Evaluation of the Adsorption Efficiency of Graphene Oxide Hydrogels in Wastewater Dye Removal: Application of Principal Component Analysis
Industrial dye wastewater is one of the major water pollution problems. Adsorbent materials are promising strategies for the removal of water dye contaminants. Herein, we provide a statistical and artificial intelligence study to evaluate the adsorption efficiency of graphene oxide-based hydrogels i...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Gels |
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| Online Access: | https://www.mdpi.com/2310-2861/8/7/447 |
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| author | Omar Mouhtady Emil Obeid Mahmoud Abu-samha Khaled Younes Nimer Murshid |
| author_facet | Omar Mouhtady Emil Obeid Mahmoud Abu-samha Khaled Younes Nimer Murshid |
| author_sort | Omar Mouhtady |
| collection | DOAJ |
| description | Industrial dye wastewater is one of the major water pollution problems. Adsorbent materials are promising strategies for the removal of water dye contaminants. Herein, we provide a statistical and artificial intelligence study to evaluate the adsorption efficiency of graphene oxide-based hydrogels in wastewater dye removal by applying Principal Component Analysis (PCA). This study aims to assess the adsorption quality of 35 different hydrogels. We adopted different approaches and showed the pros and cons of each one of them. PCA showed that alginate graphene oxide-based hydrogel (without polyvinyl alcohol) had better tolerance in a basic medium and provided higher adsorption capacity. Polyvinyl alcohol sulfonated graphene oxide-based hydrogels are suitable when higher adsorbent doses are required. In conclusion, PCA represents a robust way to delineate factors affecting hydrogel selection for pollutant removal from aqueous solutions. |
| first_indexed | 2024-03-09T10:18:39Z |
| format | Article |
| id | doaj.art-bef49fd3313343ff9abde80b54cac0fb |
| institution | Directory Open Access Journal |
| issn | 2310-2861 |
| language | English |
| last_indexed | 2024-03-09T10:18:39Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Gels |
| spelling | doaj.art-bef49fd3313343ff9abde80b54cac0fb2023-12-01T22:11:00ZengMDPI AGGels2310-28612022-07-018744710.3390/gels8070447Evaluation of the Adsorption Efficiency of Graphene Oxide Hydrogels in Wastewater Dye Removal: Application of Principal Component AnalysisOmar Mouhtady0Emil Obeid1Mahmoud Abu-samha2Khaled Younes3Nimer Murshid4College of Engineering and Technology, American University of the Middle East, KuwaitCollege of Engineering and Technology, American University of the Middle East, KuwaitCollege of Engineering and Technology, American University of the Middle East, KuwaitCollege of Engineering and Technology, American University of the Middle East, KuwaitCollege of Engineering and Technology, American University of the Middle East, KuwaitIndustrial dye wastewater is one of the major water pollution problems. Adsorbent materials are promising strategies for the removal of water dye contaminants. Herein, we provide a statistical and artificial intelligence study to evaluate the adsorption efficiency of graphene oxide-based hydrogels in wastewater dye removal by applying Principal Component Analysis (PCA). This study aims to assess the adsorption quality of 35 different hydrogels. We adopted different approaches and showed the pros and cons of each one of them. PCA showed that alginate graphene oxide-based hydrogel (without polyvinyl alcohol) had better tolerance in a basic medium and provided higher adsorption capacity. Polyvinyl alcohol sulfonated graphene oxide-based hydrogels are suitable when higher adsorbent doses are required. In conclusion, PCA represents a robust way to delineate factors affecting hydrogel selection for pollutant removal from aqueous solutions.https://www.mdpi.com/2310-2861/8/7/447hydrogelsustainabilitywastewater treatmentprincipal component analysisgraphene oxideadsorption |
| spellingShingle | Omar Mouhtady Emil Obeid Mahmoud Abu-samha Khaled Younes Nimer Murshid Evaluation of the Adsorption Efficiency of Graphene Oxide Hydrogels in Wastewater Dye Removal: Application of Principal Component Analysis Gels hydrogel sustainability wastewater treatment principal component analysis graphene oxide adsorption |
| title | Evaluation of the Adsorption Efficiency of Graphene Oxide Hydrogels in Wastewater Dye Removal: Application of Principal Component Analysis |
| title_full | Evaluation of the Adsorption Efficiency of Graphene Oxide Hydrogels in Wastewater Dye Removal: Application of Principal Component Analysis |
| title_fullStr | Evaluation of the Adsorption Efficiency of Graphene Oxide Hydrogels in Wastewater Dye Removal: Application of Principal Component Analysis |
| title_full_unstemmed | Evaluation of the Adsorption Efficiency of Graphene Oxide Hydrogels in Wastewater Dye Removal: Application of Principal Component Analysis |
| title_short | Evaluation of the Adsorption Efficiency of Graphene Oxide Hydrogels in Wastewater Dye Removal: Application of Principal Component Analysis |
| title_sort | evaluation of the adsorption efficiency of graphene oxide hydrogels in wastewater dye removal application of principal component analysis |
| topic | hydrogel sustainability wastewater treatment principal component analysis graphene oxide adsorption |
| url | https://www.mdpi.com/2310-2861/8/7/447 |
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