted as a solution for the treatment of dye effluent from the textile industry. Many researches have been published related to the photocatalysis of single textile dyes but in the real-world scenario, effluent is a mixture of dyes. Magnesium oxide (MgO) is used as a photocatalyst to treat a mixture (binary solution) of Methylene blue (MB) and Methylene violet (MV) along with individual MB and MV dyes in this article. MgO shows remarkable photocatalytic activity at about 93 and 88% for MB and MV dye in binary solution within 135 min. Furthermore, to study the influence of process parameters, experiments are designed with the help of the central composite design (CCD), and Response surface methodology (RSM) is used to study the interactions between parameters. For this study, five parameters are selected i.e., Photocatalyst dosage, initial concentration of both dyes, time of exposure to the light source, and pH of the binary solution. The photocatalytic process is also optimized and finally optimization of process parameters is validated with an experiment. The result of the validation experiment is very close to the predicted photocatalytic activity.

Indexed as

Binary dyeCentral composite design (CCD)Magnesium oxide (MgO)Parameter optimizationParametric studyPhotocatalysisResponse surface methodology (RSM)

Identifiers

PMID38658625
PMCPMC11043076

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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.