Parametric Study of Methyl Orange Removal Using Metal–Organic Frameworks Based on Factorial Experimental Design Analysis

Wastewater treatment plants (WWTPs) are one of the most energy-intensive industries. Every stage of wastewater treatment consumes energy, which is the primary contributor to WWTP costs. Adsorbents and process optimization are critical for energy savings. The removal of dyes from industrial wastewate...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Karami, Abdollah (author)
مؤلفون آخرون: Shomal, Reem (author), Sabouni, Rana (author), Al-Sayah, Mohammad (author), Aidan, Ahmed (author)
التنسيق: article
منشور في: 2022
الموضوعات:
الوصول للمادة أونلاين:https://hdl.handle.net/11073/32606
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author Karami, Abdollah
author2 Shomal, Reem
Sabouni, Rana
Al-Sayah, Mohammad
Aidan, Ahmed
author2_role author
author
author
author
author_facet Karami, Abdollah
Shomal, Reem
Sabouni, Rana
Al-Sayah, Mohammad
Aidan, Ahmed
author_role author
dc.creator.none.fl_str_mv Karami, Abdollah
Shomal, Reem
Sabouni, Rana
Al-Sayah, Mohammad
Aidan, Ahmed
dc.date.none.fl_str_mv 2022-06-24
2026-01-21T11:07:41Z
2026-01-21T11:07:41Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv Karami, A., Shomal, R., Sabouni, R., Al-Sayah, M. H., & Aidan, A. (2022). Parametric Study of Methyl Orange Removal Using Metal–Organic Frameworks Based on Factorial Experimental Design Analysis. Energies, 15(13), 4642. https://doi.org/10.3390/en15134642
1996-1073
https://hdl.handle.net/11073/32606
10.3390/en15134642
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv MDPI
dc.relation.none.fl_str_mv https://doi.org/10.3390/en15134642
dc.rights.none.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.subject.none.fl_str_mv Metal–Organic Frameworks (MOFs)
Energy-Saving
Adsorption
Methyl Orange
Factorial Design
Analysis Of Variance (ANOVA)
Pareto Chart
dc.title.none.fl_str_mv Parametric Study of Methyl Orange Removal Using Metal–Organic Frameworks Based on Factorial Experimental Design Analysis
dc.type.none.fl_str_mv Peer-Reviewed
Published version
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Wastewater treatment plants (WWTPs) are one of the most energy-intensive industries. Every stage of wastewater treatment consumes energy, which is the primary contributor to WWTP costs. Adsorbents and process optimization are critical for energy savings. The removal of dyes from industrial wastewater by adsorption using commercially available adsorbents is inefficient. Metal–organic frameworks (MOFs) have outstanding properties that can improve separation performance over current commercial adsorbents, and thus, these materials represent a milestone in improving dye removal in water treatment methods. In this work, three types of metal–organic frameworks (Fe-BTC, Cu-BTC, and ZIF-8) have been investigated as prospective adsorbents for methyl orange removal from water in batch setups. The results showed that at 15 mg/L MO initial concentration and 100 mg dosage, Fe-BTC had the highest removal efficiency of 91%, followed by ZIF-8 (63%), and finally Cu-BTC (35%), which exhibited structural damage due to its instability in water. Fe-BTC maintained consistent adsorption capacity over a wide range of pH values. Furthermore, a 23 full factorial design analysis was implemented to evaluate the conditions for maximum MO-removal efficiency. The main effects, interaction effects, analysis of variance (ANOVA), and the Pareto chart were reported. The statistical analysis demonstrated that the MOF type was the most significant factor, followed by dosage and initial concentration. The analysis indicated that the type of MOF and dosage had a positive effect on the removal efficiency, while the initial concentration had a negative effect. The two-way and three-way interactions were also found to be significant.
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identifier_str_mv Karami, A., Shomal, R., Sabouni, R., Al-Sayah, M. H., & Aidan, A. (2022). Parametric Study of Methyl Orange Removal Using Metal–Organic Frameworks Based on Factorial Experimental Design Analysis. Energies, 15(13), 4642. https://doi.org/10.3390/en15134642
1996-1073
10.3390/en15134642
language_invalid_str_mv en
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oai_identifier_str oai:repository.aus.edu:11073/32606
publishDate 2022
publisher.none.fl_str_mv MDPI
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rights_invalid_str_mv Attribution 4.0 International
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spelling Parametric Study of Methyl Orange Removal Using Metal–Organic Frameworks Based on Factorial Experimental Design AnalysisKarami, AbdollahShomal, ReemSabouni, RanaAl-Sayah, MohammadAidan, AhmedMetal–Organic Frameworks (MOFs)Energy-SavingAdsorptionMethyl OrangeFactorial DesignAnalysis Of Variance (ANOVA)Pareto ChartWastewater treatment plants (WWTPs) are one of the most energy-intensive industries. Every stage of wastewater treatment consumes energy, which is the primary contributor to WWTP costs. Adsorbents and process optimization are critical for energy savings. The removal of dyes from industrial wastewater by adsorption using commercially available adsorbents is inefficient. Metal–organic frameworks (MOFs) have outstanding properties that can improve separation performance over current commercial adsorbents, and thus, these materials represent a milestone in improving dye removal in water treatment methods. In this work, three types of metal–organic frameworks (Fe-BTC, Cu-BTC, and ZIF-8) have been investigated as prospective adsorbents for methyl orange removal from water in batch setups. The results showed that at 15 mg/L MO initial concentration and 100 mg dosage, Fe-BTC had the highest removal efficiency of 91%, followed by ZIF-8 (63%), and finally Cu-BTC (35%), which exhibited structural damage due to its instability in water. Fe-BTC maintained consistent adsorption capacity over a wide range of pH values. Furthermore, a 23 full factorial design analysis was implemented to evaluate the conditions for maximum MO-removal efficiency. The main effects, interaction effects, analysis of variance (ANOVA), and the Pareto chart were reported. The statistical analysis demonstrated that the MOF type was the most significant factor, followed by dosage and initial concentration. The analysis indicated that the type of MOF and dosage had a positive effect on the removal efficiency, while the initial concentration had a negative effect. The two-way and three-way interactions were also found to be significant.American University of SharjahMDPI2026-01-21T11:07:41Z2026-01-21T11:07:41Z2022-06-24Peer-ReviewedPublished versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfKarami, A., Shomal, R., Sabouni, R., Al-Sayah, M. H., & Aidan, A. (2022). Parametric Study of Methyl Orange Removal Using Metal–Organic Frameworks Based on Factorial Experimental Design Analysis. Energies, 15(13), 4642. https://doi.org/10.3390/en151346421996-1073https://hdl.handle.net/11073/3260610.3390/en15134642enhttps://doi.org/10.3390/en15134642Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/oai:repository.aus.edu:11073/326062026-01-22T08:26:08Z
spellingShingle Parametric Study of Methyl Orange Removal Using Metal–Organic Frameworks Based on Factorial Experimental Design Analysis
Karami, Abdollah
Metal–Organic Frameworks (MOFs)
Energy-Saving
Adsorption
Methyl Orange
Factorial Design
Analysis Of Variance (ANOVA)
Pareto Chart
status_str publishedVersion
title Parametric Study of Methyl Orange Removal Using Metal–Organic Frameworks Based on Factorial Experimental Design Analysis
title_full Parametric Study of Methyl Orange Removal Using Metal–Organic Frameworks Based on Factorial Experimental Design Analysis
title_fullStr Parametric Study of Methyl Orange Removal Using Metal–Organic Frameworks Based on Factorial Experimental Design Analysis
title_full_unstemmed Parametric Study of Methyl Orange Removal Using Metal–Organic Frameworks Based on Factorial Experimental Design Analysis
title_short Parametric Study of Methyl Orange Removal Using Metal–Organic Frameworks Based on Factorial Experimental Design Analysis
title_sort Parametric Study of Methyl Orange Removal Using Metal–Organic Frameworks Based on Factorial Experimental Design Analysis
topic Metal–Organic Frameworks (MOFs)
Energy-Saving
Adsorption
Methyl Orange
Factorial Design
Analysis Of Variance (ANOVA)
Pareto Chart
url https://hdl.handle.net/11073/32606